Showing results (1-10 of 26) with videos related to
Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|March 28, 2025
Linear Recursive Feature Machines provably recover low-rank matricesAdityanarayanan Radhakrishnan, Mikhail Belkin, Dmitriy DrusvyatskiyProceedings of the National Academy of Sciences of the United States of America|October 17, 2020
Overparameterized neural networks implement associative memoryAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline UhlerProceedings of the National Academy of Sciences of the United States of America|March 30, 2023
Wide and deep neural networks achieve consistency for classificationAdityanarayanan Radhakrishnan, Mikhail Belkin, Caroline UhlerScience (New York, N.Y.)|March 7, 2024
Mechanism for feature learning in neural networks and backpropagation-free machine learning modelsAdityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, et al.Proceedings of the National Academy of Sciences of the United States of America|April 12, 2022
Simple, fast, and flexible framework for matrix completion with infinite width neural networksAdityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, et al.Science (New York, N.Y.)|February 19, 2026
Toward universal steering and monitoring of AI modelsDaniel Beaglehole, Adityanarayanan Radhakrishnan, Enric Boix-Adserà, et al.Biorxiv : the Preprint Server for Biology|December 18, 2023
Synthetic Lethality Screening with Recursive Feature MachinesCathy Cai, Adityanarayanan Radhakrishnan, Caroline UhlerNature Communications|September 9, 2023
Transfer Learning with Kernel MethodsAdityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, et al.Proceedings of the National Academy of Sciences of the United States of America|August 20, 2025
Efficiently quantifying dependence in massive scientific datasets using InterDependence ScoresAdityanarayanan Radhakrishnan, Yajit Jain, Caroline Uhler, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|March 26, 2019
Back to the Future: Radial Basis Function Network RevisitedQichao Que, Mikhail BelkinPageof 3