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Mikhail Belkin

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 26, 2019
Back to the Future: Radial Basis Function Network RevisitedQichao Que, Mikhail Belkin
Proceedings 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 Uhler
Proceedings 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 Uhler
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 Drusvyatskiy
Science (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.
Proceedings of the National Academy of Sciences of the United States of America|May 7, 2020
Reply to Loog et al.: Looking beyond the peaking phenomenonMikhail Belkin, Daniel Hsu, Siyuan Ma, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 26, 2019
Reconciling modern machine-learning practice and the classical bias-variance trade-offMikhail Belkin, Daniel Hsu, Siyuan Ma, et al.
Journal of Neurodevelopmental Disorders|June 18, 2014
Robust features for the automatic identification of autism spectrum disorder in childrenJustin Eldridge, Alison E Lane, 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.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 26, 2019
Back to the Future: Radial Basis Function Network RevisitedQichao Que, Mikhail Belkin
Proceedings 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 Uhler
Proceedings 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 Uhler
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 Drusvyatskiy
Science (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.
Proceedings of the National Academy of Sciences of the United States of America|May 7, 2020
Reply to Loog et al.: Looking beyond the peaking phenomenonMikhail Belkin, Daniel Hsu, Siyuan Ma, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 26, 2019
Reconciling modern machine-learning practice and the classical bias-variance trade-offMikhail Belkin, Daniel Hsu, Siyuan Ma, et al.
Journal of Neurodevelopmental Disorders|June 18, 2014
Robust features for the automatic identification of autism spectrum disorder in childrenJustin Eldridge, Alison E Lane, 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.
Pageof 2