Pratik Chaudhari

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Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIDirección de correo verificada de ucla.edu
Alex SmolaBoson AIDirección de correo verificada de smola.org
Rasool FakoorAmazon Web ServicesDirección de correo verificada de amazon.com
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIDirección de correo verificada de pennmedicine.upenn.edu
Rongguang WangUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Emilio FrazzoliProfessor of Dynamic Systems and ControlDirección de correo verificada de ethz.ch
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeDirección de correo verificada de cmu.edu
Rahul RameshUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Riccardo Zecchinaprofessor, theoretical physics, Bocconi UniversityDirección de correo verificada de unibocconi.it
Carlo BaldassiBocconi University; ELLIS scholarDirección de correo verificada de unibocconi.it
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseDirección de correo verificada de cis.jhu.edu
Aston ZhangLlama team, MetaDirección de correo verificada de meta.com
Mu LiAmazonDirección de correo verificada de amazon.com
Adam M. ObermanProfessor, Department of Mathematics and Statistics, McGill UniversityDirección de correo verificada de mcgill.ca
Anna ChoromanskaNew York UniversityDirección de correo verificada de nyu.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityDirección de correo verificada de cs.nyu.edu
Levent SagunFAIRDirección de correo verificada de meta.com
Jennifer ChayesProfessor, UC BerkeleyDirección de correo verificada de jenniferchayes.com
Christian BorgsProfessor, UC BerkeleyDirección de correo verificada de christianborgs.com
Jonas MuellerCleanlabDirección de correo verificada de csail.mit.edu

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Pratik Chaudhari

University of Pennsylvania

Dirección de correo verificada de seas.upenn.edu - Página principal

Deep Learning Machine Learning Robotics Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Dive into deep learning A Zhang, Z Lipton, Li, Mu, AJ Smola	1122	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	824	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	824	2017
A Baseline for Few-Shot Image Classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto ICLR, arXiv:1909.02729, 2020	689	2020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks P Chaudhari, S Soatto ICLR, arXiv:1710.11029, 2018	351	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	180	2018
Meta-Q-Learning R Fakoor, P Chaudhari, S Soatto, AJ Smola ICLR, arXiv:1910.00125, 2020	170	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	154	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	110	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	65	2023
Model Zoo: A Growing "Brain" That Learns Continually R Ramesh, P Chaudhari ICLR, arXiv:2106.03027, 2022	65	2022
P3O: Policy-on Policy-off Policy Optimization R Fakoor, P Chaudhari, AJ Smola UAI, arXiv:1905.01756, 2019	61	2019
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	60	2020
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	52	2021
BayesRace: Learning to race autonomously using prior experience A Jain, P Chaudhari, M Morari CoRL, arXiv:2005.04755, 2020	39	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	33	2021
Continuous Doubly Constrained Batch Reinforcement Learning R Fakoor, K Asadi, J Mueller, P Chaudhari, AJ Smola NeurIPS, arXiv:2102.09225, 2021	33	2021
Scalable Reinforcement Learning Policies for Multi-Agent Control CD Hsu, H Jeong, GJ Pappas, P Chaudhari IROS, arXiv:2011.08055, 2021	31	2021

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