Theo dõi
Pratik Chaudhari
Pratik Chaudhari
University of Pennsylvania
Email được xác minh tại seas.upenn.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
8672019
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
8672017
A Baseline for Few-Shot Image Classification
GS Dhillon, P Chaudhari, A Ravichandran, S Soatto
ICLR, arXiv:1909.02729, 2020
7242020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
P Chaudhari, S Soatto
ICLR, arXiv:1710.11029, 2018
3632018
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
ICLR, arXiv:1910.00125, 2020
1862020
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
1802018
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
1742020
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
1132013
Model Zoo: A Growing "Brain" That Learns Continually
R Ramesh, P Chaudhari
ICLR, arXiv:2106.03027, 2022
762022
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
UAI, arXiv:1905.01756, 2019
692019
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
672020
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
632021
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
592023
BayesRace: Learning to race autonomously using prior experience
A Jain, P Chaudhari, M Morari
CoRL, arXiv:2005.04755, 2020
482020
Scalable Reinforcement Learning Policies for Multi-Agent Control
CD Hsu, H Jeong, GJ Pappas, P Chaudhari
IROS, arXiv:2011.08055, 2021
402021
On the energy landscape of deep networks
P Chaudhari, S Soatto
ICML Workshop on Optimization in Machine Learning, 2016
39*2016
Harmonization with Flow-based Causal Inference
R Wang, P Chaudhari, C Davatzikos
MICCAI, arXiv:2106.06845, 2021
382021
Sampling-based algorithms for continuous-time POMDPs
P Chaudhari, S Karaman, D Hsu, E Frazzoli
ACC, 4604-4610, 2013
372013
Continuous Doubly Constrained Batch Reinforcement Learning
R Fakoor, K Asadi, J Mueller, P Chaudhari, AJ Smola
NeurIPS, arXiv:2102.09225, 2021
362021
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
312014
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