Cover Image

The Information Dynamics of Generative Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stancevic, Dejan, Ambrogioni, Luca
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Entropic Time Schedulers for Generative Diffusion Models
by: Stancevic, Dejan, et al.
Published: (2025)

Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)

The Entropic Signature of Class Speciation in Diffusion Models
by: Handke, Florian, et al.
Published: (2026)

Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers
by: Trentini, Bruno, et al.
Published: (2026)

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data
by: Pham, Bao, et al.
Published: (2026)

How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models
by: Ambrogioni, Luca
Published: (2026)

Measuring Semantic Information Production in Generative Diffusion Models
by: Handke, Florian, et al.
Published: (2025)

The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability
by: Ambrogioni, Luca
Published: (2023)

Stationarity without mean reversion in improper Gaussian processes
by: Ambrogioni, Luca
Published: (2023)

Graph Neural Diffusion via Generalized Opinion Dynamics
by: Hevapathige, Asela, et al.
Published: (2025)

Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
by: Chen, Qi, et al.
Published: (2025)

Diffusion-TS: Interpretable Diffusion for General Time Series Generation
by: Yuan, Xinyu, et al.
Published: (2024)

UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments
by: Ninkovic, Vukan, et al.
Published: (2024)

Generative Uncertainty in Diffusion Models
by: Jazbec, Metod, et al.
Published: (2025)

Scalable Diffusion for Materials Generation
by: Yang, Sherry, et al.
Published: (2023)

Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
by: Graves, Reid, et al.
Published: (2024)

DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation
by: Liuliakov, Aleksei, et al.
Published: (2026)

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)

Diffusion-based Time Series Forecasting for Sewerage Systems
by: Pearson, Nicholas A., et al.
Published: (2025)

WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
by: Yang, Haojin, et al.
Published: (2025)

Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)

Graph-Aware Diffusion for Signal Generation
by: Rozada, Sergio, et al.
Published: (2025)

One-Class Intrusion Detection with Dynamic Graphs
by: Liuliakov, Aleksei, et al.
Published: (2025)

Generalized Discrete Diffusion with Self-Correction
by: Wang, Linxuan, et al.
Published: (2026)

Diffusion-based Graph Generative Methods
by: Chen, Hongyang, et al.
Published: (2024)

General and Efficient Steering of Unconditional Diffusion
by: Wang, Qingsong, et al.
Published: (2026)

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics
by: Baeg, Min Young, et al.
Published: (2026)

FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)

Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
by: Jiralerspong, Thomas, et al.
Published: (2025)

CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025)

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection
by: Yang, Yuxin, et al.
Published: (2026)

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models
by: Rahimi, Eliron, et al.
Published: (2026)

Recurrent Diffusion for Large-Scale Parameter Generation
by: Wang, Kai, et al.
Published: (2025)

Generative Data Mining with Longtail-Guided Diffusion
by: Hayden, David S., et al.
Published: (2025)

Population Aware Diffusion for Time Series Generation
by: Li, Yang, et al.
Published: (2025)

Graph Representation Learning with Diffusion Generative Models
by: Wesego, Daniel
Published: (2025)

Tabular Data Generation using Binary Diffusion
by: Kinakh, Vitaliy, et al.
Published: (2024)

Fast Graph Generation via Spectral Diffusion
by: Luo, Tianze, et al.
Published: (2022)