Mon 6:00 a.m. - 6:10 a.m.
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Session 1 | Opening remarks
(
Live intro
)
>
SlidesLive Video
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🔗
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Mon 6:10 a.m. - 6:35 a.m.
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Session 1 | Invited talk: Max Welling, "Accelerating simulations of nature, both classical and quantum, with equivariant deep learning"
(
Invited talk (live)
)
>
SlidesLive Video
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Max Welling · Atilim Gunes Baydin
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Mon 6:35 a.m. - 6:45 a.m.
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Session 1 | Invited talk Q&A: Max Welling
(
Live Q&A
)
>
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🔗
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Mon 6:45 a.m. - 7:10 a.m.
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Session 1 | Invited talk: Bingqing Cheng, "Predicting material properties with the help of machine learning"
(
Invited talk (live)
)
>
SlidesLive Video
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Bingqing Cheng · Atilim Gunes Baydin
🔗
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Mon 7:10 a.m. - 7:20 a.m.
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Session 1 | Invited talk Q&A: Bingqing Cheng
(
Live Q&A
)
>
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🔗
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Mon 7:20 a.m. - 7:35 a.m.
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Session 1 | Contributed talk: Tian Xie, "Crystal Diffusion Variational Autoencoder for Periodic Material Generation"
(
Contributed talk (live)
)
>
SlidesLive Video
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Tian Xie · Atilim Gunes Baydin
🔗
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Mon 7:35 a.m. - 9:05 a.m.
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Session 1 | Poster session
(
Poster session (Gather.town)
)
>
link
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🔗
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Mon 9:05 a.m. - 9:10 a.m.
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Session 2 | Opening remarks
(
Live intro
)
>
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🔗
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Mon 9:10 a.m. - 10:10 a.m.
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Session 2 | Panel discussion: Jennifer Chayes, Marylou Gabrié, Michela Paganini, Sara Solla, Moderator: Lenka Zdeborová
(
Live panel discussion
)
>
SlidesLive Video
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🔗
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Mon 10:10 a.m. - 10:35 a.m.
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Session 2 | Invited talk: Megan Ansdell, "NASA's efforts & opportunities to support ML in the Physical Sciences"
(
Invited talk (live)
)
>
SlidesLive Video
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Megan Ansdell · Atilim Gunes Baydin
🔗
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Mon 10:35 a.m. - 10:45 a.m.
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Session 2 | Invited talk Q&A: Megan Ansdell
(
Live Q&A
)
>
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🔗
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Mon 10:45 a.m. - 11:00 a.m.
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Session 2 | Contributed talk: George Stein, "Self-supervised similarity search for large scientific datasets"
(
Contributed talk (live)
)
>
SlidesLive Video
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George Stein · Atilim Gunes Baydin
🔗
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Mon 11:00 a.m. - 12:30 p.m.
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Session 2 | Poster session
(
Poster session (Gather.town)
)
>
link
|
🔗
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Mon 12:30 p.m. - 12:35 p.m.
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Session 3 | Opening remarks
(
Live intro
)
>
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🔗
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Mon 12:35 p.m. - 1:00 p.m.
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Session 3 | Invited talk: Surya Ganguli, "From the geometry of high dimensional energy landscapes to optimal annealing in a dissipative many body quantum optimizer"
(
Invited talk (live)
)
>
SlidesLive Video
|
Surya Ganguli · Atilim Gunes Baydin
🔗
|
Mon 1:00 p.m. - 1:10 p.m.
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Session 3 | Invited talk Q&A: Surya Ganguli
(
Live Q&A
)
>
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🔗
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Mon 1:10 p.m. - 1:35 p.m.
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Session 3 | Invited talk: Laure Zanna, "The future of climate modeling in the age of machine learning"
(
Invited talk (live)
)
>
SlidesLive Video
|
Laure Zanna · Atilim Gunes Baydin
🔗
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Mon 1:35 p.m. - 1:45 p.m.
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Session 3 | Invited talk Q&A: Laure Zanna
(
Live Q&A
)
>
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🔗
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Mon 1:45 p.m. - 2:00 p.m.
