{"total":18,"rows":[{"id":"2402.14730","title":"Clifford-Steerable Convolutional Neural Networks","created":"2024-02-22","cited_by_count":25,"area":null},{"id":"2112.03740","title":"Dilated convolution with learnable spacings","created":"2021-12-07","cited_by_count":20,"area":null},{"id":"2311.02922","title":"Truly Scale-Equivariant Deep Nets with Fourier Layers","created":"2023-11-06","cited_by_count":16,"area":null},{"id":"2304.04595","title":"Scale-Equivariant UNet for Histopathology Image Segmentation","created":"2023-04-10","cited_by_count":11,"area":null},{"id":"2303.04198","title":"On the Implicit Bias of Linear Equivariant Steerable Networks","created":"2023-03-07","cited_by_count":7,"area":null},{"id":"2304.05864","title":"Scale-Equivariant Deep Learning for 3D Data","created":"2023-04-12","cited_by_count":6,"area":null},{"id":"2510.01855","title":"Explicit Discovery of Nonlinear Symmetries from Dynamic Data","created":"2025-10-02","cited_by_count":6,"area":null},{"id":"2303.00326","title":"Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution","created":"2023-03-01","cited_by_count":4,"area":null},{"id":"2304.04600","title":"Rotation-Scale Equivariant Steerable Filters","created":"2023-04-10","cited_by_count":3,"area":null},{"id":"2211.10288","title":"Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks","created":"2022-11-18","cited_by_count":2,"area":null},{"id":"2409.07327","title":"Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2305.10110","title":"Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network","created":"2023-05-17","cited_by_count":1,"area":null},{"id":"2403.19066","title":"Generative Quanta Color Imaging","created":"2024-03-28","cited_by_count":1,"area":null},{"id":"2601.12227","title":"Learning Longitudinal Health Representations from EHR and Wearable Data","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2605.17582","title":"Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2307.12517","title":"Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2402.16825","title":"Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases","created":"2024-02-26","cited_by_count":0,"area":null},{"id":"2508.00197","title":"Graph Lineages and Skeletal Graph Products","created":"2025-07-31","cited_by_count":0,"area":null}],"next_cursor":null}