Biased Generalization in Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Garnier-Brun, Jerome, Biggio, Luca, Beltrame, Davide, Mézard, Marc, Saglietti, Luca |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How transformers learn structured data: insights from hierarchical filtering
by: Garnier-Brun, Jerome, et al.
Published: (2024)
by: Garnier-Brun, Jerome, et al.
Published: (2024)
Replication and Information Extraction in a Minimal Agent-Environment Model
by: Ariosto, Sebastiano, et al.
Published: (2025)
by: Ariosto, Sebastiano, et al.
Published: (2025)
Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks
by: Bocchi, Dario, et al.
Published: (2026)
by: Bocchi, Dario, et al.
Published: (2026)
Unlearnable Games and "Satisficing'' Decisions: A Simple Model for a Complex World
by: Garnier-Brun, Jerome, et al.
Published: (2023)
by: Garnier-Brun, Jerome, et al.
Published: (2023)
Kernel Density Estimators in Large Dimensions
by: Biroli, Giulio, et al.
Published: (2024)
by: Biroli, Giulio, et al.
Published: (2024)
Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings
by: D'Amico, Francesco, et al.
Published: (2025)
by: D'Amico, Francesco, et al.
Published: (2025)
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
by: Ghio, Davide, et al.
Published: (2023)
by: Ghio, Davide, et al.
Published: (2023)
Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers
by: Albrychiewicz, Emil, et al.
Published: (2026)
by: Albrychiewicz, Emil, et al.
Published: (2026)
Generalization vs. Specialization under Concept Shift
by: Nguyen, Alex, et al.
Published: (2024)
by: Nguyen, Alex, et al.
Published: (2024)
Localized and delocalized modes on random geometric graphs in 1D
by: Schaefer, Luca, et al.
Published: (2025)
by: Schaefer, Luca, et al.
Published: (2025)
Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions
by: Bae, Jaeyong, et al.
Published: (2024)
by: Bae, Jaeyong, et al.
Published: (2024)
Rare Event Analysis of Large Language Models
by: Dorman, Jake McAllister, et al.
Published: (2026)
by: Dorman, Jake McAllister, et al.
Published: (2026)
Preferential attachment and power-law degree distributions in heterogeneous multilayer hypergraphs
by: Di Lauro, Francesco, et al.
Published: (2025)
by: Di Lauro, Francesco, et al.
Published: (2025)
Explaining the effects of non-convergent sampling in the training of Energy-Based Models
by: Agoritsas, Elisabeth, et al.
Published: (2023)
by: Agoritsas, Elisabeth, et al.
Published: (2023)
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
by: Mao, Jialin, et al.
Published: (2025)
by: Mao, Jialin, et al.
Published: (2025)
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
by: Ma, Qunlong, et al.
Published: (2024)
by: Ma, Qunlong, et al.
Published: (2024)
Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks
by: Di Carlo, Luca, et al.
Published: (2025)
by: Di Carlo, Luca, et al.
Published: (2025)
The twin peaks of learning neural networks
by: Demyanenko, Elizaveta, et al.
Published: (2024)
by: Demyanenko, Elizaveta, et al.
Published: (2024)
Theory of Speciation Transitions in Diffusion Models with General Class Structure
by: Achilli, Beatrice, et al.
Published: (2026)
by: Achilli, Beatrice, et al.
Published: (2026)
Intensity pseudo-localized phase in the glassy random laser
by: Niedda, Jacopo, et al.
Published: (2022)
by: Niedda, Jacopo, et al.
Published: (2022)
Smoothed-Cubic Spin-Glass Model of Random Lasers
by: Benedetti, Marcello, et al.
Published: (2025)
by: Benedetti, Marcello, et al.
Published: (2025)
Distinct mechanisms underlying in-context learning in transformers
by: Gibson, Cole, et al.
Published: (2026)
by: Gibson, Cole, et al.
Published: (2026)
Factual recall in linear associative memories: sharp asymptotics and mechanistic insights
by: Giorlandino, Alessio, et al.
Published: (2026)
by: Giorlandino, Alessio, et al.
Published: (2026)
From Classical to Quantum: Extending Prometheus for Unsupervised Discovery of Phase Transitions in Three Dimensions and Quantum Systems
by: Yee, Brandon, et al.
Published: (2026)
by: Yee, Brandon, et al.
Published: (2026)
The Symmetric Perceptron: a Teacher-Student Scenario
by: Catania, Giovanni, et al.
Published: (2026)
by: Catania, Giovanni, et al.
Published: (2026)
Memorisation, convergence and generalisation in generative models
by: Maillard, Antoine, et al.
Published: (2026)
by: Maillard, Antoine, et al.
Published: (2026)
How does Chain of Thought decompose complex tasks?
by: Nadgir, Amrut, et al.
Published: (2026)
by: Nadgir, Amrut, et al.
Published: (2026)
Analytic theory of dropout regularization
by: Mori, Francesco, et al.
Published: (2025)
by: Mori, Francesco, et al.
Published: (2025)
The Copycat Perceptron: Smashing Barriers Through Collective Learning
by: Catania, Giovanni, et al.
Published: (2023)
by: Catania, Giovanni, et al.
Published: (2023)
Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines
by: Fachechi, Alberto, et al.
Published: (2024)
by: Fachechi, Alberto, et al.
Published: (2024)
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
by: Biazzo, Indaco
Published: (2023)
by: Biazzo, Indaco
Published: (2023)
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
by: Mori, Francesco, et al.
Published: (2024)
by: Mori, Francesco, et al.
Published: (2024)
Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks
by: Tamai, Keiichi, et al.
Published: (2023)
by: Tamai, Keiichi, et al.
Published: (2023)
Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
by: Giorlandino, Alessio, et al.
Published: (2025)
by: Giorlandino, Alessio, et al.
Published: (2025)
Inferring Higher-Order Couplings with Neural Networks
by: Decelle, Aurélien, et al.
Published: (2025)
by: Decelle, Aurélien, et al.
Published: (2025)
Discrete generative diffusion models without stochastic differential equations: a tensor network approach
by: Causer, Luke, et al.
Published: (2024)
by: Causer, Luke, et al.
Published: (2024)
The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning
by: Favero, Alessandro
Published: (2025)
by: Favero, Alessandro
Published: (2025)
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
by: Angelini, Maria Chiara, et al.
Published: (2023)
by: Angelini, Maria Chiara, et al.
Published: (2023)
Inferring effective couplings with Restricted Boltzmann Machines
by: Decelle, Aurélien, et al.
Published: (2023)
by: Decelle, Aurélien, et al.
Published: (2023)
Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
by: Okajima, Koki, et al.
Published: (2024)
by: Okajima, Koki, et al.
Published: (2024)
Similar Items
-
How transformers learn structured data: insights from hierarchical filtering
by: Garnier-Brun, Jerome, et al.
Published: (2024) -
Replication and Information Extraction in a Minimal Agent-Environment Model
by: Ariosto, Sebastiano, et al.
Published: (2025) -
Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks
by: Bocchi, Dario, et al.
Published: (2026) -
Unlearnable Games and "Satisficing'' Decisions: A Simple Model for a Complex World
by: Garnier-Brun, Jerome, et al.
Published: (2023) -
Kernel Density Estimators in Large Dimensions
by: Biroli, Giulio, et al.
Published: (2024)