Cover Image

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Maruyama, Yoshihiro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning with Category-Equivariant Representations for Human Activity Recognition
by: Maruyama, Yoshihiro
Published: (2025)

Learning with Category-Equivariant Architectures for Human Activity Recognition
by: Maruyama, Yoshihiro
Published: (2025)

Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
by: Orozco, Sergio, et al.
Published: (2026)

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

Equivariant Reinforcement Learning under Partial Observability
by: Nguyen, Hai, et al.
Published: (2024)

The Lie Derivative for Measuring Learned Equivariance
by: Gruver, Nate, et al.
Published: (2022)

Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey
by: Schotschneider, Albert, et al.
Published: (2025)

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

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

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

Self-supervised Transformation Learning for Equivariant Representations
by: Yu, Jaemyung, et al.
Published: (2025)

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
by: Eisner, Ben, et al.
Published: (2024)

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

Soft Task-Aware Routing of Experts for Equivariant Representation Learning
by: Jeon, Jaebyeong, et al.
Published: (2025)

EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning
by: Chen, Yue, et al.
Published: (2024)

A General Framework for Robust G-Invariance in G-Equivariant Networks
by: Sanborn, Sophia, et al.
Published: (2023)

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
by: Ghaemi, Hafez, et al.
Published: (2025)

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
by: Catalani, Giovanni, et al.
Published: (2025)

Clebsch-Gordan Transformer: Fast and Global Equivariant Attention
by: Howell, Owen Lewis, et al.
Published: (2025)

Efficient Equivariant Transformer for Self-Driving Agent Modeling
by: Xu, Scott, et al.
Published: (2026)

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

AnyThermal: Towards Learning Universal Representations for Thermal Perception
by: Maheshwari, Parv, et al.
Published: (2026)

C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
by: Bauvin, Baptiste, et al.
Published: (2025)

Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis
by: Walia, Jaskaran Singh, et al.
Published: (2024)

Understanding the Role of Equivariance in Self-supervised Learning
by: Wang, Yifei, et al.
Published: (2024)

Octic Vision Transformers: Quicker ViTs Through Equivariance
by: Nordström, David, et al.
Published: (2025)

Towards a Safer and Sustainable Manufacturing Process: Material classification in Laser Cutting Using Deep Learning
by: Salem, Mohamed Abdallah, et al.
Published: (2025)

Neural MP: A Generalist Neural Motion Planner
by: Dalal, Murtaza, et al.
Published: (2024)

Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching
by: Fernandez-Fernandez, Raul, et al.
Published: (2024)

CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer
by: Fu, Lian, et al.
Published: (2024)

ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
by: Tie, Chenrui, et al.
Published: (2024)

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)

Towards Training-Free Underwater 3D Object Detection from Sonar Point Clouds: A Comparison of Traditional and Deep Learning Approaches
by: Shaukat, M. Salman, et al.
Published: (2025)

TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
by: Zarrar, Mohammed Misbah, et al.
Published: (2024)

Neural Fields in Robotics: A Survey
by: Irshad, Muhammad Zubair, et al.
Published: (2024)

Deep Modeling of Non-Gaussian Aleatoric Uncertainty
by: Acharya, Aastha, et al.
Published: (2024)

Understanding Video Transformers via Universal Concept Discovery
by: Kowal, Matthew, et al.
Published: (2024)

MapAnything: Universal Feed-Forward Metric 3D Reconstruction
by: Keetha, Nikhil, et al.
Published: (2025)

Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
by: Kindap, Yaman, et al.
Published: (2026)