Mon 5:00 a.m. - 5:15 a.m.
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Opening Remark
(
Opening Remark
)
>
SlidesLive Video
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🔗
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Mon 5:15 a.m. - 6:00 a.m.
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AI X Science
(
Invited Talks
)
>
SlidesLive Video
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Tie-Yan Liu
🔗
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Mon 6:00 a.m. - 6:45 a.m.
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AI X Mathematics
(
Invited Talks
)
>
SlidesLive Video
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Petar Veličković
🔗
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Mon 7:10 a.m. - 8:10 a.m.
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Live Panel
(
Discussion Panel
)
>
SlidesLive Video
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Max Welling · Bharath Ramsundar · Irina Rish · Karianne J Bergen · Pushmeet Kohli
🔗
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Mon 9:00 a.m. - 9:45 a.m.
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AI X Chemistry
(
Invited Talks
)
>
SlidesLive Video
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Connor Coley
🔗
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Mon 9:45 a.m. - 9:55 a.m.
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Discovering Dynamical Parameters by Interpreting Echo State Networks
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Poster
)
>
link
SlidesLive Video
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Peter Lu · Marin Soljacic
🔗
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Mon 10:00 a.m. - 10:45 a.m.
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AI X Molecule
(
Invited Talks
)
>
SlidesLive Video
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Jian Tang
🔗
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Mon 10:45 a.m. - 10:55 a.m.
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Scientific Argument with Supervised Learning
(
Poster
)
>
link
SlidesLive Video
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Jeffrey Lockhart · Abigail Jacobs
🔗
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Mon 11:00 a.m. - 11:45 a.m.
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AI X Cosmology
(
Invited Talks
)
>
SlidesLive Video
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Shirley Ho
🔗
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Mon 11:45 a.m. - 11:55 a.m.
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Apertures in Agriculture Seeking Attention
(
Poster
)
>
link
SlidesLive Video
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Sanchita Das · Ramya Srinivasan
🔗
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Mon 12:00 p.m. - 12:10 p.m.
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Uncovering motif interactions from convolutional-attention networks for genomics
(
Poster
)
>
link
SlidesLive Video
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Rohan Ghotra · Peter Koo
🔗
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Mon 12:10 p.m. - 12:55 p.m.
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AI X Discovery
(
Invited Talks
)
>
SlidesLive Video
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Yoshua Bengio
🔗
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Mon 1:00 p.m. - 1:45 p.m.
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AI X Neuroscience
(
Invited Talks
)
>
SlidesLive Video
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Tomaso Poggio
🔗
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Mon 1:45 p.m. - 1:55 p.m.
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Awards and Closing Remark
(
Closing Remark
)
>
SlidesLive Video
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🔗
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-
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Drug Re-positioning via Text Augmented Knowledge Graph Embeddings
(
Poster
)
>
link
SlidesLive Video
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Mian Zhong · Tiancheng Hu · Ying Jiao · Shehzaad Dhuliawala
🔗
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-
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Novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited and imbalanced data that models won’t hear
(
Poster
)
>
link
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Aviral Chharia
🔗
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-
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3D Pre-training improves GNNs for Molecular Property Prediction
(
Poster
)
>
link
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Hannes Stärk · Dominique Beaini · Gabriele Corso · Prudencio Tossou · Christian Dallago · Stephan Günnemann · Pietro Lió
🔗
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-
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GraphGT: Machine Learning Datasets for Graph Generation and Transformation
(
Poster
)
>
link
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Yuanqi Du · Shiyu Wang · Xiaojie Guo · Hengning Cao · Shujie Hu · Junji Jiang · Aishwarya Varala · Abhinav Angirekula · Liang Zhao
