Saved in:
| Main Authors: | Benedetti, Marco, Bogdanov, Andrej, Malatesta, Enrico M., Mézard, Marc, Perrupato, Gianmarco, Rosen, Alon, Schwartzbach, Nikolaj I., Zecchina, Riccardo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.05197 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are Neural Networks Collision Resistant?
by: Benedetti, Marco, et al.
Published: (2025)
by: Benedetti, Marco, et al.
Published: (2025)
Properties of the geometry of solutions and capacity of multi-layer neural networks with Rectified Linear Units activations
by: Baldassi, Carlo, et al.
Published: (2019)
by: Baldassi, Carlo, et al.
Published: (2019)
Sampling the space of solutions of an artificial neural network
by: Zambon, Alessandro, et al.
Published: (2025)
by: Zambon, Alessandro, et al.
Published: (2025)
Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
by: Badalotti, Davide, et al.
Published: (2025)
by: Badalotti, Davide, et al.
Published: (2025)
Impact of dendritic non-linearities on the computational capabilities of neurons
by: Lauditi, Clarissa, et al.
Published: (2024)
by: Lauditi, Clarissa, et al.
Published: (2024)
Solution of the Critical Dynamics of the Mean-Field Kob-Andersen Model
by: Perrupato, Gianmarco, et al.
Published: (2025)
by: Perrupato, Gianmarco, et al.
Published: (2025)
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)
Thermodynamics of the Fredrickson-Andersen Model on the Bethe Lattice
by: Perrupato, Gianmarco, et al.
Published: (2023)
by: Perrupato, Gianmarco, et al.
Published: (2023)
Theory of Kinetically-Constrained-Models Dynamics
by: Perrupato, Gianmarco, et al.
Published: (2022)
by: Perrupato, Gianmarco, et al.
Published: (2022)
Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis
by: Achilli, Beatrice, et al.
Published: (2025)
by: Achilli, Beatrice, et al.
Published: (2025)
The Capacity of Modern Hopfield Networks under the Data Manifold Hypothesis
by: Achilli, Beatrice, et al.
Published: (2025)
by: Achilli, Beatrice, et al.
Published: (2025)
The Exponential Capacity of Dense Associative Memories
by: Lucibello, Carlo, et al.
Published: (2023)
by: Lucibello, Carlo, et al.
Published: (2023)
High-dimensional manifold of solutions in neural networks: insights from statistical physics
by: Malatesta, Enrico M.
Published: (2023)
by: Malatesta, Enrico M.
Published: (2023)
Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches
by: Zambon, Alessandro, et al.
Published: (2026)
by: Zambon, Alessandro, et al.
Published: (2026)
Kernel Density Estimators in Large Dimensions
by: Biroli, Giulio, et al.
Published: (2024)
by: Biroli, Giulio, et al.
Published: (2024)
Training neural networks with structured noise improves classification and generalization
by: Benedetti, Marco, et al.
Published: (2023)
by: Benedetti, Marco, et al.
Published: (2023)
Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
by: Bonnaire, Tony, et al.
Published: (2025)
by: Bonnaire, Tony, et al.
Published: (2025)
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
by: Annesi, Brandon L., et al.
Published: (2024)
by: Annesi, Brandon L., et al.
Published: (2024)
Random Features Hopfield Networks generalize retrieval to previously unseen examples
by: Kalaj, Silvio, et al.
Published: (2024)
by: Kalaj, Silvio, et al.
Published: (2024)
Rare Trajectories in a Prototypical Mean-field Disordered Model: Insights into Landscape and Instantons
by: Charbonneau, Patrick, et al.
Published: (2025)
by: Charbonneau, Patrick, 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)
On the Atypical Solutions of the Symmetric Binary Perceptron
by: Barbier, Damien, et al.
Published: (2023)
by: Barbier, Damien, et al.
Published: (2023)
Storage Capacity Evaluation of the Quantum Perceptron using the Replica Method
by: Urushibata, Mitsuru, et al.
Published: (2024)
by: Urushibata, Mitsuru, et al.
Published: (2024)
Biased Generalization in Diffusion Models
by: Garnier-Brun, Jerome, et al.
Published: (2026)
by: Garnier-Brun, Jerome, et al.
Published: (2026)
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)
Inferring Concepts from Noisy Examples in Hopfield-like Neural Networks
by: Benedetti, Marco, et al.
Published: (2026)
by: Benedetti, Marco, et al.
Published: (2026)
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
by: Patel, Nishil, et al.
Published: (2023)
by: Patel, Nishil, et al.
Published: (2023)
The Symmetric Perceptron: a Teacher-Student Scenario
by: Catania, Giovanni, et al.
Published: (2026)
by: Catania, Giovanni, et al.
Published: (2026)
Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
by: Mergny, Pierre, et al.
Published: (2025)
by: Mergny, Pierre, et al.
Published: (2025)
Overlap locking and non-perturbative effects in spin glasses
by: Franz, Silvio, et al.
Published: (2026)
by: Franz, Silvio, et al.
Published: (2026)
Generalization performance of narrow one-hidden layer networks in the teacher-student setting
by: Ortiz, Rodrigo Pérez, et al.
Published: (2025)
by: Ortiz, Rodrigo Pérez, et al.
Published: (2025)
Gaussian Universality of Perceptrons with Random Labels
by: Gerace, Federica, et al.
Published: (2022)
by: Gerace, Federica, et al.
Published: (2022)
The Copycat Perceptron: Smashing Barriers Through Collective Learning
by: Catania, Giovanni, et al.
Published: (2023)
by: Catania, Giovanni, et al.
Published: (2023)
Computational Thresholds in Multi-Modal Learning via the Spiked Matrix-Tensor Model
by: Tabanelli, Hugo, et al.
Published: (2025)
by: Tabanelli, Hugo, et al.
Published: (2025)
Percolation and Threshold-like Behavior in Multiple Sclerosis Progression
by: Mirkov, Nikola, et al.
Published: (2026)
by: Mirkov, Nikola, et al.
Published: (2026)
Beyond dynamic scaling: rare events break universality
by: Marquis, Ulysse, et al.
Published: (2026)
by: Marquis, Ulysse, et al.
Published: (2026)
The Overlap Gap Property limits limit swapping in the QAOA
by: Goh, Mark
Published: (2024)
by: Goh, Mark
Published: (2024)
Smoothed-Cubic Spin-Glass Model of Random Lasers
by: Benedetti, Marcello, et al.
Published: (2025)
by: Benedetti, Marcello, et al.
Published: (2025)
Polychronous Wave Computing: Timing-Native Address Selection in Spiking Networks
by: Berloff, Natalila G.
Published: (2026)
by: Berloff, Natalila G.
Published: (2026)
Red shift of the superconductivity cavity resonance in Josephson junction qubits as a direct signature of TLS population inversion
by: Burin, Alexander L., et al.
Published: (2024)
by: Burin, Alexander L., et al.
Published: (2024)
Similar Items
-
Are Neural Networks Collision Resistant?
by: Benedetti, Marco, et al.
Published: (2025) -
Properties of the geometry of solutions and capacity of multi-layer neural networks with Rectified Linear Units activations
by: Baldassi, Carlo, et al.
Published: (2019) -
Sampling the space of solutions of an artificial neural network
by: Zambon, Alessandro, et al.
Published: (2025) -
Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
by: Badalotti, Davide, et al.
Published: (2025) -
Impact of dendritic non-linearities on the computational capabilities of neurons
by: Lauditi, Clarissa, et al.
Published: (2024)