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Poster
Wed 15:00 Learning Layer-wise Equivariances Automatically using Gradients
Tycho van der Ouderaa · Alexander Immer · Mark van der Wilk
Poster
Thu 8:45 Clifford Group Equivariant Neural Networks
David Ruhe · Johannes Brandstetter · Patrick Forré
Poster
Tue 15:15 LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Jiaqi Guan · Xingang Peng · PeiQi Jiang · Yunan Luo · Jian Peng · Jianzhu Ma
Poster
Thu 8:45 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim · Dat Nguyen · Ayhan Suleymanzade · Hyeokjun An · Seunghoon Hong
Poster
Thu 8:45 Equivariant Adaptation of Large Pretrained Models
Arnab Kumar Mondal · Siba Smarak Panigrahi · Oumar Kaba · Sai Rajeswar Mudumba · Siamak Ravanbakhsh
Poster
Wed 15:00 Equivariant Single View Pose Prediction Via Induced and Restriction Representations
Owen Howell · David Klee · Ondrej Biza · Linfeng Zhao · Robin Walters
Poster
Wed 8:45 Equivariant Neural Operator Learning with Graphon Convolution
Chaoran Cheng · Jian Peng
Poster
Wed 8:45 Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Mircea Petrache · Shubhendu Trivedi
Poster
Wed 15:00 Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim · Joshua Robinson · Stefanie Jegelka · Haggai Maron
Oral
Thu 8:15 Clifford Group Equivariant Neural Networks
David Ruhe · Johannes Brandstetter · Patrick Forré
Workshop
Fri 14:40 EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
Vaibhav Bihani · UTKARSH PRATIUSH · Sajid Mannan · Tao Du · Zhimin Chen · Santiago Miret · Matthieu Micoulaut · Morten Smedskjaer · Sayan Ranu · N M Anoop Krishnan
Workshop
Inverse-design of organometallic catalysts with guided equivariant diffusion
François Cornet · Bardi Benediktsson · Bjarke Hastrup · Arghya Bhowmik · Mikkel Schmidt