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Poster
Wed 8:45 Truly Scale-Equivariant Deep Nets with Fourier Layers
Md Ashiqur Rahman · Raymond A. Yeh
Workshop
Fri 9:20 Reflection-Equivariant Diffusion for 3D Structure Determination from Isotopologue Rotational Spectra in Natural Abundance
Austin Cheng · Alston Lo · Santiago Miret · Brooks Pate · Alan Aspuru-Guzik
Workshop
Sat 11:50 Rotation-equivariant predictive modeling reveals the functional organization of primary visual cortex
Alexander Ecker
Poster
Wed 8:45 Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau · Emmanuel Moebel · Charles Kervrann
Poster
Thu 8:45 A General Framework for Robust G-Invariance in G-Equivariant Networks
Sophia Sanborn · Sophia Sanborn · Nina Miolane
Workshop
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jianfei Gao · Yangze Zhou · Jincheng Zhou · Bruno Ribeiro
Workshop
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
Pim de Haan · Taco Cohen · Johann Brehmer
Workshop
Towards Information Theory-Based Discovery of Equivariances
Hippolyte Charvin · Nicola Catenacci Volpi · Daniel Polani
Workshop
Inverse-design of organometallic catalysts with guided equivariant diffusion
François Cornet · Bardi Benediktsson · Bjarke Hastrup · Arghya Bhowmik · Mikkel Schmidt
Workshop
DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model
Wei Lu · Jixian Zhang · Huang Weifeng · Ziqiao Zhang · Chengtao Li · Shuangjia Zheng
Workshop
VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak · Lisa Schneckenreiter · Sepp Hochreiter · Andreas Mayr · Günter Klambauer
Workshop
Visual Scene Representation with Hierarchical Equivariant Sparse Coding
Christian A Shewmake · Domas Buracas · Hansen Lillemark · Jinho Shin · Erik Bekkers · Nina Miolane · Bruno Olshausen