group convolution

Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis CVPR 2026 Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks IJCAI 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Equivariant Neural Tangent Kernels ICML 2025 Flexible Group Count Enables Hassle-Free Structured Pruning CVPR 2025 Learning Color Equivariant Representations ICLR 2025 Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions ICLR 2025 On the Fourier analysis in the SO(3) space : the EquiLoPO Network ICLR 2025 Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding AAAI 2024 Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space ICLR 2024 Unitary Convolutions for Learning on Graphs and Groups NeurIPS 2024 Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts ICML 2024 E2PN: Efficient SE(3)-Equivariant Point Network CVPR 2023 Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks WACV 2023 Enabling Equivariance for Arbitrary Lie Groups CVPR 2022 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups ICML 2022 How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022 T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation WACV 2022 Structured sparsification with joint optimization of group convolution and channel shuffle UAI 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters AAAI 2021 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 Collegial Ensembles NeurIPS 2020 Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed Interspeech 2020 Semantically Multi-Modal Image Synthesis CVPR 2020 Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks ICCV 2019