The Principles of Deep Learning Theory

18 June 2021

Papers citing "The Principles of Deep Learning Theory"

6 / 6 papers shown

Title
Plane-Wave Decomposition and Randomised Training; a Novel Path to Generalised PINNs for SHM Rory Clements James Ellis Geoff Hassall Simon Horsley Gavin Tabor 78 0 0 31 Mar 2025
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Dayal Singh Kalra Tianyu He M. Barkeshli 86 4 0 17 Feb 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon Cengiz Pehlevan AI4CE 116 1 0 04 Feb 2025
Merino: Entropy-driven Design for Generative Language Models on IoT Devices Youpeng Zhao Ming Lin Huadong Tang Qiang Wu Jun Wang 98 0 0 28 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 52 2 0 20 Jan 2025
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 77 1 0 27 May 2024