conftrace_

group theory

43 papers

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Co-occurring keywords

representation learning (6206) equivariant neural network (75) neural network (6616) representation theory (12) equivariant network (44) group representation (15) knowledge graph embedding (300) disentangled representation (521) group action (9) data augmentation (3052)

Papers

On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025
REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS ICLR 2025
Monomial Matrix Group Equivariant Neural Functional Networks NIPS 2024
A Generative Model of Symmetry Transformations NIPS 2024
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks NIPS 2024
Improving Equivariant Model Training via Constraint Relaxation NIPS 2024
MatrixNet: Learning over symmetry groups using learned group representations NIPS 2024
A Canonicalization Perspective on Invariant and Equivariant Learning NIPS 2024
Knowledge Graph Embedding by Normalizing Flows AAAI 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NIPS 2023
Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering JMLR 2023
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations ICML 2023
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions ICML 2023
Compounding Geometric Operations for Knowledge Graph Completion ACL 2023
Efficient Equivariant Transfer Learning from Pretrained Models NIPS 2023
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations ACL 2022
Invariance-Aware Randomized Smoothing Certificates NIPS 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups NIPS 2022
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors NIPS 2022
Self-Supervised Learning Disentangled Group Representation as Feature NIPS 2021
Provably Strict Generalisation Benefit for Equivariant Models ICML 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ICML 2021
Equivariant Networks for Pixelized Spheres ICML 2021
Scalars are universal: Equivariant machine learning, structured like classical physics NIPS 2021