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M

Mikhail Belkin

university of california san diego

36H指数
234论文数
2.3W被引数
收录论文 11
发表时间
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Toward universal steering and monitoring of AI models迈向AI模型的通用引导与监控
errScience
IF45.8
err2026-02-19
err0
PREAI
errDaniel Beaglehole; Adityanarayanan Radhakrishnan; Enric Boix-Adserà; Mikhail Belkin
err分享
err收藏
Assembly and iteration: transition to linearity of wide neural networks组装与迭代：宽神经网络向线性过渡
errApplied and Computational Harmonic Analysis
IF3.2
err2025-12-08
err0
PREAI
errChaoyue Liu; Libin Zhu; Mikhail Belkin
err分享
err收藏
Linear Recursive Feature Machines provably recover low-rank matrices线性递归特征机可证明能够恢复低秩矩阵
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2025-03-28
err0
errOAAI
errRadhakrishnan, Adityanarayanan; Belkin, Mikhail; Drusvyatskiy, Dmitriy
err分享
err收藏
Wide and deep neural networks achieve consistency for classification宽神经网络和深神经网络实现分类的一致性
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2023-03-30
err11
errOAAI
errRadhakrishnan, Adityanarayanan; Belkin, Mikhail; Uhler, Caroline
err分享
err收藏
Simple, fast, and flexible framework for matrix completion with infinite width neural networks
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2022-04-11
err12
errOAAI
errRadhakrishnan, Adityanarayanan; Stefanakis, George; Belkin, Mikhail; Uhler, Caroline
err分享
err收藏
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
errACTA NUMERICA
IF11.3
err2021-08-04
err74
errOAAI
errBelkin, Mikhail
err分享
err收藏
Overparameterized neural networks implement associative memory
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2020-10-16
err37
errOAAI
errRadhakrishnan, Adityanarayanan; Belkin, Mikhail; Uhler, Caroline
err分享
err收藏
REPLY TO LOOG ET AL.: Looking beyond the peaking phenomenon
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2020-05-05
err4
errOAAI
errBelkin, Mikhail; Hsu, Daniel; Ma, Siyuan; Mandal, Soumik
err分享
err收藏
Reconciling modern machine-learning practice and the classical bias-variance trade-off
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2019-07-24
err909
errOAAI
errBelkin, Mikhail; Hsu, Daniel; Ma, Siyuan; Mandal, Soumik
err分享
err收藏
Robust features for the automatic identification of autism spectrum disorder in children
errJOURNAL OF NEURODEVELOPMENTAL DISORDERS
IF4
err2014-05-23
err41
errOAAI
errEldridge, Justin; Lane, Alison E.; Belkin, Mikhail; Dennis, Simon
err分享
err收藏
Semi-supervised learning on Riemannian manifolds黎曼流形上的半监督学习
errMACHINE LEARNING
IF2.9
err2004-07-01
err586
errOAAI
errBelkin, M; Niyogi, P
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
P
Partha Niyogi
H 指数: 49 · 论文数: 145
D
Daniel Hsu
H 指数: 49 · 论文数: 232
S
Simon Dennis
H 指数: 33 · 论文数: 225
S
Siyuan Ma
H 指数: 32 · 论文数: 129
C
Caroline Uhler
H 指数: 29 · 论文数: 227
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