Workshop
NeurIPS 2024 Workshop: Machine Learning and the Physical Sciences
Siddharth Mishra-Sharma · Nicole Hartman · Vinicius Mikuni · Mariel Pettee · Sebastian Wagner-Carena · Antoine Wehenkel · Kyle Cranmer · Savannah Thais · Benjamin Nachman · Brian Nord
West Exhibition Hall C, B3
Sun 15 Dec, 8:15 a.m. PST
Physical sciences and machine learning: more than the sum of their parts. Join us to discuss research at the convergence of these fields!
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sun 8:15 a.m. - 8:30 a.m.
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Opening remarks
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Opening remarks
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SlidesLive Video |
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Sun 8:30 a.m. - 9:00 a.m.
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Invited talk: data-driven vs inductive bias-driven methods in machine learning and the physical sciences
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Invited talk
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SlidesLive Video |
Lukas Heinrich 🔗 |
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Sun 9:00 a.m. - 10:00 a.m.
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Panel: data-driven vs inductive bias-driven methods in machine learning and the physical sciences
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Invited panel
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SlidesLive Video |
Animashree Anandkumar · Naoya Takeishi · Johannes Brandstetter 🔗 |
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Sun 10:00 a.m. - 10:30 a.m.
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Coffee break
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Sun 10:30 a.m. - 11:00 a.m.
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Invited talk: Pushing the limits of real-time ML: Nanosecond inference for Physics Discovery at the LHC
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Invited talk
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SlidesLive Video |
Thea Klaeboe Aarrestad 🔗 |
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Sun 11:00 a.m. - 12:15 p.m.
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Poster session 1
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Poster session
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Sun 12:15 p.m. - 1:15 p.m.
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Lunch break
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Sun 1:15 p.m. - 1:30 p.m.
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Contributed talk: Joint cosmological parameter inference and initial condition reconstruction with Stochastic Interpolants
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Contributed talk
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SlidesLive Video |
Carolina Cuesta 🔗 |
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Sun 1:30 p.m. - 2:00 p.m.
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Large language models & quantum many-body physics: a case study
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Invited talk
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SlidesLive Video |
Yasaman Bahri 🔗 |
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Sun 2:00 p.m. - 2:30 p.m.
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Invited talk: Valid scientific inference with neural density estimators and generative models
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Invited talk
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SlidesLive Video |
Ann Lee 🔗 |
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Sun 2:30 p.m. - 2:45 p.m.
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Contributed talk: Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
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Contributed talk
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SlidesLive Video |
Annalena Kofler 🔗 |
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Sun 2:45 p.m. - 3:00 p.m.
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Contributed talk: Robust Emulator for Compressible Navier-Stokes using Equivariant Geometric Convolutions
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Contributed talk
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SlidesLive Video |
Wilson G. Gregory 🔗 |
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Sun 3:00 p.m. - 3:30 p.m.
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Coffee break
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Coffee break
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Sun 3:30 p.m. - 3:45 p.m.
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Contributed talk: The State of Julia for Scientific Machine Learning
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Contributed talk
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SlidesLive Video |
Edward Berman 🔗 |
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Sun 3:45 p.m. - 4:15 p.m.
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Data-Driven High-Dimensional Inverse Problems: A Journey Through Strong Gravitational Lensing Data Analysis
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Invited talk
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SlidesLive Video |
Laurence Perreault-Levasseur 🔗 |
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Sun 4:15 p.m. - 5:25 p.m.
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Poster session 2
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Poster session
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Sun 5:25 p.m. - 5:30 p.m.
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Closing remarks
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Closing remarks
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SlidesLive Video |
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Neural Networks for Dissipative Physics Using Morse-Feshbach Lagrangian ( Poster ) > link | Veera Sundararaghavan · Jeff Simmons · Megna Shah 🔗 |
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OrbNet-Spin: Quantum Mechanics Informed Geometric Deep Learning For Open-shell Systems ( Poster ) > link | Beom Seok Kang · Amin Tavakoli · Vignesh Bhethanabotla · William Goddard · Animashree Anandkumar 🔗 |
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Enhancing Molecular Expressiveness through Multi-View Representations ( Poster ) > link | Indra Priyadarsini S · Seiji Takeda · Lisa Hamada · Hajime Shinohara 🔗 |
