Pratik Chaudhari

153 papers A* 26A 4C 4Misc 3Journal 102Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs. CoRR Rohit Jena, Pratik Chaudhari, James C. Gee
2026	J	`jnl`	Neurosim: A Fast Simulator for Neuromorphic Robot Perception. CoRR Richeek Das, Pratik Chaudhari
2025	J	`jnl`	A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration. CoRR Rohit Jena, Vedant Zope, Pratik Chaudhari, James C. Gee
2025	J	`jnl`	ATLAS Navigator: Active Task-driven LAnguage-embedded Gaussian Splatting. CoRR Dexter Ong, Yuezhan Tao, Varun Murali, Igor Spasojevic, Vijay Kumar, Pratik Chaudhari
2025	J	`jnl`	Active Semantic Perception. CoRR Huayi Tang, Pratik Chaudhari
2025	A*	`conf`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2025	A*	`conf`	An Active Perception Game for Robust Information Gathering. ICRA Siming He, Yuezhan Tao, Igor Spasojevic, Vijay Kumar, Pratik Chaudhari
2025	J	`jnl`	An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models. CoRR Jialin Mao, Itay Griniasty, Yan Sun, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2025	J	`jnl`	An Effective Gram Matrix Characterizes Generalization in Deep Networks. CoRR Rubing Yang, Pratik Chaudhari
2025	—	`conf`	Boiling Frogs: Generative Models, Synthetic Data, and the Opinions of their Users. CDC Matteo Marchi, João Pedro Silvestre, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2025	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. Trans. Mach. Learn. Res. Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2025	J	`jnl`	Concurrence: A dependence criterion for time series, applied to biological data. CoRR Evangelos Sariyanidi, John D. Herrington, Lisa Yankowitz, Pratik Chaudhari, Theodore D. Satterthwaite, Casey J. Zampella, Jeffrey S. Morris, Edward Gunning, Robert T. Schultz, Russell T. Shinohara, Birkan Tunç
2025	J	`jnl`	Deep implicit optimization enables robust learnable features for deformable image registration. Medical Image Anal. Rohit Jena, Pratik Chaudhari, James C. Gee
2025	J	`jnl`	Estimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera. CoRR Siming He, Zachary Osman, Fernando Cladera, Dexter Ong, Nitant Rai, Patrick Corey Green, Vijay Kumar, Pratik Chaudhari
2025	J	`jnl`	Fast Feature Field (F CoRR Richeek Das, Kostas Daniilidis, Pratik Chaudhari
2025	J	`jnl`	From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations. CoRR Anthony Bisulco, Rahul Ramesh, Randall Balestriero, Pratik Chaudhari
2025	J	`jnl`	Gaussian Splatting as a Unified Representation for Autonomy in Unstructured Environments. CoRR Dexter Ong, Yuezhan Tao, Varun Murali, Igor Spasojevic, Vijay Kumar, Pratik Chaudhari
2025	J	`jnl`	HALO: High-Altitude Language-Conditioned Monocular Aerial Exploration and Navigation. CoRR Yuezhan Tao, Dexter Ong, Fernando Cladera, Jason Hughes, Camillo J. Taylor, Pratik Chaudhari, Vijay Kumar
2025	J	`jnl`	Language Modeling with Learned Meta-Tokens. CoRR Alok N. Shah, Khush Gupta, Keshav Ramji, Pratik Chaudhari
2025	—	`conf`	Learning a Vision-Based Footstep Planner for Hierarchical Walking Control. Humanoids Minku Kim, Brian Acosta, Pratik Chaudhari, Michael Posa
2025	J	`jnl`	Learning a Vision-Based Footstep Planner for Hierarchical Walking Control. CoRR Minku Kim, Brian Acosta, Pratik Chaudhari, Michael Posa
2025	—	`conf`	Observability of Latent States in Generative AI Models. NeuS Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2025	—	`conf`	Prospective Learning in Retrospect. AGI (1) Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
2025	J	`jnl`	Prospective Learning in Retrospect. CoRR Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
2025	J	`jnl`	RT-GuIDE: Real-Time Gaussian Splatting for Information-Driven Exploration. IEEE Robotics Autom. Lett. Yuezhan Tao, Dexter Ong, Varun Murali, Igor Spasojevic, Pratik Chaudhari, Vijay Kumar
2025	J	`jnl`	Real2USD: Scene Representations in Universal Scene Description Language. CoRR Christopher D. Hsu, Pratik Chaudhari
2025	J	`jnl`	SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multirobot Navigation. IEEE Trans. Robotics Xu Liu, Jiuzhou Lei, Ankit Prabhu, Yuezhan Tao, Igor Spasojevic, Pratik Chaudhari, Nikolay Atanasov, Vijay Kumar
