Cover Image

Unified Description of Learning Dynamics in the Soft Committee Machine from Finite to Ultra-Wide Regimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Afanah, Assem, Rosenow, Bernd
Format:	Preprint
Published:	2025
Subjects:	Disordered Systems and Neural Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continuous Specialization Transition in the Soft Committee Machine with ReLU Activation
by: Afanah, Assem, et al.
Published: (2026)

BBP Phase Transition for an Extensive Number of Outliers
by: Forner, Niklas, et al.
Published: (2025)

Anti-Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances in Flat Directions
by: Kühn, Marcel, et al.
Published: (2023)

Boundary between noise and information applied to filtering neural network weight matrices
by: Staats, Max, et al.
Published: (2022)

A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification
by: Kühn, Marcel, et al.
Published: (2026)

Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
by: Staats, Max, et al.
Published: (2024)

Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
by: Staats, Max, et al.
Published: (2023)

Evidence of Scaling Regimes in the Hopfield Dynamics of Whole Brain Model
by: Gosti, Giorgio, et al.
Published: (2024)

Dynamical Regimes of Multimodal Diffusion Models
by: Albrychiewicz, Emil, et al.
Published: (2026)

Predicting the Mpemba Effect Using Machine Learning
by: Amorim, Felipe, et al.
Published: (2022)

Universal Spin Models are Universal Approximators in Machine Learning
by: Reinhart, Tobias, et al.
Published: (2025)

Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
by: Avidan, Yehonatan, et al.
Published: (2023)

Soft modes in vector spin glass models on sparse random graphs
by: Franz, Silvio, et al.
Published: (2024)

Machine Learning of Topological Insulator and Anderson Insulator in One-Dimensional Extended Su-Schrieffer-Heeger Chain
by: Yin, Zhekai, et al.
Published: (2026)

Unlearning regularization for Boltzmann Machines
by: Ventura, Enrico, et al.
Published: (2023)

Glassy Dynamics from First-Principles Simulations
by: Pabst, Florian, et al.
Published: (2024)

Disordered Dynamics in High Dimensions: Connections to Random Matrices and Machine Learning
by: Bordelon, Blake, et al.
Published: (2026)

Machine learning of phases and structures for model systems in physics
by: Bayo, Djenabou, et al.
Published: (2024)

Unified one-parameter scaling function for Anderson localization transitions in non-reciprocal non-Hermitian systems
by: Wang, C., et al.
Published: (2024)

Diffusion, Long-Time Tails, and Localization in Classical and Quantum Lorentz Models: A Unifying Hydrodynamic Approach
by: Kirkpatrick, T. R., et al.
Published: (2024)

How to Train an Oscillator Ising Machine using Equilibrium Propagation
by: Gower, Alex
Published: (2025)

Dynamical Properties of Dense Associative Memory
by: Mimura, Kazushi, et al.
Published: (2025)

Why is the Dynamics of Glasses Super-Arrhenius?
by: Bouchaud, Jean-Philippe
Published: (2024)

Dynamics of spin glasses in two dimensions
by: Li, Hongze, et al.
Published: (2026)

Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory
by: Nishiyama, Sota, et al.
Published: (2025)

Dynamical systems on ultra small-world networks
by: Patil, Nirbhay, et al.
Published: (2026)

Dynamical Phase Transitions in Graph Cellular Automata
by: Behrens, Freya, et al.
Published: (2023)

Graph-Dynamics correspondence in metallic glass-forming liquids
by: Zhou, Xin-Jia, et al.
Published: (2025)

Dynamical fluctuations of random walks in higher-order networks
by: Di Gaetano, Leonardo, et al.
Published: (2023)

Dynamic Mean-Field Theory for Continuous Random Networks
by: Zúñiga-Galindo, W. A.
Published: (2024)

Scaling of Static and Dynamical Properties of Random Anisotropy Magnets
by: Garanin, Dmitry A., et al.
Published: (2024)

Fermionic Machine Learning
by: Gince, Jérémie, et al.
Published: (2024)

Sparse Interactions Reshape Stability in Random Lotka-Volterra Dynamics
by: Tarabolo, Mattia, et al.
Published: (2025)

The Cavity Approach to Parallel Dynamics of Ising Spins on a Graph
by: Neri, I., et al.
Published: (2009)

Dynamical localization and slow dynamics in quasiperiodically-driven quantum systems
by: Tiwari, Vatsana, et al.
Published: (2023)

Stochastic Dynamics of Skyrmions on a Racetrack: Impact of Equilibrium and Nonequilibrium Noise
by: Hlushchenko, Anton V., et al.
Published: (2025)

Dynamical detection of extended nonergodic states in many-body quantum systems
by: Zarate-Herrada, David A., et al.
Published: (2025)

Graph-Based Feature Engineering to Predict the Dynamical Properties of Condensed Matter
by: Wang, An, et al.
Published: (2024)

Anisotropic Crystallization Kinetics and Interfacial Dynamics of Phase-Change Material Sb$_2$S$_3$ from Machine Learning Force Field Simulations
by: Chakraborty, Souvik, et al.
Published: (2026)

An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory
by: Li, Sai, et al.
Published: (2025)