Cover Image

Flow Equivariant Recurrent Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Keller, T. Anderson
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
by: Lillemark, Hansen Jin, et al.
Published: (2026)

Diffeomorphism-Equivariant Neural Networks
by: Oettinger, Josephine Elisabeth, et al.
Published: (2026)

Recurrent Neural Networks for Still Images
by: Dmitri, et al.
Published: (2024)

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding
by: Pham, Quang P. M., et al.
Published: (2024)

Equivariant Latent Alignment via Flow Matching under Group Symmetries
by: Kim, Sunghyun, et al.
Published: (2026)

Augmented Equivariant Mesh Networks for Anatomical Segmentation
by: Saragih, Daniel
Published: (2026)

SEIS: Subspace-based Equivariance and Invariance Scores for Neural Representations
by: Lin, Huahua, et al.
Published: (2026)

Approximately Piecewise E(3) Equivariant Point Networks
by: Atzmon, Matan, et al.
Published: (2024)

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
by: Maruyama, Yoshihiro
Published: (2025)

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
by: Pham, Quang P. M., et al.
Published: (2024)

VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models
by: Hou, Haowen, et al.
Published: (2024)

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
by: Kim, Sungwon, et al.
Published: (2025)

Origins of Creativity in Attention-Based Diffusion Models
by: Finn, Emma, et al.
Published: (2025)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
by: Yaqub, Muhammad, et al.
Published: (2024)

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
by: Pereg, Deborah, et al.
Published: (2022)

Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)

Learning Color Equivariant Representations
by: Yang, Yulong, et al.
Published: (2024)

Tunable Soft Equivariance with Guarantees
by: Rahman, Md Ashiqur, et al.
Published: (2026)

Equivariant neural networks and equivarification
by: Bao, Erkao, et al.
Published: (2019)

Flows and Diffusions on the Neural Manifold
by: Saragih, Daniel, et al.
Published: (2025)

Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024)

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
by: Chang, Jianlei, et al.
Published: (2025)

Unsupervised Representation Learning from Sparse Transformation Analysis
by: Song, Yue, et al.
Published: (2024)

94% on CIFAR-10 in 3.29 Seconds on a Single GPU
by: Jordan, Keller
Published: (2024)

Lyapunov Stable Graph Neural Flow
by: Chu, Haoyu, et al.
Published: (2026)

Probing Equivariance and Symmetry Breaking in Convolutional Networks
by: Vadgama, Sharvaree, et al.
Published: (2025)

CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
by: Silver, Daniel, et al.
Published: (2025)

Disentanglement-Based Equivariant Learning for Compositional VQA
by: Du, Zhou, et al.
Published: (2026)

Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)

Neural Isometries: Taming Transformations for Equivariant ML
by: Mitchel, Thomas W., et al.
Published: (2024)

RotaTouille: Rotation Equivariant Deep Learning for Contours
by: Gardaa, Odin Hoff, et al.
Published: (2025)

Soft Equivariance Regularization for Invariant Self-Supervised Learning
by: Lee, Joohyung, et al.
Published: (2026)

A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks
by: Progga, Proma Hossain, et al.
Published: (2024)

Latent Equivariant Operators for Robust Object Recognition: Promises and Challenges
by: Dinh, Minh, et al.
Published: (2026)

Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning
by: Basheer, Ramzan, et al.
Published: (2024)

Neural Network Diffusion
by: Wang, Kai, et al.
Published: (2024)

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks
by: Pandya, Sneh, et al.
Published: (2025)

Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
by: Suk, Julian, et al.
Published: (2022)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
by: Shumaylov, Zakhar, et al.
Published: (2024)

Hyperbolic Binary Neural Network
by: Chen, Jun, et al.
Published: (2025)