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Session 3 | Contributed talk: Maximilian Dax, "Amortized Bayesian inference of gravitational waves with normalizing flows"
(
Contributed talk (live)
)
>
SlidesLive Video
|
Maximilian Dax · Atilim Gunes Baydin
🔗
|
Mon 2:00 p.m. - 3:00 p.m.
|
Session 3 | Community development breakouts
(
Community breakout session (Gather.town)
)
>
link
|
🔗
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Mon 3:00 p.m. - 3:30 p.m.
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Session 3 | Feedback from community development breakouts and closing remarks
(
Live feedback
)
>
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🔗
|
-
|
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
(
Poster
)
>
SlidesLive Video
|
Siddha Ganju · Sayak Paul
🔗
|
-
|
A General Method for Calibrating Stochastic Radio Channel Models with Kernels
(
Poster
)
>
SlidesLive Video
|
Ayush Bharti · Francois-Xavier Briol
🔗
|
-
|
A Multi-Survey Dataset and Benchmark for First Break Picking in Hard Rock Seismic Exploration
(
Poster
)
>
SlidesLive Video
|
Pierre-Luc St-Charles · Joumana Ghosn
🔗
|
-
|
Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts in astronomical images
(
Poster
)
>
|
Dimitrios Tanoglidis · Aleksandra Ciprijanovic
🔗
|
-
|
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
(
Poster
)
>
|
Katiana Kontolati · Nishant Panda · Diane Oyen
🔗
|
-
|
Robustness of deep learning algorithms in astronomy - galaxy morphology studies
(
Poster
)
>
|
Aleksandra Ciprijanovic · Diana Kafkes · Gabriel Nathan Perdue · Sandeep Madireddy · Stefan Wild · Brian Nord
🔗
|
-
|
Uncertainty quantification for ptychography using normalizing flows
(
Poster
)
>
SlidesLive Video
|
Agnimitra Dasgupta
🔗
|
-
|
Model Inversion for Spatio-temporal Processes using the Fourier Neural Operator
(
Poster
)
>
SlidesLive Video
|
Daniel MacKinlay · Daniel Pagendam · Petra Kuhnert
🔗
|
-
|
Mixture-of-Experts Ensemble with Hierarchical Deep Metric Learning for Spectroscopic Identification
(
Poster
)
>
|
Masaki Adachi
🔗
|
-
|
Amortized Variational Inference for Type Ia Supernova Light Curves
(
Poster
)
>
SlidesLive Video
|
Alexis Sánchez · Pablo And Huijse · Francisco Förster · Guillermo Cabrera-Vives
🔗
|
-
|
Scalable Bayesian Optimization Accelerates Process Optimization of Penicillin Production
(
Poster
)
>
|
Qiaohao Liang
🔗
|
-
|
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body Problem
(
Poster
)
>
SlidesLive Video
|
Maxwell Xu Cai · Simon Portegies Zwart · Damian Podareanu
🔗
|
-
|
Using neural networks to reduce communication in numerical solution of partial differential equations
(
Poster
)
>
|
Laurent White · Ganesh Dasika
🔗
|
-
|
Modeling Advection on Directed Graphs using Mat\'{e}rn Gaussian Processes for Traffic Flow
(
Poster
)
>
SlidesLive Video
|
Nadim Saad · Danielle Maddix · Bernie Wang
🔗
|
-
|
Unsupervised Spectral Unmixing for Telluric Correction using a Neural Network Autoencoder
(
Poster
)
>
SlidesLive Video
|
Rune Kjærsgaard · Line Clemmensen
🔗
|
-
|
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
(
Poster
)
>
SlidesLive Video
|
Chulin Wang · Kyongmin Yeo · Andres Codas · Xiao Jin · Bruce Elmegreen ·
🔗
|
-
|
Automatically detecting anomalous exoplanet transits
(
Poster
)
>
SlidesLive Video
|
Christoph Hönes · Benjamin K Miller
🔗
|
-
|
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification
(
Poster
)
>
SlidesLive Video
|
Robert Morgan · Brian Nord
🔗
|
-
|
Using physics-informed regularization to improve extrapolation capabilities of neural networks
(
Poster
)
>
|
Ganesh Dasika · Laurent White
🔗
|
-
|
Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images
(
Poster
)
>
|
Jose Delgado-Centeno · Paula Harder · Ben Moseley · Valentin Bickel · Siddha Ganju · Miguel Olivares · Freddie Kalaitzis
🔗
|
-
|