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Learning Conformal Field Theory with Symbolic Regression: Recovering the Symbolic Expressions for the Energy Spectrum ( Poster ) > link | Haotian Cao · Garrett Merz · Kyle Cranmer · Gary Shiu 🔗 |
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Physics-informed reduced order model with conditional neural fields ( Poster ) > link | Minji Kim · Tianshu Wen · Kookjin Lee · Youngsoo Choi 🔗 |
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Learning the Evolution of Physical Structure of Galaxies via Diffusion Models ( Poster ) > link | Andrew Lizarraga · Eric Jiang · Jacob Nowack · Yunqi Li · Ying Nian Wu · Bernie Boscoe · Tuan Do 🔗 |
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Simulation-based inference with scattering representations: scattering is all you need ( Poster ) > link | Kiyam Lin · Benjamin Joachimi · Jason McEwen 🔗 |
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A Platform, Dataset, and Challenge for Uncertainty-Aware Machine Learning ( Poster ) > link |
15 presentersDavid Rousseau · Wahid Bhimji · Ragansu Chakkappai · Steven Farrell · Aishik Ghosh · Isabelle Guyon · Chris Harris · Elham E Khoda · Benjamin Nachman · Ihsan Ullah · Sascha Diefenbacher · Yuan-Tang Chou · Paolo Calafiura · Yulei Zheng · Jordan Dudley |
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Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow ( Poster ) > link | Seung Whan Chung · Youngsoo Choi · Pratanu Roy · Thomas Roy · Tiras Y. Lin · Du Nguyen · Christopher Hahn · Eric Duoss · Sarah Baker 🔗 |
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Domain-Adaptive ML for Surface Roughness Predictions in Nuclear Fusion ( Poster ) > link | Shashank Galla · Antonios Alexos · Jay Yoo · Junze Liu · Kshitij Bhardwaj · Sean Hayes · Monika Biener · Pierre Baldi · Satish Bukkapatnam · Suhas Bhandarkar 🔗 |
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3D-PDR Orion dataset and NeuralPDR: Neural Ordinary Equations for Photodissociation regions ( Poster ) > link | Gijs Vermariën · Serena Viti · Rahul Ravichandran · Thomas Bisbas 🔗 |
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Tomographic SAR Reconstruction for Forest Height Estimation ( Poster ) > link | Grace Colverd · Jumpei Takami · Laura Schade · Karol Bot · Joseph Alejandro Gallego Mejia 🔗 |
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Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction ( Poster ) > link | Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow 🔗 |
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Neural network prediction of strong lensing systems with domain adaptation and uncertainty quantification ( Poster ) > link | Shrihan Agarwal · Aleksandra Ciprijanovic · Brian Nord 🔗 |
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Domain adaptation in application to gravitational lens finding ( Poster ) > link | Hanna Parul · Michael Toomey · Pranath Reddy Kumbam · Sergei Gleyzer 🔗 |
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Hybrid Summary Statistics ( Poster ) > link | Lucas Makinen · Ce Sui · Benjamin Wandelt 🔗 |
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The State of Julia for Scientific Machine Learning ( Poster ) > link | Edward Berman · Jacob Ginesin 🔗 |
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PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions ( Poster ) > link | Mihir Relan · Yash Semlani · Krithik Ramesh 🔗 |
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Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics ( Poster ) > link | Josiah Kratz · Jacob Adamczyk 🔗 |
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Domain Adaptation of Drag Reduction Policy to Partial Measurements ( Poster ) > link | Anton Plaksin · Georgios Rigas 🔗 |
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Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching ( Poster ) > link | Akshay Subramanian · Shuhui Qu · Cheol Woo Park · Sulin Liu · Janghwan Lee · Rafael Gomez-Bombarelli 🔗 |
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Learning functional forms of fragmentation functions for hadron production using symbolic regression ( Poster ) > link | Nour Makke · Sanjay Chawla 🔗 |
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Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks ( Poster ) > link | Nikhil Garuda · John Wu · Dylan Nelson · Annalisa Pillepich 🔗 |
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DiffLense: A Conditional Diffusion Model for Super-Resolution of Gravitational Lensing Data ( Poster ) > link | Pranath Reddy Kumbam · Michael Toomey · Hanna Parul · Sergei Gleyzer 🔗 |
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Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics ( Poster ) > link | Annalena Kofler · Vincent Stimper · Mikhail Mikhasenko · Michael Kagan · Lukas Heinrich 🔗 |
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Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks ( Poster ) > link | Yurii Kvasiuk · Jordan Krywonos · Matthew Johnson · Moritz Münchmeyer 🔗 |
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Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics ( Poster ) > link | Philipp Schmidt · Carlos Ruiz-Gonzalez · Sören Arlt · Xuemei Gu · Carla Rodríguez · Mario Krenn 🔗 |
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Neural Entropy ( Poster ) > link | Akhil Premkumar 🔗 |
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Robust one-shot spectroscopic multi-component gas mixture detection via randomized smoothing ( Poster ) > link | Mohamed Sy · Emad Al Ibrahim · Aamir Farooq 🔗 |
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Galaxy Dust Maps with Conditional Score Models ( Poster ) > link | Jared Siegel · Peter Melchior 🔗 |
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Data-Driven Reweighting for Monte Carlo Simulations ( Poster ) > link | Ahmed Youssef · Christian Bierlich · Philip Ilten · Tony Menzo · Stephen Mrenna · Manuel Szewc · Michael K. Wilkinson · Jure Zupan 🔗 |
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Improving Flow Matching for Simulation-Based Inference ( Poster ) > link | Janis Fluri · Thomas Hofmann 🔗 |
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Equation-driven Neural Networks for Periodic Quantum Systems ( Poster ) > link | Circe Hsu · Marios Mattheakis · Gabriel Schleder · Daniel Larson 🔗 |