2025	J	`jnl`	Spatio-Temporal Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset. IEEE Robotics Autom. Lett. Jiuzhou Lei, Ankit Prabhu, Xu Liu, Fernando Cladera, Mehrad Mortazavi, Reza Ehsani, Pratik Chaudhari, Vijay Kumar
2025	J	`jnl`	Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation. CoRR Yifei Simon Shao, Yuchen Zheng, Sunan Sun, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
2025	J	`jnl`	The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge. CoRR Rohit Jena, Pratik Chaudhari, James C. Gee
2025	J	`jnl`	Towards Optimizing a Convex Cover of Collision-Free Space for Trajectory Generation. IEEE Robotics Autom. Lett. Yuwei Wu, Igor Spasojevic, Pratik Chaudhari, Vijay Kumar
2024	J	`jnl`	4D Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset. CoRR Jiuzhou Lei, Ankit Prabhu, Xu Liu, Fernando Cladera Ojeda, Mehrad Mortazavi, Reza Ehsani, Pratik Chaudhari, Vijay Kumar
2024	J	`jnl`	A Confidence Interval for the ℓ CoRR Yan Sun, Pratik Chaudhari, Ian J. Barnett, Edgar Dobriban
2024	C	`conf`	A Model for Multi-Agent Heterogeneous Interaction Problems. ACC Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari
2024	C	`conf`	Active Perception using Neural Radiance Fields. ACC Siming He, Christopher D. Hsu, Dexter Ong, Yifei Simon Shao, Pratik Chaudhari
2024	A	`conf`	Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments. IROS Christopher D. Hsu, Pratik Chaudhari
2024	J	`jnl`	Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments. CoRR Christopher D. Hsu, Pratik Chaudhari
2024	J	`jnl`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2024	J	`jnl`	An Active Perception Game for Robust Autonomous Exploration. CoRR Siming He, Yuezhan Tao, Igor Spasojevic, Vijay Kumar, Pratik Chaudhari
2024	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. CoRR Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2024	—	`conf`	Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation. Robotics: Science and Systems Yifei Simon Shao, Tianyu Li, Shafagh Keyvanian, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
2024	J	`jnl`	Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation. CoRR Yifei Simon Shao, Tianyu Li, Shafagh Keyvanian, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
2024	J	`jnl`	Deep Implicit Optimization for Robust and Flexible Image Registration. CoRR Rohit Jena, Pratik Chaudhari, James C. Gee
2024	A*	`conf`	Deep Learning in Medical Image Registration: Magic or Mirage? NeurIPS Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee
2024	J	`jnl`	Deep Learning in Medical Image Registration: Magic or Mirage? CoRR Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee
2024	A*	`conf`	Design and Evaluation of Motion Planners for Quadrotors in Environments with Varying Complexities. ICRA Yifei Simon Shao, Yuwei Wu, Laura Jarin-Lipschitz, Pratik Chaudhari, Vijay Kumar
2024	J	`jnl`	Don't Yell at Your Robot: Physical Correction as the Collaborative Interface for Language Model Powered Robots. CoRR Chuye Zhang, Yifei Simon Shao, Harshil Parekh, Junyao Shi, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
2024	J	`jnl`	FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration. CoRR Rohit Jena, Pratik Chaudhari, James C. Gee
2024	J	`jnl`	From NeRFs to Gaussian Splats, and Back. CoRR Siming He, Zach Osman, Pratik Chaudhari
2024	—	`conf`	Heat Death of Generative Models in Closed-Loop Learning. CDC Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024	J	`jnl`	Heat Death of Generative Models in Closed-Loop Learning. CoRR Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024	J	`jnl`	Many Perception Tasks are Highly Redundant Functions of their Input Data. CoRR Rahul Ramesh, Anthony Bisulco, Ronald W. Ditullio, Linran Wei, Vijay Balasubramanian, Kostas Daniilidis, Pratik Chaudhari
2024	J	`jnl`	Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2024	J	`jnl`	Optimal Convex Cover as Collision-free Space Approximation for Trajectory Generation. CoRR Yuwei Wu, Igor Spasojevic, Pratik Chaudhari, Vijay Kumar
2024	A*	`conf`	Prospective Learning: Learning for a Dynamic Future. NeurIPS Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2024	J	`jnl`	Prospective Learning: Learning for a Dynamic Future. CoRR Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2024	J	`jnl`	RT-GuIDE: Real-Time Gaussian splatting for Information-Driven Exploration. CoRR Yuezhan Tao, Dexter Ong, Varun Murali, Igor Spasojevic, Pratik Chaudhari, Vijay Kumar
