Seuraa
Pratik Chaudhari
Pratik Chaudhari
University of Pennsylvania
Vahvistettu sähköpostiosoite verkkotunnuksessa seas.upenn.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Dive into deep learning
A Zhang, Z Lipton, Li, Mu, AJ Smola
6132021
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
6082019
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
6082017
A Baseline for Few-Shot Image Classification
GS Dhillon, P Chaudhari, A Ravichandran, S Soatto
ICLR, arXiv:1909.02729, 2020
4322020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
P Chaudhari, S Soatto
ICLR, arXiv:1710.11029, 2018
2602018
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
1452018
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
ICLR, arXiv:1910.00125, 2020
952020
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
932013
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
842020
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
UAI, arXiv:1905.01756, 2019
392019
Sampling-based algorithms for continuous-time POMDPs
P Chaudhari, S Karaman, D Hsu, E Frazzoli
ACC, 4604-4610, 2013
392013
On the energy landscape of deep networks
P Chaudhari, S Soatto
ICML Workshop on Optimization in Machine Learning, 2016
30*2016
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
292020
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
272014
Parle: parallelizing stochastic gradient descent
P Chaudhari, C Baldassi, R Zecchina, S Soatto, A Talwalkar, A Oberman
SysML, arXiv:1707.00424, 2018
242018
Sampling-based algorithms for optimal motion planning using process algebra specifications
V Varricchio, P Chaudhari, E Frazzoli
ICRA, 5326-5332, 2014
192014
Model Zoo: A Growing "Brain" That Learns Continually
R Ramesh, P Chaudhari
ICLR, arXiv:2106.03027, 2022
17*2022
Harmonization with Flow-based Causal Inference
R Wang, P Chaudhari, C Davatzikos
MICCAI, arXiv:2106.06845, 2021
152021
Continuous Doubly Constrained Batch Reinforcement Learning
R Fakoor, K Asadi, J Mueller, P Chaudhari, AJ Smola
NeurIPS, arXiv:2102.09225, 2021
152021
Trade: Transformers for density estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
152020
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Artikkelit 1–20