Cover Image

Unsupervised Learning of Inter-Object Relationships via Group Homomorphism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ushida, Kyotaro, Komatsu, Takayuki, Ohmura, Yoshiyuki, Kuniyoshi, Yasuo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
by: Komatsu, Takayuki, et al.
Published: (2026)

Unsupervised categorization of similarity measures
by: Ohmura, Yoshiyuki, et al.
Published: (2025)

Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory
by: Nishitsunoi, Kayato, et al.
Published: (2025)

Feature-Based Lie Group Transformer for Real-World Applications
by: Komatsu, Takayuki, et al.
Published: (2025)

Defining causal mechanism in dual process theory and two types of feedback control
by: Ohmura, Yoshiyuki, et al.
Published: (2026)

Dual-Laws Model for a theory of artificial consciousness
by: Ohmura, Yoshiyuki, et al.
Published: (2026)

Causal Stance
by: Ohmura, Yoshiyuki, et al.
Published: (2026)

Mental causation in a physical world: A self-causation model of downward causation
by: Ohmura, Yoshiyuki, et al.
Published: (2023)

Considering a generative mechanism of consciousness from the perspective of inter-level causation
by: Ohmura, Yoshiyuki, et al.
Published: (2025)

Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation
by: Takizawa, Ryo, et al.
Published: (2025)

Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View
by: Nakagawa, Koki, et al.
Published: (2025)

Transformer-based deep imitation learning for dual-arm robot manipulation
by: Kim, Heecheol, et al.
Published: (2021)

Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
by: Kim, Heecheol, et al.
Published: (2022)

Multi-task real-robot data with gaze attention for dual-arm fine manipulation
by: Kim, Heecheol, et al.
Published: (2024)

Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
by: Kim, Heecheol, et al.
Published: (2021)

Exploration-assisted Bottleneck Transition Toward Robust and Data-efficient Deformable Object Manipulation
by: Onishi, Yujiro, et al.
Published: (2026)

A Mathematical Formalization of Self-Determining Agency
by: Ohmura, Yoshiyuki, et al.
Published: (2026)

Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer
by: Kim, Heecheol, et al.
Published: (2022)

Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks
by: Takizawa, Ryo, et al.
Published: (2025)

Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
by: Guan, JingChuan, et al.
Published: (2025)

Multifunctional physical reservoir computing in soft tensegrity robots
by: Terajima, Ryo, et al.
Published: (2025)

Enabling Federated Inference via Unsupervised Consensus Embedding
by: Hashimoto, Yui, et al.
Published: (2026)

Context-Aware Aerial Object Detection: Leveraging Inter-Object and Background Relationships
by: Ren, Botao, et al.
Published: (2024)

Designing Chaotic Attractors: A Semi-supervised Approach
by: Kabayama, Tempei, et al.
Published: (2024)

Exploiting Chaotic Dynamics as Deep Neural Networks
by: Liu, Shuhong, et al.
Published: (2024)

Training Spiking Neural Networks via Augmented Direct Feedback Alignment
by: Zhang, Yongbo, et al.
Published: (2024)

Topology Matters: A Cautionary Case Study of Graph SSL on Neuro-Inspired Benchmarks
by: Carlon, May Kristine Jonson, et al.
Published: (2026)

Multi-Label Bayesian Active Learning with Inter-Label Relationships
by: Qi, Yuanyuan, et al.
Published: (2024)

Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
by: Keurti, Hamza, et al.
Published: (2022)

Active Inference with a Self-Prior in the Mirror-Mark Task
by: Kim, Dongmin, et al.
Published: (2026)

Unsupervised Learning of Group Invariant and Equivariant Representations
by: Winter, Robin, et al.
Published: (2022)

How noise affects memory in linear recurrent networks
by: Guan, JingChuan, et al.
Published: (2024)

Attractor-merging Crises and Intermittency in Reservoir Computing
by: Kabayama, Tempei, et al.
Published: (2025)

Understanding Inter-Concept Relationships in Concept-Based Models
by: Raman, Naveen, et al.
Published: (2024)

Homomorphism Counts as Structural Encodings for Graph Learning
by: Bao, Linus, et al.
Published: (2024)

Beyond Surrogates: A Quantitative Analysis for Inter-Metric Relationships
by: Pu, Yuanhao, et al.
Published: (2026)

SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation
by: Shang, Haoliang, et al.
Published: (2025)

Unsupervised Meta-Learning via In-Context Learning
by: Vettoruzzo, Anna, et al.
Published: (2024)

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
by: Long, Yunbo, et al.
Published: (2025)

Unsupervised Feature Selection Through Group Discovery
by: Lifshitz, Shira, et al.
Published: (2025)