Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

467 Results

<<   <   Page 2 of 39   >   >>
Poster
Wed 16:30 A Canonicalization Perspective on Invariant and Equivariant Learning
George Ma · Yifei Wang · Derek Lim · Stefanie Jegelka · Yisen Wang
Workshop
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
Viet Nguyen · Nhat Ngo · Truong Son Hy
Poster
Thu 11:00 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Ya-Wei Eileen Lin · Ronen Talmon · Ron Levie
Workshop
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
Gian Marco Visani · Michael Pun · William Galvin · Eric Daniel · Kevin Borisiak · Utheri Wagura · Armita Nourmohammad
Poster
Fri 11:00 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron
Workshop
Sat 9:21 Deconstructing equivariant representations in molecular systems
Kin Long Kelvin Lee · Michael Galkin · Santiago Miret
Workshop
Dimension Deficit: Is 3D a Step Too Far for Optimizing Molecules?
Andres Guzman-Cordero · Luca Thiede · Gary Tom · Alan Aspuru-Guzik · Felix Strieth-Kalthoff · Agustinus Kristiadi
Workshop
Deconstructing equivariant representations in molecular systems
Kin Long Kelvin Lee · Michael Galkin · Santiago Miret
Affinity Event
Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
Session
Fri 10:00 Overflow for Oral Session 5B: Graph Neural Networks, Causal Inference
Poster
Thu 11:00 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen · Rohan Shah · Hritik Bansal · Troy Arcomano · Romit Maulik · Rao Kotamarthi · Ian Foster · Sandeep Madireddy · Aditya Grover
Poster
Thu 16:30 FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
Mengting Xu · De Ma · Huajin Tang · Qian Zheng · Gang Pan