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Harmonization with Flow-based Causal Inference


Jul 10, 2021
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos


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Boosting a Model Zoo for Multi-Task and Continual Learning


Jun 06, 2021
Rahul Ramesh, Pratik Chaudhari


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Deformable Linear Object Prediction Using Locally Linear Latent Dynamics


Mar 26, 2021
Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis


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Embracing the Disharmony in Heterogeneous Medical Data


Mar 23, 2021
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos

* Accepted by Med-NeurIPS 2020 

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Continuous Doubly Constrained Batch Reinforcement Learning


Feb 23, 2021
Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola


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Scalable Reinforcement Learning Policies for Multi-Agent Control


Nov 16, 2020
Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari

* 8 pages, 10 figures, submitted to RA-L with ICRA option 

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An Information-Geometric Distance on the Space of Tasks


Nov 01, 2020
Yansong Gao, Pratik Chaudhari


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MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation


Aug 17, 2020
Xiaoyi Chen, Pratik Chaudhari

* Code available at https://github.com/sherrychen1120/MIDAS 

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Proximal Deterministic Policy Gradient


Aug 03, 2020
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari


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DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning


Jun 26, 2020
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola


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Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation


Jun 25, 2020
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola


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BayesRace: Learning to race autonomously using prior experience


May 10, 2020
Achin Jain, Pratik Chaudhari, Manfred Morari


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TraDE: Transformers for Density Estimation


Apr 06, 2020
Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola


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A Free-Energy Principle for Representation Learning


Feb 27, 2020
Yansong Gao, Pratik Chaudhari

* 21 pages, 14 figures 

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Rethinking the Hyperparameters for Fine-tuning


Feb 19, 2020
Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

* Published as a conference paper at ICLR 2020 

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Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications


Oct 08, 2019
Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari


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Meta-Q-Learning


Sep 30, 2019
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola


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A Baseline for Few-Shot Image Classification


Sep 06, 2019
Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto


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P3O: Policy-on Policy-off Policy Optimization


May 05, 2019
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola


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Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks


Jan 16, 2018
Pratik Chaudhari, Stefano Soatto


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Parle: parallelizing stochastic gradient descent


Sep 10, 2017
Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar, Adam Oberman


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On the energy landscape of deep networks


Apr 21, 2017
Pratik Chaudhari, Stefano Soatto


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Entropy-SGD: Biasing Gradient Descent Into Wide Valleys


Apr 21, 2017
Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer Chayes, Levent Sagun, Riccardo Zecchina

* ICLR '17 

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Incremental Sampling-based Algorithm for Minimum-violation Motion Planning


Nov 06, 2013
Luis I. Reyes Castro, Pratik Chaudhari, Jana Tumova, Sertac Karaman, Emilio Frazzoli, Daniela Rus

* 8 pages, final version submitted to CDC '13 

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