Deep learning techniques for a real-time neutrino classifier
(
Poster
)
>
SlidesLive Video
|
Astrid Anker
🔗
|
-
|
Deep learning reconstruction of the neutrino energy with a shallow Askaryan detector
(
Poster
)
>
SlidesLive Video
|
Stephen McAleer · Christian Glaser · Pierre Baldi
🔗
|
-
|
Inferring dark matter substructure with global astrometry beyond the power spectrum
(
Poster
)
>
|
Siddharth Mishra-Sharma
🔗
|
-
|
Stochastic Adversarial Koopman Model for Dynamical Systems
(
Poster
)
>
SlidesLive Video
|
Kaushik Balakrishnan · devesh upadhyay
🔗
|
-
|
Discovering PDEs from Multiple Experiments
(
Poster
)
>
SlidesLive Video
|
Georges Tod · Gert-Jan Both · Remy Kusters
🔗
|
-
|
Nonlinear pile-up separation with LSTM neural networks for cryogenic particle detectors
(
Poster
)
>
|
Felix Wagner
🔗
|
-
|
Machine learning accelerated particle-in-cell plasma simulations
(
Poster
)
>
|
Ralph Kube · Randy Churchill
🔗
|
-
|
Calibrating Electrons and Photons in the CMS ECAL using Graph Neural Networks
(
Poster
)
>
|
Simon Rothman
🔗
|
-
|
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression
(
Poster
)
>
SlidesLive Video
|
Biprateep Dey · Ann Lee · Rafael Izbicki · David Zhao
🔗
|
-
|
Towards Improved Global River Discharge Prediction in Ungauged Basins Using Machine Learning and Satellite Observations
(
Poster
)
>
|
Aggrey Muhebwa · Jay Taneja
🔗
|
-
|
Visualization of nonlinear modal structures for three-dimensional unsteady fluid flows with customized decoder design
(
Poster
)
>
SlidesLive Video
|
Kazuto Hasegawa · Kai Fukami · Koji Fukagata
🔗
|
-
|
Sharpness-Aware Minimization for Robust Molecular Dynamics Simulations
(
Poster
)
>
SlidesLive Video
|
Hikaru Ibayashi · Ken-ichi Nomura · Pankaj Rajak · Aravind Krishnamoorthy · Aiichiro Nakano
🔗
|
-
|
A posteriori learning for quasi-geostrophic turbulence parametrization
(
Poster
)
>
|
Hugo Frezat · ronan fablet · Redouane Lguensat
🔗
|
-
|
Vision transformers and techniques for improving solar wind speed forecasts using solar EUV images
(
Poster
)
>
SlidesLive Video
|
Filip Svoboda · Edward Brown
🔗
|
-
|
Deep-DFT: Physics-ML hybrid method to predict DFT energy using Transformer
(
Poster
)
>
SlidesLive Video
|
Youngwoo Cho · Seunghoon Yi · Jaegul Choo · Joonseok Lee · Sookyung Kim
🔗
|
-
|
Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models
(
Poster
)
>
SlidesLive Video
|
Onur Kara · Arijit Sehanobish · HECTOR CORZO
🔗
|
-
|
Physics-informed neural network for inversely predicting effective electric permittivities of metamaterials
(
Poster
)
>
|
Parama Pal · Prajith P
🔗
|
-
|
Learning Size and Shape of Calabi-Yau Spaces
(
Poster
)
>
SlidesLive Video
|
Robin Schneider
🔗
|
-
|
Learning Full Configuration Interaction Electron Correlations with Deep Learning
(
Poster
)
>
SlidesLive Video
|
HECTOR CORZO · Arijit Sehanobish · Onur Kara
🔗
|
-
|
A deep ensemble approach to X-ray polarimetry
(
Poster
)
>
SlidesLive Video
|
Abel Peirson
🔗
|
-
|
Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction
(
Poster
)
>
|
Théophile Gaudin · Animesh Garg · Alan Aspuru-Guzik
🔗
|
-
|
Classical variational simulation of the Quantum Approximate Optimization Algorithm
(
Poster
)
>
|
Matija Medvidović · Giuseppe Carleo
🔗
|
-
|
Deep Surrogate for Direct Time Fluid Dynamics
(
Poster
)
>
|
Lucas Meyer · Bruno Raffin
🔗
|
-
|
Normalizing Flows for Random Fields in Cosmology
(
Poster
)
>
|
Adam Rouhiainen
🔗
|
-
|
Machine Learning and Dynamical Models for Sub-seasonal Climate Forecasting
(
Poster
)
>
|
Sijie He · Xinyan Li · Laurie Trenary · Benjamin Cash · Timothy DelSole · Arindam Banerjee
🔗
|
-
|
Multiway Ensemble Kalman Filter
(
Poster
)
>
SlidesLive Video
|
Yu Wang · Alfred Hero
🔗
|
-
|
Neural quantum states for supersymmetric quantum gauge theories
(
Poster
)
>
|
Enrico Rinaldi
🔗
|
-
|
