Imagen de Portada

Latent Abstractions in Generative Diffusion Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Franzese, Giulio, Martini, Mattia, Corallo, Giulio, Papotti, Paolo, Michiardi, Pietro
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MINDE: Mutual Information Neural Diffusion Estimation
por: Franzese, Giulio, et al.
Publicado: (2023)

INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
por: Foresti, Alberto, et al.
Publicado: (2025)

Learning to Match Unpaired Data with Minimum Entropy Coupling
por: Bounoua, Mustapha, et al.
Publicado: (2025)

S$Ω$I: Score-based O-INFORMATION Estimation
por: Bounoua, Mustapha, et al.
Publicado: (2024)

Improved Sampling Schedules for Discrete Diffusion Models
por: Foresti, Alberto, et al.
Publicado: (2026)

Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
por: Corallo, Giulio, et al.
Publicado: (2026)

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
por: Wang, Chao, et al.
Publicado: (2026)

Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning
por: Corallo, Giulio, et al.
Publicado: (2025)

Finch: Prompt-guided Key-Value Cache Compression
por: Corallo, Giulio, et al.
Publicado: (2024)

RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
por: Wang, Chao, et al.
Publicado: (2025)

TENDE: Transfer Entropy Neural Diffusion Estimation
por: Munoz, Simon Pedro Galeano, et al.
Publicado: (2025)

Information Theoretic Text-to-Image Alignment
por: Wang, Chao, et al.
Publicado: (2024)

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
por: Clemente, Simone, et al.
Publicado: (2025)

A Word is Worth 4-bit: Efficient Log Parsing with Binary Coded Decimal Recognition
por: Srivastava, Prerak, et al.
Publicado: (2025)

Scaling Laws for Uncertainty in Deep Learning
por: Rosso, Mattia, et al.
Publicado: (2025)

An efficient neuromorphic approach for collision avoidance combining Stack-CNN with event cameras
por: Coretti, Antonio Giulio, et al.
Publicado: (2025)

Theory of Speciation Transitions in Diffusion Models with General Class Structure
por: Achilli, Beatrice, et al.
Publicado: (2026)

Dynamical Regimes of Diffusion Models
por: Biroli, Giulio, et al.
Publicado: (2024)

Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
por: Papicchio, Simone, et al.
Publicado: (2025)

How Worst-Case Are Adversarial Attacks? Linking Adversarial and Perturbation Robustness
por: Rossolini, Giulio
Publicado: (2026)

Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models
por: Riva, Giulio Valentino Dalla
Publicado: (2026)

Energy-GNoME: A Living Database of Selected Materials for Energy Applications
por: De Angelis, Paolo, et al.
Publicado: (2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
por: Kong, Deqian, et al.
Publicado: (2024)

Optimizing Noise Schedules of Generative Models in High Dimensionss
por: Aranguri, Santiago, et al.
Publicado: (2025)

Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
por: Mitsuzawa, Kensuke, et al.
Publicado: (2023)

In-Context Planning with Latent Temporal Abstractions
por: Luo, Baiting, et al.
Publicado: (2026)

Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
por: Cappuzzo, Riccardo, et al.
Publicado: (2024)

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
por: Bonnaire, Tony, et al.
Publicado: (2025)

Data Augmentation for Traffic Classification
por: Wang, Chao, et al.
Publicado: (2024)

Compositional Symmetry as Compression: Lie Pseudogroup Structure in Algorithmic Agents
por: Ruffini, Giulio
Publicado: (2025)

Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
por: McCart, Jonathan D., et al.
Publicado: (2024)

Learning Page Order in Shuffled WOO Releases
por: Kahraman, Efe, et al.
Publicado: (2026)

Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
por: Thakkar, Janvi, et al.
Publicado: (2023)

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
por: Azorin, Raphael, et al.
Publicado: (2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
por: Fu, Xingcheng, et al.
Publicado: (2024)

Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities
por: Riva, Giulio Valentino Dalla
Publicado: (2026)

Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
por: Thakkar, Janvi, et al.
Publicado: (2024)

Latent Diffusion Model for Conditional Reservoir Facies Generation
por: Lee, Daesoo, et al.
Publicado: (2023)

Physics-Informed Learning for Human Whole-Body Kinematics Prediction via Sparse IMUs
por: Guo, Cheng, et al.
Publicado: (2025)

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
por: Qian, Jian, et al.
Publicado: (2024)