🔗
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-
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Neuroprospecting with DeepRL agents
(
Poster
)
>
link
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🔗
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-
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Physical Benchmarking for AI-generated Cosmic Web
(
Poster
)
>
link
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Xiaofeng Dong · Salman Habib · Sandeep Madireddy
🔗
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-
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Linear Transformations in Autoencoder Latent Space Predict Time Translations in Active Matter System
(
Poster
)
>
link
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Enrique Amaya · Shahriar Shadkhoo · Dominik Schildknecht · Matt Thomson
🔗
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-
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Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
(
Poster
)
>
link
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Aishwarya Sarkar · Chaoqun Lu · Ali Jannesari
🔗
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-
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Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning
(
Poster
)
>
link
SlidesLive Video
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Ziming Liu · Yuanqi Du · Yunyue Chen · Max Tegmark
🔗
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-
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Generative Neural Network Based Non-Convex Optimization Using Policy Gradients with an Application to Electromagnetic Design
(
Poster
)
>
link
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Sean Hooten
🔗
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-
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Single Reference Frequency Loss for Multi-frequency Wavefield Representation using Physics-Informed Neural Networks
(
Poster
)
>
link
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Xinquan Huang
🔗
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-
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Improving Hit-finding: Multilabel Neural Architecture with DEL
(
Poster
)
>
link
SlidesLive Video
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Kehang Han · Steven Kearnes · Jin Xu · Wen Torng
🔗
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-
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Distributed Deep Learning for Persistent Monitoring of agricultural Fields
(
Poster
)
>
link
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Yasaman Esfandiari · Koushik Nagasubramanian · Fateme Fotouhi · Patrick Schnable · Baskar Ganapathysubramanian · Soumik Sarkar
🔗
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-
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Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography
(
Poster
)
>
link
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Evan Anderson · Anuj Nayak · Pablo Robles-Granda · Lav Varshney · Been Kim · Aron K Barbey
🔗
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-
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Towards trustworthy explanations with gradient-based attribution methods
(
Poster
)
>
link
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Ethan Labelson · Rohit Tripathy · Peter Koo
🔗
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-
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AI as statistical methods for imperfect theories
(
Poster
)
>
link
SlidesLive Video
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Gael Varoquaux
🔗
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-
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From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses
(
Poster
)
>
link
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Aviral Chharia · Shivu Chauhan
🔗
|
-
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Identification of Enzymatic Active Sites with Unsupervised Language Modelling
(
Poster
)
>
link
SlidesLive Video
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Loïc Kwate Dassi · Matteo Manica · Daniel Probst · Philippe Schwaller · Yves Gaetan Nana Teukam · Teodoro Laino
🔗
|
-
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A Fresh Look at De Novo Molecular Design Benchmarks
(
Poster
)
>
link
|
Austin Tripp · Gregor Simm · José Miguel Hernández-Lobato
🔗
|
-
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Semi-supervised Graph Neural Network for Particle-level Noise Removal
(
Poster
)
>
link
SlidesLive Video
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Tianchun Li · Shikun Liu · Nhan Tran · Mia Liu · Pan Li
🔗
|
-
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Human-in-the-loop for a Disconnection Aware Retrosynthesis
(
Poster
)
>
link
SlidesLive Video
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Andrea Byekwaso · Philippe Schwaller · Alain C. Vaucher · Teodoro Laino
🔗
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-
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Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
