Pratik Chaudhari

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Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Alex SmolaBoson AIVerified email at smola.org
Rasool FakoorAmazon Web ServicesVerified email at amazon.com
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
Rongguang WangUniversity of PennsylvaniaVerified email at seas.upenn.edu
Emilio FrazzoliProfessor of Dynamic Systems and ControlVerified email at ethz.ch
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Rahul RameshUniversity of PennsylvaniaVerified email at seas.upenn.edu
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
Riccardo Zecchinaprofessor, theoretical physics, Bocconi UniversityVerified email at unibocconi.it
Carlo BaldassiBocconi University; ELLIS scholarVerified email at unibocconi.it
Aston ZhangLlama team, MetaVerified email at meta.com
Mu LiAmazonVerified email at amazon.com
Adam M. ObermanProfessor, Department of Mathematics and Statistics, McGill UniversityVerified email at mcgill.ca
Anna ChoromanskaNew York UniversityVerified email at nyu.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Levent SagunFAIRVerified email at meta.com
Jennifer ChayesProfessor, UC BerkeleyVerified email at jenniferchayes.com
Christian BorgsProfessor, UC BerkeleyVerified email at christianborgs.com
Jonas MuellerCleanlabVerified email at csail.mit.edu

Pratik Chaudhari

University of Pennsylvania

Verified email at seas.upenn.edu - Homepage

Deep Learning Machine Learning Robotics


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Dive into deep learning A Zhang, Z Lipton, Li, Mu, AJ Smola, P Chaudhari, R Fakoor, K Asadi, ...	1166	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	839	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	839	2017
A Baseline for Few-Shot Image Classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto ICLR, arXiv:1909.02729, 2020	708	2020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks P Chaudhari, S Soatto ICLR, arXiv:1710.11029, 2018	358	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	182	2018
Meta-Q-Learning R Fakoor, P Chaudhari, S Soatto, AJ Smola ICLR, arXiv:1910.00125, 2020	177	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	163	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	111	2013
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	79	2023
Model Zoo: A Growing "Brain" That Learns Continually R Ramesh, P Chaudhari ICLR, arXiv:2106.03027, 2022	73	2022
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	62	2020
P3O: Policy-on Policy-off Policy Optimization R Fakoor, P Chaudhari, AJ Smola UAI, arXiv:1905.01756, 2019	62	2019
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	58	2021
BayesRace: Learning to race autonomously using prior experience A Jain, P Chaudhari, M Morari CoRL, arXiv:2005.04755, 2020	40	2020
Sampling-based algorithms for continuous-time POMDPs P Chaudhari, S Karaman, D Hsu, E Frazzoli ACC, 4604-4610, 2013	38	2013
On the energy landscape of deep networks P Chaudhari, S Soatto ICML Workshop on Optimization in Machine Learning, 2016	36*	2016
Harmonization with Flow-based Causal Inference R Wang, P Chaudhari, C Davatzikos MICCAI, arXiv:2106.06845, 2021	35	2021
Scalable Reinforcement Learning Policies for Multi-Agent Control CD Hsu, H Jeong, GJ Pappas, P Chaudhari IROS, arXiv:2011.08055, 2021	35	2021
Continuous Doubly Constrained Batch Reinforcement Learning R Fakoor, K Asadi, J Mueller, P Chaudhari, AJ Smola NeurIPS, arXiv:2102.09225, 2021	34	2021

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