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Galaxy Morphology Classification with Counterfactual Explanation ( Poster ) > link | Zhuo Cao · Lena Krieger · Hanno Scharr · Ira Assent 🔗 |
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AP-SVM: Unsupervised Data Cleaning for the LEGEND Experiment ( Poster ) > link |
11 presentersEsteban León · Julieta Gruszko · Aobo Li · Brady Bos · M.A. Schott · John Wilkerson · Reyco Henning · Matthew Busch · Eric Martin · Guadalupe Duran · Jason Chapman |
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Learning Physics From Video: Unsupervised Physical Parameter Estimation for Dynamical Systems ( Poster ) > link | Alejandro Garcia · Jan van Gemert · Daan Brinks · Nergis Tomen 🔗 |
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Towards a Reinforcement Learning framework for purely online 3D-molecular structure discovery ( Poster ) > link | Bjarke Hastrup · François Cornet · Tejs Vegge · Arghya Bhowmik 🔗 |
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A perspective on symbolic machine learning in physical sciences ( Poster ) > link | Nour Makke · Sanjay Chawla 🔗 |
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Semi-supervised Super-resolution for Gravitational Lenses with Estimated Degradation Model ( Poster ) > link | Peimeng Guan · Michael Toomey · Sergei Gleyzer 🔗 |
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Exact and approximate error bounds for physics-informed neural networks ( Poster ) > link | Augusto Chantada · Pavlos Protopapas · Luca Gomez Bachar · Susana Landau · Claudia Scóccola 🔗 |
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AI Meets Antimatter: Unveiling Antihydrogen Annihilations ( Poster ) > link |
12 presentersAshley Ferreira · Mahip Singh · Andrea Capra · Ina Carli · Daniel Quiceno · Wojciech Fedorko · Makoto Fujiwara · Muyan Li · Lars Martin · Yukiya Saito · Gareth Smith · Anqi Xu |
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S-KANformer: Enhancing Transformers for Symbolic Calculations in High Energy Physics ( Poster ) > link | Ritesh Bhalerao · Eric Reinhardt · Sergei Gleyzer · Nobuchika Okada · Victor Baules 🔗 |
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Uncertainty Quantification for Martian Surface Spectral Analysis using Bayesian Deep Learning ( Poster ) > link | Mark Hinds · Michael Geyer · Natalie Klein 🔗 |
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Reconstructing Quasar Spectra and Measuring the Ly$\alpha$ Forest with {\sc SpenderQ} ( Poster ) > link | ChangHoon Hahn · Satya Gontcho A Gontcho · Peter Melchior 🔗 |
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Neural Posterior Unfolding ( Poster ) > link | Jingjing Pan · Benjamin Nachman · Vinicius Mikuni · Jay Chan · Krish Desai · Fernando Torales Acosta 🔗 |
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Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks ( Poster ) > link | Indu Kant Deo · Rajeev Jaiman 🔗 |
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D3PU: Denoising Diffusion Detector Probabilistic Unfolding in High-Energy Physics ( Poster ) > link | Camila Pazos · Shuchin Aeron · Pierre-Hugues Beauchemin · Vincent Croft · Martin Klassen · Taritree Wongjirad 🔗 |
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Digital Discovery of interferometric Gravitational Wave Detectors ( Poster ) > link | Mario Krenn · Yehonathan Drori · Rana Adhikari 🔗 |
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Training Hamiltonian neural networks without backpropagation ( Poster ) > link | Atamert Rahma · Chinmay Datar · Felix Dietrich 🔗 |
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Using Variational Autoencoding to Infer the Masses of Exoplanets Embedded in the Disks of Gas and Dust Orbiting Young Stars ( Poster ) > link | Sayed Mahmud · Ramit Dey · Sayantan Auddy · Neal Turner · Jeffrey Bary 🔗 |
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Machine Learning for Reparameterization of Multi-scale Closures ( Poster ) > link | Hilary Egan · peter ciecielski · hariswaram sitaraman · megan crowley 🔗 |
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Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture ( Poster ) > link | Subash Katel · Haoyang Li · Zihan Zhao · Javier Duarte 🔗 |
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Super-Resolution without High-Resolution label for Black Hole Simulations ( Poster ) > link | Thomas Helfer · Thomas Edwards · Jessica Dafflon · Kaze W. K. Wong · Matthew Olson 🔗 |
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Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows ( Poster ) > link | Alicja Polanska · Thibeau Wouters · Peter Pang · Kaze W. K. Wong · Jason McEwen 🔗 |
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Machine learned reconstruction of tsunami waves from sparse observations ( Poster ) > link | Edward McDugald · Darren Engwirda · Arvind Mohan · Agnese Marcato · Javier E. Santos 🔗 |
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Robust Emulator for Compressible Navier-Stokes using Equivariant Geometric Convolutions ( Poster ) > link | Wilson G. Gregory · David W Hogg · Kaze W. K. Wong · Soledad Villar 🔗 |
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BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching ( Poster ) > link | RuiKang OuYang · Bo Qiang · José Miguel Hernández-Lobato 🔗 |
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PhysBERT: A Text Embedding Model for Physics Scientific Literature ( Poster ) > link | Thorsten Hellert · Andrea Pollastro · João Montenegro 🔗 |
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Enhancing Cosmological Simulations with Efficient and Interpretable Machine Learning in the Gabor Wavelet Basis ( Poster ) > link | Cooper Jacobus · Leander Thiele · Peter Harrington · Jia Liu · Zarija Lukić 🔗 |
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Diffusion models for lattice gauge field simulations ( Poster ) > link | Qianteng Zhu · Gert Aarts · Wei Wang · Kai Zhou · Lingxiao Wang 🔗 |
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3D Cloud reconstruction through geospatially-aware Masked Autoencoders ( Poster ) > link | Stella Girtsou · Emiliano Diaz · Lilli Freischem · Joppe Massant · Kyriaki-Margarita Bintsi · Giuseppe Castiglione · William Jones · Michael Eisinger · J. Emmanuel Johnson · Anna Jungbluth 🔗 |