A Quasi-Universal Neural Network to Model Structure Formation in the Universe
(
Poster
)
>
|
Neerav Kaushal · Elena Giusarma · Mauricio Reyes Hurtado
🔗
|
-
|
Learning governing equations of interacting particle systems using Gaussian process regression
(
Poster
)
>
SlidesLive Video
|
Sui Tang
🔗
|
-
|
Marrying the benefits of Automatic and Numerical Differentiation in Physics-Informed Neural Network
(
Poster
)
>
|
Pao-Hsiung Chiu · Chin Chun Ooi · Yew Soon Ong
🔗
|
-
|
G-SpaNet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention
(
Poster
)
>
|
Alexander Shmakov · Shih-chieh Hsu · Pierre Baldi
🔗
|
-
|
Critical parametric quantum sensing with machine learning
(
Poster
)
>
|
Enrico Rinaldi
🔗
|
-
|
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
(
Poster
)
>
SlidesLive Video
|
Pim de Haan · Roberto Bondesan
🔗
|
-
|
Equivariant Transformers for Neural Network based Molecular Potentials
(
Poster
)
>
|
Philipp Thölke · Gianni De Fabritiis
🔗
|
-
|
Fast Approximate Model for the 3D Matter Power Spectrum
(
Poster
)
>
|
Arrykrishna Mootoovaloo
🔗
|
-
|
3D Pre-training improves GNNs for Molecular Property Prediction
(
Poster
)
>
SlidesLive Video
|
Hannes Stärk · Gabriele Corso · Christian Dallago · Stephan Günnemann · Pietro Lió
🔗
|
-
|
Learning the exchange-correlation functional from nature with differentiable density functional theory
(
Poster
)
>
|
Muhammad Firmansyah Kasim · Sam Vinko
🔗
|
-
|
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
(
Poster
)
>
SlidesLive Video
|
Rao Muhammad Umer · CHRISTIAN MICHELONI
🔗
|
-
|
Classifying Anomalies THrough Outer Density Estimation (CATHODE)
(
Poster
)
>
SlidesLive Video
|
Joshua Isaacson · Gregor Kasieczka · Benjamin Nachman · David Shih · Manuel Sommerhalder
🔗
|
-
|
Unsupervised topological learning approach of crystal nucleation in pure Tantalum
(
Poster
)
>
|
Emilie Devijver · Rémi Molinier
🔗
|
-
|
DeepBO: Deep Neural-Network Bayesian Optimization of Polaritonic Metasurfaces in Continuous Space
(
Poster
)
>
SlidesLive Video
|
Zihan Zhang · Kehang Cui · Jintao Chen
🔗
|
-
|
A data-driven wall model for the prediction of turbulent flow separation over periodic hills
(
Poster
)
>
|
Margaux Boxho
🔗
|
-
|
Extending turbulence model uncertainty quantification using machine learning
(
Poster
)
>
SlidesLive Video
|
Marcel Matha
🔗
|
-
|
Missing Data Imputation for Galaxy Redshift Estimation
(
Poster
)
>
SlidesLive Video
|
Kieran Luken
🔗
|
-
|
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
(
Poster
)
>
|
François Rozet · Gilles Louppe
🔗
|
-
|
Amortized Bayesian inference of gravitational waves with normalizing flows
(
Poster
)
>
|
Maximilian Dax · Stephen Green · Jakob Macke · Bernhard Schölkopf
🔗
|
-
|
Weight Pruning and Uncertainty in Radio Galaxy Classification
(
Poster
)
>
SlidesLive Video
|
Anna Scaife
🔗
|
-
|
Automatic differentiation approach for reconstructing spectral functions with neural networks
(
Poster
)
>
SlidesLive Video
|
Lingxiao Wang · Kai Zhou
🔗
|
-
|
Characterizing γ-ray maps of the Galactic Center with neural density estimation
(
Poster
)
>
|
Siddharth Mishra-Sharma · Kyle Cranmer
🔗
|
-
|
Bayesian Stokes inversion with Normalizing flows
(
Poster
)
>
SlidesLive Video
|
Carlos Díaz Baso
🔗
|
-
|
Generative models for hadron shower simulation
(
Poster
)
>
SlidesLive Video
|
Sascha Diefenbacher · Erik Buhmann · Engin Eren · Frank Gaede · Daniel C. Hundhausen · Gregor Kasieczka · William Korcari · Katja Krueger · Peter McKeown · Lennart Rustige
🔗
|
-
|
Detecting Spatiotemporal Lightning Patterns: An Unsupervised Graph-Based Approach
(
Poster
)
>
|
Emma Benjaminson · Juan Emmanuel Johnson · Milad Memarzadeh · Nadia Ahmed
🔗
|
-
|
Uncertainty Aware Learning for High Energy Physics With A Cautionary Tale
(
Poster
)
>
|
Aishik Ghosh · Benjamin Nachman
🔗
|
-
|
Error Analysis of Kilonova Surrogate Models
(
