Co-occurring keywords · papers mentioning both
Papers
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
AAAI 2026
Axis-level Symmetry Detection with Group-Equivariant Representation
ICCV 2025
Group Downsampling with Equivariant Anti-aliasing
ICLR 2025
Affine Equivariant Networks Based on Differential Invariants
CVPR 2024
Any-dimensional equivariant neural networks
AISTATS 2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
AAAI 2024
Learning symmetries via weight-sharing with doubly stochastic tensors
NeurIPS 2024
Monomial Matrix Group Equivariant Neural Functional Networks
NeurIPS 2024
Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
CVPR 2024
$E(2)$-Equivariant Vision Transformer
UAI 2023
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
NeurIPS 2023
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
ICLR 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
NeurIPS 2023
Brauer’s Group Equivariant Neural Networks
ICML 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations
ICML 2023
How Jellyfish Characterise Alternating Group Equivariant Neural Networks
ICML 2023
Investigating how ReLU-networks encode symmetries
NeurIPS 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NeurIPS 2023
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
ICLR 2022
Equivariance Discovery by Learned Parameter-Sharing
AISTATS 2022
Equivariant Transduction through Invariant Alignment
COLING 2022
Group equivariant neural posterior estimation
ICLR 2022
Implicit Bias of Linear Equivariant Networks
ICML 2022
Learning Symmetric Embeddings for Equivariant World Models
ICML 2022