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Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry ( Poster ) > link | Mostafa Cherif · Tobías I. Liaudat · Jonathan Kern · Christophe Kervazo · Bobin 🔗 |
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GFlowNets for Hamiltonian decomposition in groups of compatible operators ( Poster ) > link | Rodrigo Vargas-Hernandez · Isaac L. Huidobro-Meezs · Dai · Guillaume Rabusseau 🔗 |
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Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power ( Poster ) > link | Till Korten · Vladimir Rybnikov · Mathias Vogt · Juliane Roensch-Schulenburg · Peter Steinbach · Najmeh Mirian 🔗 |
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Discovering How Ice Crystals Grow Using NODE's and Symbolic Regression ( Poster ) > link | Kara Lamb · Jerry Harrington 🔗 |
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Loss function to optimise signal significance in particle physics ( Poster ) > link | Jai Bardhan · Cyrin Neeraj · Subhadip Mitra · Tanumoy Mandal 🔗 |
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Sharing Space: A Survey-agnostic Variational Autoencoder for Supernova Science ( Poster ) > link | Kaylee de Soto · Ana Sofia Uzsoy · V Villar 🔗 |
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Two-Stage Coefficient Estimation in Symbolic Regression for Scientific Discovery ( Poster ) > link | Masahiro Negishi · Yoshitomo Matsubara · Naoya Chiba · Ryo Igarashi · Yoshitaka Ushiku 🔗 |
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Transforming Simulation to Data Without Pairing ( Poster ) > link | Eli Gendreau-Distler · Luc Le Pottier · Haichen Wang 🔗 |
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Correcting misspecified score-based priors for inverse problems: An application to strong gravitational lensing ( Poster ) > link | Gabriel Missael Barco · Alexandre Adam · Connor Stone · Yashar Hezaveh · Laurence Perreault-Levasseur 🔗 |
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Joint cosmological parameter inference and initial condition reconstruction with Stochastic Interpolants ( Poster ) > link | Carolina Cuesta · Adrian Bayer · Michael Albergo · Siddharth Mishra-Sharma · Chirag Modi · Daniel Eisenstein 🔗 |
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Reconstructing dissipative dynamical systems from spatially and temporally sparse sensors ( Poster ) > link | Alex Guo · Galen Craven · Javier E. Santos · Charles Young 🔗 |
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GraphNeT 2.0 - A Deep Learning Library for Neutrino Telescopes ( Poster ) > link | Rasmus Ørsøe · Aske Rosted 🔗 |
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Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing ( Poster ) > link | Indu Kant Deo · Youngsoo Choi · Saad Khairallah · Alexandre Reikher · Maria Strantza 🔗 |
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Port-Hamiltonian Neural Networks for Learning Coupled Systems and Their Interactions ( Poster ) > link | Razmik A. Khosrovian · Takaharu Yaguchi · Takashi Matsubara 🔗 |
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Neural Embeddings Evolve as Interacting Particles ( Poster ) > link | Rohan Mehta · Ziming Liu · Max Tegmark 🔗 |
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Learning Fluid-Directed Rigid Body Control ( Poster ) > link | Kārlis Freivalds · Oskars Teikmanis · Laura Leja · Saltanovs Rodions · Ralfs Āboliņš 🔗 |
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Path-minimizing Latent ODEs as Inference Models ( Poster ) > link | Matt Sampson · Peter Melchior 🔗 |
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Dyson Brownian motion and random matrix dynamics of weight matrices during learning ( Poster ) > link | Gert Aarts · Ouraman Hajizadeh · Biagio Lucini · Chanju Park 🔗 |
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Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions ( Poster ) > link | Alessio Spagnoletti · Marc Huertas-Company · Alexandre Boucaud · Wassim Kabalan · Biswajit Biswas 🔗 |
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TELD: Trajectory-Level Langevin Dynamics for Versatile Constrained Sampling ( Poster ) > link | Magnus Petersen · Gemma Roig · Roberto Covino 🔗 |
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Point cloud diffusion models for the Electron-Ion Collider ( Poster ) > link | Fernando Torales Acosta · Vinicius Mikuni · Felix Ringer · Nobuo Sato · Richard Whitehill 🔗 |
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Generation and Human-Expert Evaluation of Interesting Research Ideas using Knowledge Graphs and Large Language Models ( Poster ) > link | Xuemei Gu · Mario Krenn 🔗 |
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Geometry-aware PINNs for Turbulent Flow Prediction ( Poster ) > link | Shinjan Ghosh · Julian Busch · Georgia Olympia Brikis · Biswadip Dey 🔗 |
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Real-time Position Reconstruction for the KamLAND-Zen Experiment using Hardware-AI Co-design ( Poster ) > link | Alexander Migala · Eugene Ku · Zepeng Li · Aobo Li 🔗 |
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fBm-Based Generative Inpainting for the Reconstruction of Chromosomal Distances ( Poster ) > link | Alexander Lobashev · Dmitry Guskov · Kirill Polovnikov 🔗 |
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Neural Infalling Clouds: Increasing the Efficacy of Subgrid Models and Scientific Equation Discovery using Neural ODEs and Symbolic Regression ( Poster ) > link | Brent Tan 🔗 |
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Automated discovery of large-scale, noise-robust experimental designs in super-resolution microscopy ( Poster ) > link | Carla Rodríguez · Sören Arlt · Leonhard Möckl · Mario Krenn 🔗 |
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Climate PAL: Climate Analysis through Conversational AI ( Poster ) > link | Sonia Cromp · Behrad Rabiei · Maxwell Elling · Alexander J. Herron · Michael Hendrickson 🔗 |
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MRI Parameters Mapping via Variational Inference ( Poster ) > link | Moucheng Xu · Yukun Zhou · Tobias Goodwin-Allcock · Kimia Firoozabadi · Joseph Jacob · Daniel Alexander · Paddy Slator 🔗 |
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Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network ( Poster ) > link | Yuxuan Gu · Catherine Spurin · Gege Wen 🔗 |