Poster
)
>
|
Kamile Lukosiute · Brian Nord
🔗
|
-
|
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
(
Poster
)
>
|
Inigo V Slijepcevic · Anna Scaife
🔗
|
-
|
A simple equivariant machine learning method for dynamics based on scalars
(
Poster
)
>
SlidesLive Video
|
Weichi Yao · Kate Storey-Fisher · David W Hogg · Soledad Villar
🔗
|
-
|
Physics-enhanced Neural Networks in the Small Data Regime
(
Poster
)
>
SlidesLive Video
|
Sebastian Kaltenbach · Phaedon S Koutsourelakis
🔗
|
-
|
Approximate Latent Force Model Inference
(
Poster
)
>
|
Jacob Moss · Felix Opolka · Pietro Lió
🔗
|
-
|
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model
(
Poster
)
>
|
Tobias Liaudat · Jean-Luc Starck
🔗
|
-
|
Inorganic Synthesis Reaction Condition Prediction with Generative Machine Learning
(
Poster
)
>
|
Christopher Karpovich
🔗
|
-
|
Quantum Machine Learning for Radio Astronomy
(
Poster
)
>
SlidesLive Video
|
Mohammad Kordzanganeh · Anna Scaife
🔗
|
-
|
Proximal Biasing for Bayesian Optimization and Characterization of Physical Systems
(
Poster
)
>
SlidesLive Video
|
Ryan Roussel · Auralee Edelen
🔗
|
-
|
Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging
(
Poster
)
>
|
Edward Brown · Christopher Bridges · Bernard Benson · Atilim Gunes Baydin
🔗
|
-
|
Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators
(
Poster
)
>
|
Peishi Jiang · Constantin Weisser · Björn Lütjens · Dava Newman
🔗
|
-
|
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows
(
Poster
)
>
SlidesLive Video
|
Sam Lewin
🔗
|
-
|
Robust and Provably Monotonic Networks
(
Poster
)
>
|
Niklas S Nolte · Ouail Kitouni · Mike Williams
🔗
|
-
|
Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks
(
Poster
)
>
|
Stefano Berrone · Francesco Della Santa · Antonio Mastropietro · Sandra Pieraccini · Francesco Vaccarino
🔗
|
-
|
Stronger symbolic summary statistics for the LHC
(
Poster
)
>
|
Nathalie Soybelman · Anja Butter · Tilman Plehn · Johann Brehmer
🔗
|
-
|
Photometric Redshifts for Cosmology: Improving Accuracy and Uncertainty Estimates Using Bayesian Neural Networks
(
Poster
)
>
SlidesLive Video
|
Evan Jones
🔗
|
-
|
Symmetries and self-supervision in particle physics
(
Poster
)
>
SlidesLive Video
|
Barry M Dillon · Tilman Plehn · Gregor Kasieczka
🔗
|
-
|
Cooperative multi-agent reinforcement learning outperforms decentralized execution in high-dimensional nonequilibrium control for steady-state design
(
Poster
)
>
SlidesLive Video
|
Shriram Chennakesavalu · Grant Rotskoff
🔗
|
-
|
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
(
Poster
)
>
|
Mohamed Hibat Allah · Juan Carrasquilla · Roger Melko
🔗
|
-
|
An Imperfect machine to search for New Physics: systematic uncertainties in a machine-learning based signal extraction
(
Poster
)
>
|
Gaia Grosso · Maurizio Pierini
🔗
|
-
|
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization
(
Poster
)
>
SlidesLive Video
|
Wesley Maddox · Qing Feng · Maximilian Balandat
🔗
|
-
|
Simulation-Based Inference of Strong Gravitational Lensing Parameters
(
Poster
)
>
|
Ronan Legin
🔗
|
-
|
Out of equilibrium learning dynamics in physical allosteric resistor networks
(
Poster
)
>
|
Menachem Stern · Andrea Liu
🔗
|
-
|
A New sPHENIX Heavy Quark Trigger Algorithm Based on Graph Neutral Networks
(
Poster
)
>
SlidesLive Video
|
Yimin Zhu · Tingting Xuan
🔗
|
-
|
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
(
Poster
)
>
SlidesLive Video
|
Steven Tsan · Sukanya Krishna · Raghav Kansal · Anthony Aportela · Farouk Mokhtar · Daniel Diaz · Javier Duarte · Maurizio Pierini · jean-roch vlimant
🔗
|
-
|
Rethinking Neural Networks with Benford's Law
(
Poster
)
>
SlidesLive Video
|
Surya Kant Sahu · Abhinav Java · Arshad Shaikh
🔗
|
-
|
A Convolutional Autoencoder-Based Pipeline For Anomaly Detection And Classification Of Periodic Variables
(
Poster
)
