Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit
Fuente:
arXiv
Saved in:
| Main Authors: | Baglioni, P., Pacelli, R., Aiudi, R., Di Renzo, F., Vezzani, A., Burioni, R., Rotondo, P. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks
by: Baglioni, P., et al.
Published: (2024)
by: Baglioni, P., et al.
Published: (2024)
Statistical mechanics of transfer learning in fully-connected networks in the proportional limit
by: Ingrosso, Alessandro, et al.
Published: (2024)
by: Ingrosso, Alessandro, et al.
Published: (2024)
Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
by: Baglioni, Paolo, et al.
Published: (2026)
by: Baglioni, Paolo, et al.
Published: (2026)
Microscopic and collective signatures of feature learning in neural networks
by: Corti, Andrea, et al.
Published: (2025)
by: Corti, Andrea, et al.
Published: (2025)
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
by: Pacelli, R., et al.
Published: (2022)
by: Pacelli, R., et al.
Published: (2022)
Unveiling the Dimensionality of Networks of Networks
by: Grimaldi, Lorenzo, et al.
Published: (2025)
by: Grimaldi, Lorenzo, et al.
Published: (2025)
Banded non-Hermitian random matrices, neural networks, and eigenvalue degeneracies
by: Huang, Richard, et al.
Published: (2026)
by: Huang, Richard, et al.
Published: (2026)
Information content in continuous attractor neural networks is preserved in the presence of moderate disordered background connectivity
by: Kühn, Tobias, et al.
Published: (2023)
by: Kühn, Tobias, et al.
Published: (2023)
Chimera states in neural networks and power systems
by: Deng, Shengfeng, et al.
Published: (2023)
by: Deng, Shengfeng, et al.
Published: (2023)
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)
Sampling the space of solutions of an artificial neural network
by: Zambon, Alessandro, et al.
Published: (2025)
by: Zambon, Alessandro, et al.
Published: (2025)
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation
by: Gross, Markus, et al.
Published: (2023)
by: Gross, Markus, et al.
Published: (2023)
A solvable model of noisy coupled oscillators with fully random interactions
by: Ikeda, Harukuni
Published: (2026)
by: Ikeda, Harukuni
Published: (2026)
The dynamics of neural codes in biological and artificial neural networks
by: Morales, Guillermo B.
Published: (2024)
by: Morales, Guillermo B.
Published: (2024)
Exact numerical solution of the fully-connected classical and quantum Heisenberg spin glass
by: Kavokine, Nikita, et al.
Published: (2023)
by: Kavokine, Nikita, et al.
Published: (2023)
Application of deep neural networks for computing the renormalization group flow of the two-dimensional phi^4 field theory
by: Zhao, Yueqi, et al.
Published: (2025)
by: Zhao, Yueqi, et al.
Published: (2025)
Networks of neural networks: more is different
by: Agliari, Elena, et al.
Published: (2025)
by: Agliari, Elena, et al.
Published: (2025)
Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
by: Nishiyama, Sota, et al.
Published: (2024)
by: Nishiyama, Sota, et al.
Published: (2024)
Measurement-induced phase transitions in quantum inference problems and quantum hidden Markov models
by: Kim, Sun Woo P., et al.
Published: (2025)
by: Kim, Sun Woo P., et al.
Published: (2025)
Exploring the role of connectivity in disordered system
by: Daimari, Anjan, et al.
Published: (2026)
by: Daimari, Anjan, et al.
Published: (2026)
Generalized Wilson-Cowan model with short term synaptic plasticity
by: Trabocchi, Tommaso, et al.
Published: (2025)
by: Trabocchi, Tommaso, et al.
Published: (2025)
Statistical mechanics of extensive-width Bayesian neural networks near interpolation
by: Barbier, Jean, et al.
Published: (2025)
by: Barbier, Jean, et al.
Published: (2025)
Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings
by: Zou, Wenxuan, et al.
Published: (2023)
by: Zou, Wenxuan, et al.
Published: (2023)
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
by: Marino, Raffaele, et al.
Published: (2023)
by: Marino, Raffaele, et al.
Published: (2023)
The committee machine: Computational to statistical gaps in learning a two-layers neural network
by: Aubin, Benjamin, et al.
Published: (2018)
by: Aubin, Benjamin, et al.
Published: (2018)
Coding schemes in neural networks learning classification tasks
by: van Meegen, Alexander, et al.
Published: (2024)
by: van Meegen, Alexander, et al.
Published: (2024)
Pruning-induced phases in fully-connected neural networks: the eumentia, the dementia, and the amentia
by: Pan, Haining, et al.
Published: (2026)
by: Pan, Haining, et al.
Published: (2026)
The quest for new materials: the network theory and machine learning perspectives
by: Moi, Jacopo, et al.
Published: (2025)
by: Moi, Jacopo, et al.
Published: (2025)
Bethe $M$-layer construction for the percolation problem
by: Angelini, Maria Chiara, et al.
Published: (2024)
by: Angelini, Maria Chiara, et al.
Published: (2024)
Thermodynamic Curvature and the Widom Ridge in Interacting Spin Systems
by: Bittner, Eric R.
Published: (2026)
by: Bittner, Eric R.
Published: (2026)
Full distribution of the ground-state energy of potentials with weak disorder
by: Smith, Naftali R.
Published: (2024)
by: Smith, Naftali R.
Published: (2024)
The geometry and dynamics of annealed optimization in the coherent Ising machine with hidden and planted solutions
by: Ghimenti, Federico, et al.
Published: (2025)
by: Ghimenti, Federico, et al.
Published: (2025)
Synaptic plasticity alters the nature of chaos transition in neural networks
by: Du, Wenkang, et al.
Published: (2024)
by: Du, Wenkang, et al.
Published: (2024)
Glassy dynamics in deep neural networks: A structural comparison
by: Winter, Max Kerr, et al.
Published: (2024)
by: Winter, Max Kerr, et al.
Published: (2024)
Spring-block theory of feature learning in deep neural networks
by: Shi, Cheng, et al.
Published: (2024)
by: Shi, Cheng, et al.
Published: (2024)
Finding the right path: statistical mechanics of connected solutions in constraint satisfaction problems
by: Barbier, Damien
Published: (2025)
by: Barbier, Damien
Published: (2025)
On the role of non-linear latent features in bipartite generative neural networks
by: Bonnaire, Tony, et al.
Published: (2025)
by: Bonnaire, Tony, et al.
Published: (2025)
On the structure factor of jammed particle configurations on the one-dimensional lattice
by: Luck, Jean-Marc
Published: (2023)
by: Luck, Jean-Marc
Published: (2023)
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)
Structural coarse-graining enables noise-robust functional connectivity and reveals hidden inter-subject variability
by: Fernandez-Iriondo, Izaro, et al.
Published: (2026)
by: Fernandez-Iriondo, Izaro, et al.
Published: (2026)
Similar Items
-
Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks
by: Baglioni, P., et al.
Published: (2024) -
Statistical mechanics of transfer learning in fully-connected networks in the proportional limit
by: Ingrosso, Alessandro, et al.
Published: (2024) -
Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
by: Baglioni, Paolo, et al.
Published: (2026) -
Microscopic and collective signatures of feature learning in neural networks
by: Corti, Andrea, et al.
Published: (2025) -
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
by: Pacelli, R., et al.
Published: (2022)