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FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition ( Poster ) > link | Milad Ramezankhani · Rishi Parekh · Anirudh Deodhar · Dagnachew Birru 🔗 |
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CODES: Benchmarking Coupled ODE Surrogates ( Poster ) > link | Robin Janssen · Immanuel Sulzer · Tobias Buck 🔗 |
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First High-Resolution Galaxy Simulations Accelerated by a 3D Surrogate Model for Supernovae ( Poster ) > link | Keiya Hirashima · Kana Moriwaki · Michiko Fujii · Yutaka Hirai · Takayuki Saitoh · Junichiro Makino · Ulrich Steinwandel · Shirley Ho 🔗 |
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Multidimensional Deconvolution with Profiling ( Poster ) > link | Huanbiao Zhu · Mikael Kuusela · Larry Wasserman · Benjamin Nachman · Krish Desai · Vinicius Mikuni 🔗 |
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ChemLit-QA: A human evaluated dataset for chemistry RAG tasks ( Poster ) > link | Geemi Wellawatte · Philippe Schwaller · Huixuan Guo · Marta Brucka · Anna Borisova · Matthew Hart · Magdalena Lederbauer 🔗 |
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Embedding Theoretical Baselines For Satellite Force Estimations ( Poster ) > link | Benjamin Y. J. Wong · Sai Ramesh · Boo Cheong Khoo 🔗 |
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Evaluating Sparse Galaxy Simulations via Out-of-Distribution Detection and Amortized Bayesian Model Comparison ( Poster ) > link | Lingyi Zhou · Stefan Radev · William H. Oliver · Aura Obreja · Zehao Jin · Tobias Buck 🔗 |
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RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification ( Poster ) > link | Daniel Kyselica · Marek Suppa · Jiří Šilha · Roman Ďurikovič 🔗 |
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CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning ( Poster ) > link |
30 presentersHao Cui · Zahra Shamsi · Xuejian Ma · Gowoon Cheon · Shutong Li · Maria Tikhanovskaya · Nayantara Mudur · Martyna Plomecka · Peter Norgaard · Paul Raccuglia · Victor V. Albert · Yasaman Bahri · Pranesh Srinivasan · Haining Pan · Philippe Faist · Brian Rohr · Michael Statt · Dan Morris · Drew Purves · Elise Kleeman · Ruth Alcantara · Matthew Abraham · Muqthar Mohammad · Ean Phing VanLee · Chenfei Jiang · Elizabeth Dorfman · Eun-Ah Kim · Michael Brenner · Sameera Ponda · Subhashini Venugopalan |
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Neural 3D Reconstruction of 21-cm Tomographic Data ( Poster ) > link | Nashwan Sabti · Ram Purandhar Reddy Sudha · Julian Muñoz · Siddharth Mishra-Sharma · Taewook Youn 🔗 |
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Bumblebee: Foundational Model for Particle Physics Discovery ( Poster ) > link | Andrew Wildridge · Jack Rodgers · Mia Liu · Yao Yao · Andreas Jung · Ethan Colbert 🔗 |
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From particle clouds to tokens: building foundation models for particle physics ( Poster ) > link | Joschka Birk · Anna Hallin · Gregor Kasieczka 🔗 |
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A method for identifying causality in the response of nonlinear dynamical systems ( Poster ) > link | Joseph Massingham · Ole Nielsen · Tore Butlin 🔗 |
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LLM Enhanced Bayesian Optimization for Scientific Applications like Fusion ( Poster ) > link | Sahand Ghorbanpour · Ricardo Luna Gutierrez · Vineet Gundecha · Desik Rengarajan · Ashwin Ramesh Babu · Soumyendu Sarkar 🔗 |
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PolarBERT: A Foundation Model for IceCube ( Poster ) > link | Inar Timiryasov · Jean-Loup Tastet · Oleg Ruchayskiy 🔗 |
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Product Manifold Machine Learning for Physics ( Poster ) > link | Nate Woodward · Sangeon Park · Gaia Grosso · Jeffrey Krupa · Philip Harris 🔗 |
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Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds $\circ$ jf1uids ( Poster ) > link | Leonard Storcks · Tobias Buck 🔗 |
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DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America ( Poster ) > link | Daniel Seal · Rossella Arcucci · Salva Rühling Cachay · César Quilodrán-Casas 🔗 |
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Synax: A Differentiable and GPU-accelerated Synchrotron Simulation Package ( Poster ) > link | Kangning Diao · Zequn Li · Richard Grumitt · Yi Mao 🔗 |
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Transfer Learning in Materials Informatics: structure-property relationships through minimal but highly informative multimodal input ( Poster ) > link | Dario Massa · Grzegorz Kaszuba · Stefanos Papanikolaou · Piotr Sankowski 🔗 |
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Variational Loss Landscapes for Periodic Orbits ( Poster ) > link | Leo Yao · Ziming Liu · Max Tegmark 🔗 |
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Learning Locally Adaptive Metrics that Enhance Structural Representation with LAMINAR ( Poster ) > link | Christian Kleiber · William H. Oliver · Tobias Buck 🔗 |
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Explicit and data-Efficient Encoding via Gradient Flow ( Poster ) > link | Kyriakos Flouris · Anna Volokitin · Gustav Bredell · Ender Konukoglu 🔗 |
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Which bits went where? Past and future transfer entropy decomposition with the information bottleneck ( Poster ) > link | Kieran Murphy · Zhuowen Yin · Danielle S Bassett 🔗 |
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Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes ( Poster ) > link | Ufuk Çakır · Anna Schaible · Tobias Buck 🔗 |
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Cosmological super-resolution of the 21-cm signal ( Poster ) > link | Simon Pochinda · Jiten Dhandha · Anastasia Fialkov · Eloy de Lera Acedo 🔗 |
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Diffusion-Based Inpainting of Corrupted Spectrogram ( Poster ) > link | Mahsa Massoud · Reyhane Askari Hemmat · Kai-Feng Chen · Jiakun Liu · Siamak Ravanbakhsh 🔗 |
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Uncertainty-Penalized Bayesian Information Criterion for Parametric Partial Differential Equation Discovery ( Poster ) > link | Pongpisit Thanasutives · Ken-ichi Fukui 🔗 |