>
SlidesLive Video
|
Ho-Sang Chan · Siu Hei Cheung · Shirley Ho
🔗
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Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending
(
Poster
)
>
SlidesLive Video
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Ryan Hausen
🔗
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Electromagnetic Counterpart Identification of Gravitational-wave candidates using deep-learning
(
Poster
)
>
SlidesLive Video
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Deep Chatterjee
🔗
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Cross-Modal Virtual Sensing for Combustion Instability Monitoring
(
Poster
)
>
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Tryambak Gangopadhyay · Vikram Ramanan · Chakravarthy S.R. · Soumik Sarkar
🔗
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PlasmaNet: a framework to study and solve elliptic differential equations using neural networks in plasma fluid simulations
(
Poster
)
>
SlidesLive Video
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Lionel Cheng · Michaël Bauerheim
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Equivariant and Modular DeepSets with Applications in Cluster Cosmology
(
Poster
)
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Leander Thiele · Miles Cranmer · Shirley Ho · David Spergel
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A debiasing framework for deep learning applied to the morphological classification of galaxies
(
Poster
)
>
SlidesLive Video
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Esteban Medina · Guillermo Cabrera-Vives
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The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects
(
Poster
)
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Sebastian Macaluso · Kyle Cranmer
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Variational framework for partially-measured physical system control
(
Poster
)
>
SlidesLive Video
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Babak Rahmani · Demetri Psaltis
🔗
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An ML Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
(
Poster
)
>
SlidesLive Video
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Aritra Ghosh
🔗
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Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs
(
Poster
)
>
SlidesLive Video
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Harshini Mangipudi · Griffin Mooers · Mike Pritchard · Tom Beucler · Stephan Mandt
🔗
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Detecting Low Surface Brightness Galaxies with Mask R-CNN
(
Poster
)
>
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Caleb Levy
🔗
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Online Bayesian Optimization for Beam Alignment in the SECAR Recoil Mass Separator
(
Poster
)
>
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Sara Miskovich
🔗
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Implicit Quantile Neural Networks for Jet Simulation and Correction
(
Poster
)
>
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Michelle Kuchera · Raghuram Ramanujan
🔗
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Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data
(
Poster
)
>
SlidesLive Video
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Daniel Muthukrishna
🔗
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Neural network is heterogeneous: Phase matters more
(
Poster
)
>
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Yuqi Nie
🔗
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Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles
(
Poster
)
>
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Bernard Benson · Christopher Bridges · Atilim Gunes Baydin
