Expand-and-Cluster: Parameter Recovery of Neural Networks

Expand-and-Cluster: Parameter Recovery of Neural Networks

25 April 2023

Flavio Martinelli

Papers citing "Expand-and-Cluster: Parameter Recovery of Neural Networks"

10 / 10 papers shown

Title
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 66 1 0 08 Mar 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 44 0 0 13 Nov 2024
Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting Nicholas Carlini J. Chávez-Saab Anna Hambitzer Francisco Rodríguez-Henríquez Adi Shamir AAML 27 1 0 08 Oct 2024
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 45 31 0 13 Mar 2023
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 125 318 0 21 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 314 0 11 Sep 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 144 661 0 28 Dec 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 72 134 0 10 Mar 2020
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 59 118 0 02 May 2018