:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Aldrigo, Riccardo, Menichetti, Roberto, Potestio, Raffaello
Format:	Preprint
Published:	2024
Subjects:	Disordered Systems and Neural Networks Computational Physics
Online Access:	https://arxiv.org/abs/2405.14531
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states
by: Liu, Zejun, et al.
Published: (2023)

Optimizing p-spin models through hypergraph neural networks and deep reinforcement learning
by: Zeng, Li, et al.
Published: (2026)

Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective
by: Terin, Rodrigo Carmo, et al.
Published: (2024)

Statistical physics for artificial neural networks
by: Pei, Zongrui
Published: (2025)

Critical feature learning in deep neural networks
by: Fischer, Kirsten, et al.
Published: (2024)

Beyond overcomplication: a linear model suffices to decode hidden structure-property relationships in glasses
by: Wang, Chenyan, et al.
Published: (2026)

Structure of activity in multiregion recurrent neural networks
by: Clark, David G., et al.
Published: (2024)

Are queries and keys always relevant? A case study on Transformer wave functions
by: Rende, Riccardo, et al.
Published: (2024)

The dimensionality of the Hopfield model
by: Erazo, Cristopher, et al.
Published: (2026)

DDNet: A Unified Physics-Informed Deep Learning Framework for Semiconductor Device Modeling
by: Riganti, Roberto, et al.
Published: (2025)

Efficiency of the hidden fermion determinant states Ansatz in the light of different complexity measures
by: Wurst, Björn J., et al.
Published: (2024)

Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
by: Kramp, Jakob, et al.
Published: (2026)

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)

Efficiency of neural-network state representations of one-dimensional quantum spin systems
by: Pan, Ruizhi, et al.
Published: (2023)

Adaptive-basis sample-based neural diagonalization for quantum many-body systems
by: Cantori, Simone, et al.
Published: (2025)

Solving combinatorial optimization problems through stochastic Landau-Lifshitz-Gilbert dynamical systems
by: Chen, Dairong, et al.
Published: (2024)

Instability of explicit time integration for strongly quenched dynamics with neural quantum states
by: Vrcan, Hrvoje, et al.
Published: (2025)

A note on the physical interpretation of neural PDE's
by: Succi, Sauro
Published: (2025)

Chimera states in neural networks and power systems
by: Deng, Shengfeng, et al.
Published: (2023)

Many-body mobility edges in one dimension revealed by efficient and interpretable feature-based learning with Kolmogorov-Arnold Networks
by: Dai, Siqi, et al.
Published: (2026)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model
by: Cybiński, Kacper, et al.
Published: (2024)

Ground state-based quantum feature maps
by: Umeano, Chukwudubem, et al.
Published: (2024)

Glassy dynamics in deep neural networks: A structural comparison
by: Winter, Max Kerr, et al.
Published: (2024)

On the interpretability of neural network decoders
by: Bödeker, Lukas, et al.
Published: (2025)

Measurement-induced phase transitions in quantum inference problems and quantum hidden Markov models
by: Kim, Sun Woo P., et al.
Published: (2025)

Generative random latent features models and statistics of natural images
by: Fleig, Philipp, et al.
Published: (2022)

Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025)

Bound on entanglement in neural quantum states
by: Paul, Nisarga
Published: (2025)

Microscopic and collective signatures of feature learning in neural networks
by: Corti, Andrea, et al.
Published: (2025)

Quantum diffusion in the Harper model under polychromatic time-perturbation
by: Yamada, Hiroaki S., et al.
Published: (2025)

AiiDA-TrainsPot: Towards automated training of neural-network interatomic potentials
by: Bidoggia, Davide, et al.
Published: (2025)

The thermodynamic limit in mean field neural networks
by: Agliari, Elena, et al.
Published: (2024)

Adiabatic transport of neural network quantum states
by: Medvidović, Matija, et al.
Published: (2025)

Explaining the Machine Learning Solution of the Ising Model
by: Alamino, Roberto C.
Published: (2024)

Time-translation invariance symmetry breaking hidden by finite-scale singularities
by: Achitouv, Ixandra, et al.
Published: (2024)

Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
by: Dao, H. L.
Published: (2025)

Equivariant graph neural network interatomic potential for Green-Kubo thermal conductivity in phase change materials
by: Lee, Sung-Ho, et al.
Published: (2023)

A spectral approach to Hebbian-like neural networks
by: Agliari, Elena, et al.
Published: (2024)

Simplicity of mean-field theories in neural quantum states
by: Trigueros, Fabian Ballar, et al.
Published: (2023)

Optimal storage capacity of quantum Hopfield neural networks
by: Bödeker, Lukas, et al.
Published: (2022)