🔗
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Symmetry Discovery with Deep Learning
(
Poster
)
>
SlidesLive Video
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Krish Desai · Benjamin Nachman · Jesse Thaler
🔗
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-
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Approximate Bayesian Computation for Physical Inverse Modeling
(
Poster
)
>
|
Neel Chatterjee · Somya Sharma · Ansu Chatterjee
🔗
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Noether Networks: Meta-Learning Useful Conserved Quantities
(
Poster
)
>
SlidesLive Video
|
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn
🔗
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Explaining machine-learned particle-flow reconstruction
(
Poster
)
>
SlidesLive Video
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Farouk Mokhtar · Raghav Kansal · Daniel Diaz · Javier Duarte · Maurizio Pierini · jean-roch vlimant
🔗
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Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
(
Poster
)
>
SlidesLive Video
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Benjamin Wu · Oliver Hennigh · Jan Kautz · Sanjay Choudhry · Wonmin Byeon
🔗
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A Granular Method for Finding Anomalous Light Curves and their Analogs
(
Poster
)
>
|
Kushal Tirumala
🔗
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-
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Galaxy Morphological Classification with Efficient Vision Transformer
(
Poster
)
>
SlidesLive Video
|
Joshua Yao-Yu Lin
🔗
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-
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End-To-End Online sPHENIX Trigger Detection Pipeline
(
Poster
)
>
SlidesLive Video
|
Tingting Xuan · Yimin Zhu
🔗
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-
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Accelerator Tuning with Deep Reinforcement Learning
(
Poster
)
>
SlidesLive Video
|
Yuchen Wang
🔗
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-
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Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion
(
Poster
)
>
SlidesLive Video
|
Ankita Shukla · Rushil Anirudh · Eugene Kur · Jayaraman Thiagarajan · Timo Bremer · Brian K Spears · Tammy Ma · Pavan Turaga
🔗
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Neural Tensor Contractions and the Expressive Power of Deep Neural Quantum States
(
Poster
)
>
SlidesLive Video
|
Or Sharir · Amnon Shashua · Giuseppe Carleo
🔗
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Fast synthesis and inversion of spectral lines in stellar chromospheres with graph networks
(
Poster
)
>
SlidesLive Video
|
Andres Vicente Arevalo
🔗
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-
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Embedding temporal error propagation on CNN for unsteady flow simulations
(
Poster
)
>
SlidesLive Video
|
Ekhi Ajuria Illarramendi · Michaël Bauerheim
🔗
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-
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Phenomenological classification of the Zwicky Transient Facility astronomical event alerts
(
Poster
)
>
|
Dmitry Duev
🔗
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-
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An Emulation Framework for Fire Front Spread
(
Poster
)
>
SlidesLive Video
|
Andrew Bolt · Petra Kuhnert · Joel Dabrowski
🔗
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-
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Score-based Graph Generative Model for Neutrino Events Classification and Reconstruction
(
Poster
)
>
|
Yiming Sun · Zixing Song · Irwin King
🔗
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-