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Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning ( Poster ) > link | Elizaveta Reganova · Peter Steinbach 🔗 |
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Normalising Flow for Joint Cosmological Analysis ( Poster ) > link | Arrykrishna Mootoovaloo · David Alonso · Jaime Ruiz-Zapatero · Carlos Garcia-Garcia 🔗 |
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Dynamic Curriculum Regularization for Enhanced Training of Physics-Informed Neural Networks ( Poster ) > link | Callum Duffy · Gergana V Velikova 🔗 |
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Inferring Stability Properties of Chaotic Systems on Autoencoders’ Latent Spaces ( Poster ) > link | Elise Özalp · Luca Magri 🔗 |
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A neural surrogate solver for radiation transfer ( Poster ) > link | Aleksei Sorokin · Xiaoyi Lu · Yi Wang 🔗 |
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Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion ( Poster ) > link | Vineet Gundecha · Ricardo Luna Gutierrez · Sahand Ghorbanpour · Desik Rengarajan · Rahman Ejaz · Varchas Gopalaswamy · Riccardo Betti · Soumyendu Sarkar 🔗 |
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Towards Commercialization of Tokamaks: Time Series Viewmakers for Robust Disruption Prediction ( Poster ) > link | Dhruva Chayapathy · Tavis Siebert · Akshata Kishore Moharir · Lucas Spangher · Om Patil · Cristina Rea 🔗 |
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Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions ( Poster ) > link |
13 presentersIan Lu · Hao Jia · Sebastian Gonzalez · Deniz Sogutlu · J. Quetzalcoatl Toledo-Marin · Sehmimul Hoque · Abhishek Abhishek · Colin Gay · Roger Melko · Eric Paquet · Geoffrey Fox · Maximilian Swiatlowski · Wojciech Fedorko |
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CASBI – Chemical Abundance Simulation-Based Inference for Galactic Archeology ( Poster ) > link | Giuseppe Viterbo · Tobias Buck 🔗 |
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Symbolic regression for precision LHC physics ( Poster ) > link | Manuel Morales Alvarado · Josh Bendavid · Daniel Conde · Veronica Sanz · Maria Ubiali 🔗 |
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Explainable Deep Learning Framework for SERS Bio-quantification ( Poster ) > link | Jihan K. Zaki · Jakub Tomasik · Sabine Bahn · Jade McCune · Pietro Lió · Oren Scherman 🔗 |
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Topological data analysis of large swarming dynamics ( Poster ) > link | Yoh-ichi Mototake · Shinichi Ishida · Norihiro Maruyama · Takashi Ikegami 🔗 |
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Higher-order cumulants in diffusion models ( Poster ) > link | Gert Aarts · Ntiaa Entin Habibi · Lingxiao Wang · Kai Zhou 🔗 |
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Galaxy Formation and Evolution via Phase-temporal Clustering with FuzzyCat $\circ$ AstroLink ( Poster ) > link | William H. Oliver · Tobias Buck 🔗 |
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DeepUQ: A Systematic Comparison of Aleatoric Uncertainties from Deep Learning Methods ( Poster ) > link | Becky Nevin · Brian Nord · Aleksandra Ciprijanovic 🔗 |
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Fine-tuning Foundation Models for Molecular Dynamics: A Data-Efficient Approach with Random Features ( Poster ) > link | Pietro Novelli · Luigi Bonati · Pedro J. Buigues · Giacomo Meanti · Lorenzo Rosasco · Michele Parrinello · Massimiliano Pontil 🔗 |
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Deep Multimodal Representation Learning for Stellar Spectra ( Poster ) > link | Tobias Buck · Christian Schwarz 🔗 |
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WOTAN: Weakly-supervised Optimal Transport Attention-based Noise Mitigation ( Poster ) > link | Nathan Suri · Vinicius Mikuni · Benjamin Nachman 🔗 |
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Multi-Wavelength Analysis of Kilonova Associated with GRB 230307A: Accelerated Parameter Estimation and Model Selection Through Likelihood-Free Inference ( Poster ) > link | P. Darc · Clecio Roque Bom · Gabriel Teixeira · Charles Kilpatrick · Nora Sherman · Marcelo Portes de Albuquerque · Paulo Russano 🔗 |
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A Physics-Informed Autoencoder-NeuralODE Framework (Phy-ChemNODE) for Learning Complex Fuel Combustion Kinetics ( Poster ) > link | Tadbhagya Kumar · Pinaki Pal · Anuj Kumar 🔗 |
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Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification ( Poster ) > link | Canberk Ekmekci · Tekin Bicer · Zichao Di · Junjing Deng · Mujdat Cetin 🔗 |
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History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs) ( Poster ) > link | Jassem Abbasi · Ben Moseley · Takeshi Kurotori · Ameya Jagtap · Anthony Kovscek · Aksel Hiorth · Pål Andersen 🔗 |
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Reconstructing micro-magnetic vector fields based on topological charge distributions via generative neural network systems ( Poster ) > link | Kyra Klos · Jan Disselhoff · Karin Everschor-Sitte · Friederike Schmid 🔗 |
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Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems ( Poster ) > link | Félix Chavelli · Zi-Yu Khoo · Dawen Wu · Jonathan Low · Stéphane Bressan 🔗 |
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Systematic Uncertainties and Data Complexity in Normalizing Flows ( Poster ) > link | Sandip Roy · Yonatan Kahn · Jessie Shelton · Victoria Tiki 🔗 |
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Fast probabilistic galaxy field generation with diffusion models ( Poster ) > link | Tanner Sether · Elena Giusarma · Mauricio Reyes Hurtado 🔗 |
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Using transfer learning to improve the generalization of machine learning models for photometric redshift estimation ( Poster ) > link | Jonathan Soriano · Srinath Saikrishnan · Vikram Seenivasan · Bernie Boscoe · Jack Singal · Tuan Do 🔗 |
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Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients ( Poster ) > link | Nicolò Oreste Pinciroli Vago · Piero Fraternali 🔗 |
