Image de couverture de livre

How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Jonathan, Desai, Aman, Barrows, Frank, Caravelli, Francesco
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Disordered Systems and Neural Networks Mesoscale and Nanoscale Physics Soft Condensed Matter Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-Organising Memristive Networks as Physical Learning Systems
par: Caravelli, Francesco, et autres
Publié: (2025)

Training and synchronizing oscillator networks with Equilibrium Propagation
par: Rageau, Théophile, et autres
Publié: (2025)

Interplay between aging and rejuvenation in spin glasses
par: Freedberg, J., et autres
Publié: (2024)

Memory and Rejuvenation in Glassy Systems
par: Freedberg, J., et autres
Publié: (2023)

Stealthy-Hyperuniform Wave Dynamics in Two-Dimensional Photonic Crystals
par: Barsukova, Maria, et autres
Publié: (2025)

Hyperuniform Disorder in Photonic Crystal Slabs with Intrinsic non-Hermiticity
par: Zhang, Zeyu, et autres
Publié: (2026)

Equilibrium Propagation for Dissipative Dynamics
par: Berneman, Marc, et autres
Publié: (2025)

Pseudoperiodic Spherical Boundary Conditions: Efficient And Isotropic 3D Particle Simulations Without Lattice Artifacts
par: Dedola, Manuel, et autres
Publié: (2025)

Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
par: Wang, Qingshan, et autres
Publié: (2024)

Thermal signature of helical molecule: Beyond nearest-neighbor electron hopping
par: Sarkar, Suparna, et autres
Publié: (2023)

Spotting structural defects in crystals from the topology of vibrational modes
par: Huang, Long-Zhou, et autres
Publié: (2024)

Experimental Data Confirm Carrier-Cascade Model for Solid-State Conductance across Proteins
par: Papp, Eszter, et autres
Publié: (2024)

Topological Defects in Amorphous Solids
par: Baggioli, Matteo, et autres
Publié: (2026)

Universal inverse-cube thickness scaling of projectile penetration energy in ultrathin films
par: Zaccone, Alessio, et autres
Publié: (2026)

True Solid-State Electrical Conduction of Proteins shows them to be Efficient Transport Media
par: Bera, Sudipta, et autres
Publié: (2025)

Learning the rules of peptide self-assembly through data mining with large language models
par: Yang, Zhenze, et autres
Publié: (2024)

Time-tronics: from temporal printed circuit board to quantum computer
par: Giergiel, Krzysztof, et autres
Publié: (2024)

Dynamic signature of the thermodynamic transition in a novel mean field system
par: Anwar, Ehtesham, et autres
Publié: (2025)

Defects induce phase transition from dynamic to static rippling in graphene
par: Thiemann, Fabian L., et autres
Publié: (2024)

General Two-Parameter Model of Alpha-Relaxation in Glasses
par: Ginzburg, Valeriy V., et autres
Publié: (2025)

A Non-Equilibrium Dissipation Parameter and the Ideal Glass
par: Jiang, Jun-Ying, et autres
Publié: (2025)

Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization
par: Wang, Richard Zhipeng, et autres
Publié: (2025)

Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms
par: Barrows, Frank, et autres
Publié: (2024)

Echo State and Band-pass Networks with aqueous memristors: leaky reservoir computing with a leaky substrate
par: Kamsma, T. M., et autres
Publié: (2025)

Training nonlinear optical neural networks with Scattering Backpropagation
par: Cin, Nicola Dal, et autres
Publié: (2025)

Training overdamped dynamics
par: Berneman, Marc, et autres
Publié: (2026)

Training cell stress patterns in 3D cellular packings
par: Ameen, Shabeeb, et autres
Publié: (2026)

Reprogrammable, in-materia matrix-vector multiplication with floppy modes
par: Louvet, Theophile, et autres
Publié: (2024)

Complexity and nonlinearity of colloid electrical transducers
par: Fortulan, Raphael, et autres
Publié: (2024)

Understanding and Embracing Imperfection in Physical Learning Networks
par: Dillavou, Sam, et autres
Publié: (2025)

Experimental Demonstration of Coupled Learning in Elastic Networks
par: Altman, Lauren E., et autres
Publié: (2023)

Origin of geometric cohesion in non-convex granular materials: interplay between interdigitation and rotational constraints enhancing frictional stability
par: Barés, Jonathan, et autres
Publié: (2026)

Griffiths-like region explains the dynamic anomaly in metallic glass-forming liquids
par: Ma, Lin, et autres
Publié: (2026)

Specific heat at low temperatures in quasiplanar molecular crystals: Where do glassy anomalies in minimally disordered crystals come from?
par: Szewczyk, Daria, et autres
Publié: (2024)

The 2/3 Rule of Glass Physics Implies Universalities in Crystal Melting
par: Lunkenheimer, Peter, et autres
Publié: (2025)

Coupling Light with Matter for Identifying Dominant Subnetworks
par: Kamaletdinov, Airat, et autres
Publié: (2024)

Investigating meV-scale Equilibrium Atomic Dynamics with X-Rays: focus on disordered materials
par: Baron, Alfred Q. R.
Publié: (2024)

Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations
par: Pezzicoli, Francesco Saverio, et autres
Publié: (2022)

Thermal activation drives a finite-size crossover from scale-free to runaway avalanches in amorphous solids
par: Rodriguez-Lopez, Gieberth, et autres
Publié: (2026)

Aging of colloidal gels in microgravity
par: Datta, Swagata S., et autres
Publié: (2025)