Pratik Chaudhari
Title
Cited by
Cited by
Year
Entropy-SGD: biasing gradient descent into wide valleys
P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ...
Proc. of the International Conference of Learning and Representations (ICLR …, 2016
3112016
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
P Chaudhari, S Soatto
Proc. of the International Conference of Learning and Representations (ICLR …, 2018
1322018
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 (3), 30, 2018
932018
Incremental sampling-based algorithm for minimum-violation motion planning
LIR Castro, P Chaudhari, J Tůmová, S Karaman, E Frazzoli, D Rus
52nd IEEE Conference on Decision and Control, 3217-3224, 2013
652013
A Baseline for Few-Shot Image Classification
GS Dhillon, P Chaudhari, A Ravichandran, S Soatto
Proc. of the International Conference of Learning and Representations (ICLR …, 2019
372019
Sampling-based algorithms for continuous-time POMDPs
P Chaudhari, S Karaman, D Hsu, E Frazzoli
2013 American Control Conference, 4604-4610, 2013
292013
On the energy landscape of deep networks
P Chaudhari, S Soatto
arXiv:1511.06485, 2015
21*2015
Parle: parallelizing stochastic gradient descent
P Chaudhari, C Baldassi, R Zecchina, S Soatto, A Talwalkar, A Oberman
Proc. of Conference on Systems and Machine Learning (SysML) 2018, arXiv …, 2017
182017
Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms
M Zhu, M Otte, P Chaudhari, E Frazzoli
2014 IEEE International Conference on Robotics and Automation (ICRA), 1646-1651, 2014
182014
Sampling-based algorithms for optimal motion planning using process algebra specifications
V Varricchio, P Chaudhari, E Frazzoli
2014 IEEE International Conference on Robotics and Automation (ICRA), 5326-5332, 2014
162014
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
Proc. of the International Conference of Learning and Representations (ICLR …, 2019
92019
Incremental minimum-violation control synthesis for robots interacting with external agents
P Chaudhari, T Wongpiromsarny, E Frazzoli
2014 American Control Conference, 1761-1768, 2014
92014
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
Proc. of the Conference on Uncertainty in Artificial Intelligence, arXiv …, 2019
72019
Sampling-based algorithm for filtering using Markov chain approximations
P Chaudhari, S Karaman, E Frazzoli
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5972-5978, 2012
72012
Rethinking the Hyperparameters for Fine-tuning
H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto
Proc. of the International Conference of Learning and Representations (ICLR …, 2020
52020
Directional adversarial training for cost sensitive deep learning classification applications
M Terzi, GA Susto, P Chaudhari
Engineering Applications of Artificial Intelligence 91, 103550, 2020
32020
TraDE: Transformers for Density Estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
32020
Localization using Average Landmark Vector in the presence of clutter
P Chaudhari
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009
22009
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
R Fakoor, J Mueller, N Erickson, P Chaudhari, AJ Smola
Proc. of the Conference on Neural Information Processing Systems (NeurIPS …, 2020
12020
BayesRace: Learning to race autonomously using prior experience
A Jain, P Chaudhari, M Morari
Proc. of Conference on Robot Learning, arXiv:2005.04755, 2020
12020
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Articles 1–20