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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept ( Poster ) > link | Sam A. Scivier · Tarje Nissen-Meyer · Paula Koelemeijer · Atilim Gunes Baydin 🔗 |
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Physics-based Differentiable X-ray Rendering Improves Unsupervised 3D CBCT Reconstruction ( Poster ) > link | Mohammadhossein Momeni · Vivek Gopalakrishnan · Neel Dey · Polina Golland · Sarah Frisken 🔗 |
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Towards Using Large Language Models and Deep Reinforcement Learning for Inertial Fusion Energy ( Poster ) > link | Vadim Elisseev · Massimiliano Esposito · James Sexton 🔗 |
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An end-to-end generative model for heavy-ion collisions ( Poster ) > link | Jing-An Sun 🔗 |
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Shaping Flames with Differentiable Physics Simulations ( Poster ) > link | Laura Leja · Kārlis Freivalds · Oskars Teikmanis 🔗 |
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Jrystal: A JAX-based Differentiable Density Functional Theory Framework for Materials ( Poster ) > link | Tianbo Li · Zekun Shi · Stephen Dale · Giovanni Vignale · Min Lin 🔗 |
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Towards long rollout of neural operators with local attention and flow matching-inspired correction: An example in frontal polymerization PDEs ( Poster ) > link | Pengfei Cai · Sulin Liu · Qibang Liu · Philippe Geubelle · Rafael Gomez-Bombarelli 🔗 |
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LensPINN: Physics Informed Neural Network for Learning Dark Matter Morphology in Lensing ( Poster ) > link | Ashutosh Ojha · Sergei Gleyzer · Michael Toomey · Pranath Reddy Kumbam 🔗 |
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Diffusion-Based Inverse Solver on Function Spaces With Applications to PDEs ( Poster ) > link | Abbas Mammadov · Julius Berner · Kamyar Azizzadenesheli · Jong Chul Ye · Animashree Anandkumar 🔗 |
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Dissipativity-Informed Learning for Chaotic Dynamical Systems with Attractor Characterization ( Poster ) > link | Sunbochen Tang · Themis Sapsis · Navid Azizan 🔗 |
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Taylor Mode Neural Operators: Enhancing Computational Efficiency in Physics-Informed Neural Operators ( Poster ) > link | Anas Jnini · Flavio Vella 🔗 |
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GeoWavelets: Spherical Wavelets for Fair Implicit Representations of Earth Data ( Poster ) > link | Daniel Cai · Randall Balestriero 🔗 |
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Uncertainty Quantification From Scaling Laws in Deep Neural Networks ( Poster ) > link | Ibrahim Elsharkawy · Yonatan Kahn · Benjamin Hooberman 🔗 |
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SE(3) Equivariant Topologies for Structure-based Drug Discovery ( Poster ) > link | Alvaro Prat · Roy Tal Dew · Hisham Aty · Aurimas Pabrinkis · Orestis Bastas · Tanya Paquet · Gintautas Kamuntavicius · Roy Tal 🔗 |
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Learning dictionaries of New Physics with sparse local kernels ( Poster ) > link | Gaia Grosso · Philip Harris · Ekaterina Govorkova · Eric Moreno · Ryan Raikman 🔗 |
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Unlocking Ion-Scale Coherent Structures in the Solar Wind with Machine Learning ( Poster ) > link | Yufei Yang 🔗 |
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Live Constrained Deep Learning Models Optimize Unmanned Underwater Vehicle Control Systems ( Poster ) > link | Brian Zhou · Kamal Viswanath · Jason Geder 🔗 |
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Mean-Field Simulation-Based Inference for Cosmological Initial Conditions ( Poster ) > link | Oleg Savchenko · Florian List · Noemi Anau Montel · Christoph Weniger · Guillermo Franco Abellán 🔗 |
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AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design ( Poster ) > link | Asal Mehradfar · Xuzhe Zhao · Yue Niu · Sara Babakniya · Mahdi Alesheikh · Hamidreza Aghasi · Salman Avestimehr 🔗 |
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Constrained Synthesis with Projected Diffusion Models ( Poster ) > link | Jacob K Christopher · Stephen Baek · Nando Fioretto 🔗 |
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MATEY: multiscale adaptive foundation models for spatiotemporal physical systems ( Poster ) > link | Pei Zhang · M. Laiu · Matthew Norman · Doug Stefanski · John Gounley 🔗 |
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Neural rendering enables dynamic tomography ( Poster ) > link | Ivan Grega · Will Whitney · Vikram Deshpande 🔗 |
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A machine learning approach to duality in statistical physics ( Poster ) > link | Prateek Gupta · Andrea Ferrari · Nabil Iqbal 🔗 |
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Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents ( Poster ) > link | Zechang Sun · Yuan-Sen Ting · Yaobo Liang · Nan Duan · Song Huang · Zheng Cai 🔗 |
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No Location Left Behind: Introducing the Fairness Assessment for Implicit Representations of Earth Data ( Poster ) > link | Daniel Cai · Randall Balestriero 🔗 |
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PICL: Learning to Incorporate Physical Information When Only Coarse-Grained Data is Available ( Poster ) > link | Haodong Feng · Yue Wang · Dixia Fan 🔗 |
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Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance ( Poster ) > link | Marvin Richter · Abhishek Dubey · Axel Plinge · Christopher Mutschler · Daniel Scherer · Michael Hartmann 🔗 |
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Randomized reward redistribution for HPGe waveform classification under weakly-supervised learning setup ( Poster ) > link | Sonata Simonaitis-Boyd · Aobo Li 🔗 |
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Unpaired Translation of Point Clouds for Modeling Detector Response ( Poster ) > link | Mingyang Li · Curtis Hunt · Michelle Kuchera · Raghuram Ramanujan · Yassid Ayyad · Adam Anthony 🔗 |
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Can KANs (re)discover predictive models for Direct-Drive Laser Fusion? ( Poster ) > link | Rahman Ejaz · Varchas Gopalaswamy · Aarne Lees · Riccardo Betti · Christopher Kanan 🔗 |