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E(2) Equivariant Self-Attention for Radio Astronomy
(
Poster
)
>
SlidesLive Video
|
Micah Bowles
🔗
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-
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Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks
(
Poster
)
>
|
Dian Wu
🔗
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-
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Using Deep Learning for estimation of river surface elevation from photogrammetric Digital Surface Models
(
Poster
)
>
SlidesLive Video
|
Marcin Pietroń
🔗
|
-
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Crystal graph convolutional neural networks for per-site property prediction
(
Poster
)
>
|
Jessica Karaguesian · Jaclyn Lunger · Rafael Gomez-Bombarelli
🔗
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-
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Differentiable Strong Lensing for Complex Lens Modelling
(
Poster
)
>
SlidesLive Video
|
Luca Biggio
🔗
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-
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Probing the Structure of String Theory Vacua with Genetic Algorithms and Reinforcement Learning
(
Poster
)
>
SlidesLive Video
|
Andreas Schachner · Sven Krippendorf · Alex Cole · Gary Shiu
🔗
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-
|
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
(
Poster
)
>
SlidesLive Video
|
Sudeshna Boro Saikia · Hala Lamdouar · Sairam Sundaresan · Anna Jungbluth · Marcella Scoczynski Ribeiro Martins · Anthony Sarah · Andres Munoz-Jaramillo
🔗
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-
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Factorized Fourier Neural Operators
(
Poster
)
>
SlidesLive Video
|
Alasdair Tran · Alexander Mathews · Lexing Xie · Cheng Soon Ong
🔗
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-
|
Equivariant graph neural networks as surrogate for computational fluid dynamics in 3D artery models
(
Poster
)
>
SlidesLive Video
|
Julian Suk · Phillip Lippe · Christoph Brune · Jelmer Wolterink
🔗
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-
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Probabilistic segmentation of overlapping galaxies for large cosmological surveys.
(
Poster
)
>
SlidesLive Video
|
Hubert Bretonniere · Marc Huertas-Company
🔗
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-
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Turbo-Sim: a generalised generative model with a physical latent space
(
Poster
)
>
|
Guillaume Quétant · Vitaliy Kinakh · Tobias Golling · Slava Voloshynovskiy
🔗
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-
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Deterministic particle flows for constraining SDEs
(
Poster
)
>
|
Dimitra Maoutsa · Manfred Opper
🔗
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-
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Graph Segmentation in Scientific Datasets
(
Poster
)
>
|
Rajat Sahay · Savannah Thais
🔗
|
-
|
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation
(
Poster
)
>
|
Abhishek Abhishek
🔗
|
-
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Efficient kernel methods for model-independent new physics searches
(
Poster
)
>
|
Marco Letizia · Lorenzo Rosasco · Marco Rando
🔗
|
-
|
Analysis of ODE2VAE with Examples
(
Poster
)
>
|
Batuhan Koyuncu
🔗
|
-
|
Rethinking Graph Transformers with Spectral Attention
(
Poster
)
>
|
Devin Kreuzer · Will Hamilton · Vincent Létourneau
🔗
|
-
|
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
(
Poster
)
>
|
Tian Xie · Xiang Fu · Octavian Ganea · Regina Barzilay · Tommi Jaakkola
🔗
|
-
|
Self-supervised similarity search for large scientific datasets
(
Poster
)
>
|
George Stein
🔗
|