(
Poster
)
>
link
SlidesLive Video
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Weihao Gao · Chong Wang
🔗
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-
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Learning to Simulate Unseen Physical Systems with Graph Neural Networks
(
Poster
)
>
link
|
Weihao Gao · Chong Wang
🔗
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-
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On the feasibility of small-data learning in simulation-driven engineering tasks with known mechanisms and effective data representations
(
Poster
)
>
link
SlidesLive Video
|
Haosu Zhou · Hamid Attar
🔗
|
-
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Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models
(
Poster
)
>
link
|
Shuxian Zou · Shaonan Wang · Jiajun Zhang
🔗
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-
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AI Methods for Designing Energy-Efficient Buildings in Urban Environments
(
Poster
)
>
link
SlidesLive Video
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· Hazem Hajj
🔗
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-
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Fragment-Based Sequential Translation for Molecular Optimization
(
Poster
)
>
link
|
Benson Chen · Xiang Fu · Regina Barzilay · Tommi Jaakkola
🔗
|
-
|
Traversing Geodesics to Grow Biological Structures
(
Poster
)
>
link
|
Pranav Bhamidipati · Guruprasad Raghavan · Matt Thomson
🔗
|
-
|
$\textit{Ab Initio}$ Discovery of Biological Knowledge from scRNA-Seq Data Using Machine Learning
(
Poster
)
>
link
|
Jiaqi Li · Fanhong Li · Sijie Chen
🔗
|
-
|
Improving the spectral resolution of fMRI signals through the temporal de-correlation approach
(
Poster
)
>
link
|
Bai Wenjun · Junichiro Yoshimoto
🔗
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-
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Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science
(
Poster
)
>
link
|
Harlin Lee · Jacob G Foster
🔗
|
-
|
Bayesian Optimal Experimental Design for Simulator Models of Cognition
(
Poster
)
>
link
|
Simon Valentin · Steven Kleinegesse · Neil Bramley · Michael Gutmann · Chris Lucas
🔗
|
-
|
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
(
Poster
)
>
link
|
Rahul Nadkarni · David Wadden · Iz Beltagy · Noah Smith · Hanna Hajishirzi · Tom Hope
🔗
|
-
|
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
(
Poster
)
>
link
|
Jason Portenoy · Jevin West · Eric Horvitz · Daniel Weld · Tom Hope
🔗
|
-
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Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process
(
Poster
)
>
link
|
Jiace Sun · Lixue Cheng · Thomas Miller
🔗
|
-
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Regression modeling on DNA encoded libraries
(
Poster
)
>
link
|
Ralph Ma · Gabriel Dreiman · Fiorella Ruggiu · Adam Riesselman · Bowen Liu · Mohammad M Sultan · Daphne Koller
🔗
|
-
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A Search Engine for Discovery of Scientific Challenges and Directions
(
Poster
)
>
link
|
Dan Lahav · Jon Saad-Falcon · Duen Horng Chau · Diyi Yang · Eric Horvitz · Daniel Weld · Tom Hope
🔗
|
-
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Bringing Atomistic Deep Learning to Prime Time
(
Poster
)
>
link
|
Nathan Frey · Siddharth Samsi · Bharath Ramsundar · Connor Coley
🔗
|
-
|
Scalable Geometric Deep Learning on Molecular Graphs
(
Poster
)
>
link
SlidesLive Video
|
Nathan Frey · Siddharth Samsi · Lin Li · Connor Coley
🔗
|
-
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Scalable Bayesian Optimization Accelerates Process Optimization of Penicillin Production
(
Poster
)
>
link
|
Qiaohao Liang
🔗
|
-
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This Earthquake Doesn't Exist
(
Poster
)
>
link
|
Artemii Novoselov · Krisztina Sinkovics
🔗
|
-
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Multi-task Learning with Domain Knowledge for Molecular Property Prediction
(
Poster
)
>
link
|
Shengchao Liu · Meng Qu · Zuobai Zhang · Jian Tang
🔗
|
-
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High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials Exploration
(
Poster
)
>
link
|
Masaki Adachi
🔗
|
-
|
Adaptive Pseudo-labeling for Quantum Calculations
(
Poster
)
>
link
|
Kexin Huang · Vishnu Sresht · Brajesh Rai
🔗
|
-
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Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
(
Poster
)
>
link
|
Meng Liu · Cong Fu · Xuan Zhang · Limei Wang · Yaochen Xie · Hao Yuan · Youzhi Luo · Zhao Xu · Shuiwang Ji
🔗
|
-
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Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
(
Poster
)
>
link
SlidesLive Video
|
Siddha Ganju · Sayak Paul
🔗
|
-
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Multi-modal Self-supervised Pre-training for Large-scale Genome Data
(
Poster
)
>
link
|
Shentong Mo · Xi Fu · Chenyang Hong · Yizhen Chen · Yuxuan Zheng · Xiangru Tang · Yanyan Lan · Zhiqiang Shen · Eric Xing
🔗
|
-
|
Multiple Sequential Learning Tasks Represented in Recurrent Neural Networks
(
Poster
)
>
link
|
Shaonan Wang
🔗
|