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Conditional Diffusion Models for Generating Images of SDSS-Like Galaxies ( Poster ) > link | Mikaeel Yunus · John Wu · Timothy Heckman · Benne Holwerda 🔗 |
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Video-Driven Graph Network-Based Simulators ( Poster ) > link | Franciszek Szewczyk · Gilles Louppe · Matthia Sabatelli 🔗 |
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Uncertainty Quantification for Surface Ozone Emulators using Deep Learning ( Poster ) > link | Kelsey Doerksen · Yuliya Marchetti · James Montgomery · Yarin Gal · Freddie Kalaitzis · Kazuyuki Miyazaki · Kevin Bowman · Steven Lu 🔗 |
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Towards Agentic AI on Particle Accelerators ( Poster ) > link | Antonin Sulc · Thorsten Hellert · Raimund Kammering · Hayden Hoschouer · Jason St. John 🔗 |
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Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements ( Poster ) > link | Amit Rege · Kristopher Tucker · Conor Smith · Claire Monteleoni 🔗 |
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Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models ( Poster ) > link | Fengzhe Zhang · Jiajun He · Laurence Midgley · Javier Antorán · José Miguel Hernández-Lobato 🔗 |
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Neural Network Simulation of Time-variant Waves on Arbitrary Grids with Applications in Active Sonar ( Poster ) > link | Yash Ranjith 🔗 |
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Meta-Designing Quantum Experiments with Language Models ( Poster ) > link | Sören Arlt · Haonan Duan · Felix Li · Sang Michael Xie · Yuhuai Wu · Mario Krenn 🔗 |
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Amortizing intractable inference in diffusion models for Bayesian inverse problems ( Poster ) > link |
17 presentersSiddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yashar Hezaveh · Laurence Perreault-Levasseur · Yoshua Bengio · Glen Berseth · Nikolay Malkin |
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Evidential deep learning for probabilistic modelling of extreme storm events ( Poster ) > link | Ayush Khot · Xihaier Luo · Ai Kagawa · Shinjae Yoo 🔗 |
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Score-based models for 1/f correlated noise correction in James Webb Space Telescope spectral data ( Poster ) > link | Salma Salhi · Alexandre Adam · Loic Albert · Rene Doyon · Laurence Perreault-Levasseur 🔗 |
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Physics-guided Optimization of Photonic Structures using Denoising Diffusion Probabilistic Models ( Poster ) > link | Dongjin Seo · Soobin Um · Sangbin Lee · Jong Chul Ye · Haejun Chung 🔗 |
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Generation of Air Shower Images for Imaging Air Cherenkov Telescopes using Diffusion Models ( Poster ) > link | Christian Elflein · Stefan Funk · Jonas Glombitza · Vinicius Mikuni · Benjamin Nachman · Lark Wang 🔗 |
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Clifford Flows ( Poster ) > link | Francesco Alesiani · Takashi Maruyama 🔗 |
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Scalable nonlinear manifold reduced order model for dynamical systems ( Poster ) > link | Ivan Zanardi · Alejandro N. Diaz · Seung Whan Chung · Marco Panesi · Youngsoo Choi 🔗 |
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ClariPhy: Physics-Informed Image Deblurring with Transformers for Hydrodynamic Instability Analysis ( Poster ) > link | Shai Stamler-Grossman · Nadav Schneider · Gershon Hanoch · Gal Oren 🔗 |
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Convolutional Vision Transformer for Cosmology Parameter Inference ( Poster ) > link | Yash Gondhalekar · Kana Moriwaki 🔗 |
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PINNfluence: Influence Functions for Physics-Informed Neural Networks ( Poster ) > link | Jonas Naujoks · Aleksander Krasowski · Moritz Weckbecker · Thomas Wiegand · Sebastian Lapuschkin · Wojciech Samek · René P. Klausen 🔗 |
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Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters ( Poster ) > link | Kacper Cybiński · James Enouen · Antoine Georges · Anna Dawid 🔗 |
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Interpreting Transformers for Jet Tagging ( Poster ) > link | Aaron Wang · Abhijith Gandrakota · Elham E Khoda · Vivekanand Gyanchand Sahu · Javier Duarte · Priyansh Bhatnagar · Jennifer Ngadiuba 🔗 |
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Deep Learning Based Superconductivity Prediction and Experimental Tests ( Poster ) > link | Daniel Kaplan · Adam Zheng · Joanna Blawat · Rongying Jin · Viktor Oudovenko · Gabriel Kotliar · Weiwei Xie · Anirvan Sengupta 🔗 |
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Emulation and Assessment of Gradient-Based Samplers in Cosmology ( Poster ) > link | Arrykrishna Mootoovaloo · David Alonso · Jaime Ruiz-Zapatero · Carlos Garcia-Garcia 🔗 |
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Unsupervised Physics-Informed Super-Resolution of Strong Lensing Images for Sparse Datasets ( Poster ) > link | Anirudh Shankar · Michael Toomey · Sergei Gleyzer 🔗 |
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A Poisson-process AutoDecoder for Astrophysical, Time-variable, X-ray Sources ( Poster ) > link | Yanke Song · V Villar · Rafael Martínez-Galarza 🔗 |
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Graph rewiring for long range-aware protein learning ( Poster ) > link | Ali Hariri · Pierre Vandergheynst 🔗 |
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Evolutionary and Transformer based methods for Symbolic Regression ( Poster ) > link | Samyak Jha · Sergei Gleyzer · Eric Reinhardt · Victor Baules · Francois Charton · Nobuchika Okada 🔗 |
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Open-Source Molecular Processing Pipeline for Generating Molecules ( Poster ) > link | Shreyas V · Jose Siguenza · Karan Bania · Bharath Ramsundar 🔗 |
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Hybrid Prior Wavelet Flow For Extragalactic Foreground Simulations ( Poster ) > link | Matiwos Mebratu · W.L. Wu 🔗 |
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Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions ( Poster ) > link | Soheun Yi · John Alison · Mikael Kuusela 🔗 |