引用次数
引用: 4,228
H-指数: 23
I10-指数 : 34
出版物: 86
Approximate POMDP homomorphisms
Pratik Chaudhari
2014
On the energy landscape of deep networks
Stefano Soatto , Pratik Chaudhari
arXiv: Learning
22
2015
Parle: parallelizing stochastic gradient descent
Pratik Chaudhari , Carlo Baldassi , Riccardo Zecchina , Stefano Soatto
arXiv: Learning
24
2017
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Stefano Soatto , Pratik Chaudhari
international conference on learning representations
255
2018
P3O: Policy-on Policy-off Policy Optimization
Rasool Fakoor , Alexander J. Smola , Pratik Chaudhari
arXiv: Learning
39
2019
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Riccardo Zecchina , Riccardo Zecchina , Stefano Soatto , Carlo Baldassi
arXiv: Learning
602
2016
Meta-Q-Learning
Stefano Soatto , Rasool Fakoor , Alexander J. Smola , Pratik Chaudhari
international conference on learning representations
94
2020
A Baseline for Few-Shot Image Classification
Stefano Soatto , Avinash Ravichandran , Pratik Chaudhari , Guneet Singh Dhillon
international conference on learning representations
427
2020
TraDE: Transformers for Density Estimation.
Rasool Fakoor , Alexander J. Smola , Pratik Chaudhari , Jonas Mueller
arXiv: Learning
15
2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor , Alexander J. Smola , Pratik Chaudhari , Jonas Mueller
arXiv: Learning
26
2020
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning
Rasool Fakoor , Alexander J. Smola , Pratik Chaudhari
arXiv: Learning
3
2020
Proximal Deterministic Policy Gradient
Gian Antonio Susto , Pratik Chaudhari , Marco Maggipinto
arXiv: Learning
3
2020
Scalable Reinforcement Learning Policies for Multi-Agent Control.
Pratik Chaudhari , George J. Pappas , Heejin Jeong , Christopher D. Hsu
arXiv: Multiagent Systems
12
2020
Continuous Doubly Constrained Batch Reinforcement Learning.
Rasool Fakoor , Jonas W Mueller , Kavosh Asadi , Pratik Chaudhari
arXiv: Learning
15
2021
PennSyn2Real: Training Object Recognition Models Without Human Labeling
Dinesh Thakur , Pratik Chaudhari , Camillo J. Taylor , Vijay Kumar
international conference on robotics and automation 6 5032 -5039
2021
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics.
Kostas Daniilidis , Pratik Chaudhari , Karl Schmeckpeper , Wenbo Zhang
arXiv: Computer Vision and Pattern Recognition
11
2021
Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms
Minghui Zhu , Michael Otte , Pratik Chaudhari , Emilio Frazzoli
international conference on robotics and automation 1646 -1651
14
2014
Sampling-based algorithms for optimal motion planning using process algebra specifications
Valerio Varricchio , Pratik Chaudhari , Emilio Frazzoli
international conference on robotics and automation 5326 -5332
19
2014
Directional adversarial training for cost sensitive deep learning classification applications
Matteo Terzi , Gian Antonio Susto , Pratik Chaudhari
Engineering Applications of Artificial Intelligence 91 103550
13
2020
A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics
Rita Fioresi , Pratik Chaudhari , Stefano Soatto
Entropy 22 ( 1) 101
3
2020