Pratik Chaudhari 个人学术档案

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Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AI在 ucla.edu 的电子邮件经过验证
Alex SmolaBoson AI在 smola.org 的电子邮件经过验证
Rasool FakoorAmazon Web Services在 amazon.com 的电子邮件经过验证
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEI在 pennmedicine.upenn.edu 的电子邮件经过验证
Emilio FrazzoliProfessor of Dynamic Systems and Control在 ethz.ch 的电子邮件经过验证
Rongguang WangUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge在 cmu.edu 的电子邮件经过验证
Riccardo Zecchinaprofessor, theoretical physics, Bocconi University在 unibocconi.it 的电子邮件经过验证
Carlo BaldassiBocconi University; ELLIS scholar在 unibocconi.it 的电子邮件经过验证
Avinash RavichandranPrincipal Applied Scientist, Perception, Cruise在 cis.jhu.edu 的电子邮件经过验证
Rahul RameshUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Aston ZhangLlama team, Meta在 meta.com 的电子邮件经过验证
Mu LiAmazon在 amazon.com 的电子邮件经过验证
Adam M. ObermanProfessor, Department of Mathematics and Statistics, McGill University在 mcgill.ca 的电子邮件经过验证
Anna ChoromanskaNew York University在 nyu.edu 的电子邮件经过验证
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York University在 cs.nyu.edu 的电子邮件经过验证
Levent SagunFAIR在 meta.com 的电子邮件经过验证
Jennifer ChayesProfessor, UC Berkeley在 jenniferchayes.com 的电子邮件经过验证
Christian BorgsProfessor, UC Berkeley在 christianborgs.com 的电子邮件经过验证
Jonas MuellerCleanlab在 csail.mit.edu 的电子邮件经过验证

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Pratik Chaudhari

University of Pennsylvania

在 seas.upenn.edu 的电子邮件经过验证 - 首页

Deep Learning Machine Learning Robotics Computer Vision


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Dive into deep learning A Zhang, Z Lipton, Li, Mu, AJ Smola	1050	2021
Entropy-SGD: Biasing gradient descent into wide valleys P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ... Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124018, 2019	791	2019
Entropy-SGD: biasing gradient descent into wide valleys P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ... ICLR, arXiv:1611.01838, 2017	791	2017
A Baseline for Few-Shot Image Classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto ICLR, arXiv:1909.02729, 2020	644	2020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks P Chaudhari, S Soatto ICLR, arXiv:1710.11029, 2018	337	2018
Deep relaxation: partial differential equations for optimizing deep neural networks P Chaudhari, A Oberman, S Osher, S Soatto, G Carlier Research in the Mathematical Sciences 5, 1-30, 2018	173	2018
Meta-Q-Learning R Fakoor, P Chaudhari, S Soatto, AJ Smola ICLR, arXiv:1910.00125, 2020	159	2020
Rethinking the Hyperparameters for Fine-tuning H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto ICLR, arXiv:2002.11770, 2020	132	2020
Incremental sampling-based algorithm for minimum-violation motion planning LIR Castro, P Chaudhari, J Tůmová, S Karaman, E Frazzoli, D Rus CDC, 3217-3224, 2013	105	2013
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation R Fakoor, J Mueller, N Erickson, P Chaudhari, AJ Smola NeurIPS, arXiv:2006.14284, 2020	56	2020
P3O: Policy-on Policy-off Policy Optimization R Fakoor, P Chaudhari, AJ Smola UAI, arXiv:1905.01756, 2019	56	2019
Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies R Wang, P Chaudhari, C Davatzikos Proceedings of the National Academy of Sciences 120 (6), e2211613120, 2023	53	2023
Model Zoo: A Growing "Brain" That Learns Continually R Ramesh, P Chaudhari ICLR, arXiv:2106.03027, 2022	49	2022
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation R Wang, P Chaudhari, C Davatzikos Medical Image Analysis, arXiv:2103.12857, 2021	43	2021
Sampling-based algorithms for continuous-time POMDPs P Chaudhari, S Karaman, D Hsu, E Frazzoli ACC, 4604-4610, 2013	38	2013
BayesRace: Learning to race autonomously using prior experience A Jain, P Chaudhari, M Morari CoRL, arXiv:2005.04755, 2020	36	2020
On the energy landscape of deep networks P Chaudhari, S Soatto ICML Workshop on Optimization in Machine Learning, 2016	33*	2016
Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms M Zhu, M Otte, P Chaudhari, E Frazzoli ICRA, 1646-1651, 2014	29	2014
Continuous Doubly Constrained Batch Reinforcement Learning R Fakoor, K Asadi, J Mueller, P Chaudhari, AJ Smola NeurIPS, arXiv:2102.09225, 2021	28	2021
Parle: parallelizing stochastic gradient descent P Chaudhari, C Baldassi, R Zecchina, S Soatto, A Talwalkar, A Oberman SysML, arXiv:1707.00424, 2018	26	2018

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