Cover Image

Learning Iterative Reasoning through Energy Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Yilun, Mao, Jiayuan, Tenenbaum, Joshua B.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalizable Reasoning through Compositional Energy Minimization
by: Oarga, Alexandru, et al.
Published: (2025)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
by: Subramaniam, Vighnesh, et al.
Published: (2025)

Neuro-Symbolic Concepts
by: Mao, Jiayuan, et al.
Published: (2025)

What Planning Problems Can A Relational Neural Network Solve?
by: Mao, Jiayuan, et al.
Published: (2023)

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
by: Du, Yilun, et al.
Published: (2023)

Learning Linear Attention in Polynomial Time
by: Yau, Morris, et al.
Published: (2024)

What Makes a Maze Look Like a Maze?
by: Hsu, Joy, et al.
Published: (2024)

Generative Trajectory Stitching through Diffusion Composition
by: Luo, Yunhao, et al.
Published: (2025)

Energy-Based Models for Continual Learning
by: Li, Shuang, et al.
Published: (2020)

Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)

Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
by: Hassidof, Yaniv, et al.
Published: (2026)

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
by: Wang, Runqian, et al.
Published: (2025)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
by: Béthune, Louis, et al.
Published: (2025)

Large-scale Reinforcement Learning for Diffusion Models
by: Zhang, Yinan, et al.
Published: (2024)

Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement
by: Kang, Taegu, et al.
Published: (2026)

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
by: Lee, Sanghyun, et al.
Published: (2025)

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
by: Balcerak, Michal, et al.
Published: (2026)

Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)

Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)

From Noise to Control: Parameterized Diffusion Policies
by: Zhang, Renhao, et al.
Published: (2026)

Multi-Modal Manipulation via Multi-Modal Policy Consensus
by: Chen, Haonan, et al.
Published: (2025)

Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
by: Zhi-Xuan, Tan, et al.
Published: (2024)

Potential Based Diffusion Motion Planning
by: Luo, Yunhao, et al.
Published: (2024)

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
by: Xie, Yuxi, et al.
Published: (2024)

SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback
by: Benarous, Elior, et al.
Published: (2025)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement
by: Ota, Kei, et al.
Published: (2023)

On the Relation Between Linear Diffusion and Power Iteration
by: Weitzner, Dana, et al.
Published: (2024)

Benchmarking World-Model Learning with Environment-Level Queries
by: Warrier, Archana, et al.
Published: (2025)

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models
by: Zhang, Yilun
Published: (2025)

COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context
by: Gupta, Naman, et al.
Published: (2025)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)

POCAII: Parameter Optimization with Conscious Allocation using Iterative Intelligence
by: Inman, Joshua, et al.
Published: (2025)

Language and Experience: A Computational Model of Social Learning in Complex Tasks
by: Colas, Cédric, et al.
Published: (2025)

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
by: Jaiswal, Shantanu, et al.
Published: (2024)

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
by: Ruan, Jiaoyang, et al.
Published: (2026)

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
by: Zhao, Minda, et al.
Published: (2026)

Compositional Image Decomposition with Diffusion Models
by: Su, Jocelin, et al.
Published: (2024)

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
by: Selvam, Nikil Roashan, et al.
Published: (2024)