The Lie Derivative for Measuring Learned Equivariance

6 October 2022

Papers citing "The Lie Derivative for Measuring Learned Equivariance"

41 / 41 papers shown

Title
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 61 0 0 19 May 2025
Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman Raymond A. Yeh 86 1 0 24 Apr 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 110 2 0 16 Dec 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko Hyunsu Kim Juho Lee 50 4 0 29 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 57 2 0 23 Oct 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 44 2 0 26 Aug 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 47 5 0 23 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 61 0 0 08 Aug 2024
Structure-based drug design by denoising voxel grids Pedro H. O. Pinheiro Arian R. Jamasb Omar Mahmood Vishnu Sresht Saeed Saremi DiffM 44 8 0 07 May 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text Nate Gruver Anuroop Sriram Andrea Madotto A. Wilson C. L. Zitnick Zachary W. Ulissi 35 61 0 06 Feb 2024
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI Benjamin Billot Neel Dey Daniel Moyer M. Hoffmann Esra Abaci Turk B. Gagoski Ellen Grant Polina Golland 3DPC 62 6 0 21 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 42 10 0 04 Dec 2023
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang Ahmed A. A. Elhag Navdeep Jaitly J. Susskind Miguel Angel Bautista DiffM 36 21 0 27 Nov 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 34 7 0 19 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 51 327 0 11 Oct 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 58 28 0 02 Oct 2023
3D molecule generation by denoising voxel grids Pedro H. O. Pinheiro Joshua Rackers J. Kleinhenz Michael R. Maser Omar Mahmood Andrew Watkins Stephen Ra Vishnu Sresht Saeed Saremi DiffM 43 22 0 13 Jun 2023
Reviving Shift Equivariance in Vision Transformers Peijian Ding Davit Soselia Thomas Armstrong Jiahao Su Furong Huang 48 7 0 13 Jun 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning Francesca Bartolucci Emmanuel de Bezenac Bogdan Raonić Roberto Molinaro Siddhartha Mishra Rima Alaifari 62 28 0 31 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 34 6 0 26 May 2023
$$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI$ $E(3) \times SO(3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI Axel Elaldi Guido Gerig Neel Dey MedIm 48 3 0 12 Apr 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning Micah Goldblum Marc Finzi K. Rowan A. Wilson UQCV FedML 55 39 0 11 Apr 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 70 5 0 02 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics Marloes Arts Victor Garcia Satorras Chin-Wei Huang Daniel Zuegner Marco Federici C. Clementi Frank Noé Robert Pinsler Rianne van den Berg DiffM 39 87 0 01 Feb 2023
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner AI4CE 56 22 0 13 Jan 2023
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 51 25 0 09 Oct 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 230 403 0 24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 327 7,544 0 11 Nov 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 488 0 01 Oct 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin OOD 88 34 0 07 Aug 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 315 2,623 0 04 May 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 323 1,536 0 27 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 226 513 0 11 Feb 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,558 0 11 Jan 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 259 1,253 0 08 Jan 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 45 9 0 30 Jun 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 224 1,403 0 04 Dec 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 213 243 0 14 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 350 10,253 0 16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 361 14,429 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 368 36,493 0 25 Aug 2016