Imagen de Portada

Inter-environmental world modeling for continuous and compositional dynamics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hayashi, Kohei, Koyama, Masanori, Guerreiro, Julian Jorge Andrade
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neural Fourier Transform: A General Approach to Equivariant Representation Learning
por: Koyama, Masanori, et al.
Publicado: (2023)

Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables
por: Imaizumi, Masaaki, et al.
Publicado: (2026)

Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
por: Ikeda, Kotaro, et al.
Publicado: (2025)

Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling
por: Takashiro, Shota, et al.
Publicado: (2026)

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions
por: Kubo, Kenji, et al.
Publicado: (2026)

Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation
por: Isobe, Noboru, et al.
Publicado: (2024)

DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
por: Shing, Makoto, et al.
Publicado: (2025)

CFTM: Continuous time fractional topic model
por: Nakagawa, Kei, et al.
Publicado: (2024)

Flow matching achieves almost minimax optimal convergence
por: Fukumizu, Kenji, et al.
Publicado: (2024)

Language-conditioned world model improves policy generalization by reading environmental descriptions
por: Nguyen, Anh, et al.
Publicado: (2025)

Deep hybrid models: infer and plan in a dynamic world
por: Priorelli, Matteo, et al.
Publicado: (2024)

Advancing Extrapolative Predictions of Material Properties through Learning to Learn
por: Noda, Kohei, et al.
Publicado: (2024)

DICE: Discrete inverse continuity equation for learning population dynamics
por: Blickhan, Tobias, et al.
Publicado: (2025)

Pareto-frontier Entropy Search with Variational Lower Bound Maximization
por: Ishikura, Masanori, et al.
Publicado: (2025)

A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
por: Masoudian, Saeed, et al.
Publicado: (2023)

Transfer learning with affine model transformation
por: Minami, Shunya, et al.
Publicado: (2022)

Path Learning with Trajectory Advantage Regression
por: Miyaguchi, Kohei
Publicado: (2025)

How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
por: Trinci, Tomaso, et al.
Publicado: (2024)

Stable neural networks and connections to continuous dynamical systems
por: Ehrhardt, Matthias J., et al.
Publicado: (2025)

Review learning: Real world validation of privacy preserving continual learning across medical institutions
por: Yoo, Jaesung, et al.
Publicado: (2022)

Context selectivity with dynamic availability enables lifelong continual learning
por: Barry, Martin, et al.
Publicado: (2023)

Uplift modeling with continuous treatments: A predict-then-optimize approach
por: De Vos, Simon, et al.
Publicado: (2024)

Tracking student skills real-time through a continuous-variable dynamic Bayesian network
por: Bijl, Hildo
Publicado: (2025)

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
por: Ito, Akira, et al.
Publicado: (2024)

KANHedge: Efficient Hedging of High-Dimensional Options Using Kolmogorov-Arnold Network-Based BSDE Solver
por: Handal, Rushikesh, et al.
Publicado: (2026)

Cometh: A continuous-time discrete-state graph diffusion model
por: Siraudin, Antoine, et al.
Publicado: (2024)

A Decomposition-based State Space Model for Multivariate Time-Series Forecasting
por: Nagashima, Shunya, et al.
Publicado: (2026)

Robust agents learn causal world models
por: Richens, Jonathan, et al.
Publicado: (2024)

General agents contain world models
por: Richens, Jonathan, et al.
Publicado: (2025)

Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment
por: Verhelst, Théo, et al.
Publicado: (2022)

Separating the what and how of compositional computation to enable reuse and continual learning
por: Shan, Haozhe, et al.
Publicado: (2025)

Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations
por: Pregowska, Agnieszka, et al.
Publicado: (2026)

Modeling Inter-Intra Heterogeneity for Graph Federated Learning
por: Yu, Wentao, et al.
Publicado: (2024)

Inter-patient ECG Arrhythmia Classification with LGNs and LUTNs
por: Mommen, Wout, et al.
Publicado: (2026)

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

Machine learning for structural design models of continuous beam systems via influence zones
por: Gallet, Adrien, et al.
Publicado: (2024)

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
por: Eddin, Ahmad Naser, et al.
Publicado: (2023)

Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
por: Winkler, Ludwig, et al.
Publicado: (2024)

Generalization properties of contrastive world models
por: Ramakrishnan, Kandan, et al.
Publicado: (2023)

Do We Really Need Permutations? Impact of Model Width on Linear Mode Connectivity
por: Ito, Akira, et al.
Publicado: (2025)