Equivariant Frames and the Impossibility of Continuous Canonicalization

25 February 2024

Papers citing "Equivariant Frames and the Impossibility of Continuous Canonicalization"

16 / 16 papers shown

Title
Representing spherical tensors with scalar-based machine-learning models Michelangelo Domina Filippo Bigi Paolo Pegolo Michele Ceriotti 36 0 0 08 May 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 40 3 0 27 Mar 2025
CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling Yusei Ito Tatsunori Taniai Ryo Igarashi Yoshitaka Ushiku K. Ono 57 0 0 04 Mar 2025
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 63 0 0 27 Feb 2025
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schr\"odinger Equation Kevin Han Huang Ni Zhan Elif Ertekin Peter Orbanz Ryan P. Adams 52 0 0 07 Feb 2025
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models Theo Putterman Derek Lim Yoav Gelberg Stefanie Jegelka Haggai Maron AI4CE 43 5 0 05 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 32 1 0 03 Oct 2024
Improving Molecular Modeling with Geometric GNNs: an Empirical Study Ali Ramlaoui Théo Saulus Basile Terver Victor Schmidt David Rolnick Fragkiskos D. Malliaros Alexandre Duval AI4CE 27 1 0 11 Jul 2024
Probing the effects of broken symmetries in machine learning Marcel F. Langer Sergey Pozdnyakov Michele Ceriotti AI4CE 26 0 0 25 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 26 7 0 11 Jun 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 23 2 0 07 Feb 2024
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 33 26 0 02 Oct 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 399 0 04 Oct 2022
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 90 0 07 Oct 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 44 89 0 25 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,218 0 08 Jan 2021