Equivariance Through Parameter-Sharing

27 February 2017

Papers citing "Equivariance Through Parameter-Sharing"

50 / 51 papers shown

Title
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 65 0 0 27 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 78 5 0 17 Feb 2025
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 32 2 0 09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 44 2 0 18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 39 4 0 23 Aug 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 38 2 0 30 May 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 14 5 0 22 Jan 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 31 30 0 07 Dec 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 26 21 0 20 Oct 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 28 3 0 11 Sep 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension Miguel Abreu Luis Paulo Reis N. Lau 33 5 0 06 Sep 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 33 22 0 27 May 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 36 48 0 30 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 33 63 0 30 Jan 2023
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 42 23 0 15 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 36 61 0 11 Nov 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 25 2 0 17 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
Equivariant Transduction through Invariant Alignment Jennifer C. White Ryan Cotterell 14 4 0 22 Sep 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 21 6 0 18 Aug 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 38 187 0 06 Jul 2022
Offset equivariant networks and their applications Marco Cotogni C. Cusano 16 7 0 01 Jul 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie Naoto Mitsume PINN AI4CE 23 23 0 24 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 25 47 0 08 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Equivariant neural networks for recovery of Hadamard matrices A. Peres E. Dias Luís Sarmento Hugo Penedones 10 0 0 31 Jan 2022
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 48 174 0 06 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 36 38 0 03 Sep 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 34 1 0 26 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors Yin Tang Qi Teng L. Zhang Fuhong Min Jun He HAI 19 89 0 08 May 2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space Yingyi Ma Vignesh Ganapathiraman Yaoliang Yu Xinhua Zhang 14 1 0 25 Apr 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 40 846 0 06 Mar 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 19 23 0 18 Nov 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 19 29 0 09 Oct 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 17 26 0 27 May 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 24 255 0 06 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 38 402 0 11 Feb 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 24 494 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 25 264 0 24 Jun 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 22 157 0 07 Mar 2018
$$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space$ $\mathcal{G}$ -SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space Qi Meng Shuxin Zheng Huishuai Zhang Wei-Neng Chen Zhi-Ming Ma Tie-Yan Liu 35 38 0 11 Feb 2018