2024	J	`jnl`	SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation. CoRR Xu Liu, Jiuzhou Lei, Ankit Prabhu, Yuezhan Tao, Igor Spasojevic, Pratik Chaudhari, Nikolay Atanasov, Vijay Kumar
2024	A*	`conf`	Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
2024	A*	`conf`	TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards. ICRA Derek Cheng, Fernando Cladera Ojeda, Ankit Prabhu, Xu Liu, Alan Zhu, Patrick Corey Green, Reza Ehsani, Pratik Chaudhari, Vijay Kumar
2024	J	`jnl`	dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD. CoRR Jiahe Yan, Pratik Chaudhari, Leonard Kleinrock
2023	A*	`conf`	A Picture of the Space of Typical Learnable Tasks. ICML Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023	J	`jnl`	Active Perception using Neural Radiance Fields. CoRR Siming He, Christopher D. Hsu, Dexter Ong, Yifei Simon Shao, Pratik Chaudhari
2023	J	`jnl`	Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience. CoRR Rongguang Wang, Güray Erus, Pratik Chaudhari, Christos Davatzikos
2023	J	`jnl`	Analog Content-Addressable Memory from Complementary FeFETs. CoRR Xiwen Liu, Keshava Katti, Yunfei He, Paul Jacob, Claudia Richter, Uwe Schroeder, Santosh Kurinec, Pratik Chaudhari, Deep Jariwala
2023	A*	`conf`	Beyond mAP: Towards Better Evaluation of Instance Segmentation. CVPR Rohit Jena, Lukas Zhornyak, Nehal Doiphode, Pratik Chaudhari, Vivek Buch, James C. Gee, Jianbo Shi
2023	A*	`conf`	Budgeting Counterfactual for Offline RL. NeurIPS Yao Liu, Pratik Chaudhari, Rasool Fakoor
2023	J	`jnl`	Budgeting Counterfactual for Offline RL. CoRR Yao Liu, Pratik Chaudhari, Rasool Fakoor
2023	J	`jnl`	Design and Evaluation of Motion Planners for Quadrotors. CoRR Yifei Simon Shao, Yuwei Wu, Laura Jarin-Lipschitz, Pratik Chaudhari, Vijay Kumar
2023	J	`jnl`	Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis. CoRR Yansong Gao, Zhihong Pan, Xin Zhou, Le Kang, Pratik Chaudhari
2023	J	`jnl`	Learning Capacity: A Measure of the Effective Dimensionality of a Model. CoRR Daiwei Chen, Weikai Chang, Pratik Chaudhari
2023	J	`jnl`	Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos. CoRR Rohit Jena, Pratik Chaudhari, James C. Gee, Ganesh Subramanian Iyer, Siddharth Choudhary, Brandon M. Smith
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam S. Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023	J	`jnl`	Retrieving Conditions from Reference Images for Diffusion Models. CoRR Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari
2023	—	`conf`	Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. ECML/PKDD (3) Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett
2023	J	`jnl`	SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos. CoRR Rohit Jena, Ganesh Subramanian Iyer, Siddharth Choudhary, Brandon M. Smith, Pratik Chaudhari, James C. Gee
2023	J	`jnl`	Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
2023	J	`jnl`	The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. CoRR Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023	A*	`conf`	The Value of Out-of-Distribution Data. ICML Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2023	J	`jnl`	Time as a supervisor: temporal regularity and auditory object learning. Frontiers Comput. Neurosci. Ronald W. Ditullio, Chetan Parthiban, Eugenio Piasini, Pratik Chaudhari, Vijay Balasubramanian, Yale E. Cohen
2023	J	`jnl`	TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards. CoRR Derek Cheng, Fernando Cladera Ojeda, Ankit Prabhu, Xu Liu, Alan Zhu, Patrick Corey Green, Reza Ehsani, Pratik Chaudhari, Vijay Kumar
2022	J	`jnl`	A Model for Perimeter-Defense Problems with Heterogeneous Teams. CoRR Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari
2022	J	`jnl`	A picture of the space of typical learnable tasks. CoRR Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022	J	`jnl`	Data drift correction via time-varying importance weight estimator. CoRR Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
2022	A*	`conf`	Deep Reference Priors: What is the best way to pretrain a model? ICML Yansong Gao, Rahul Ramesh, Pratik Chaudhari
2022	J	`jnl`	Deep Reference Priors: What is the best way to pretrain a model? CoRR Yansong Gao, Rahul Ramesh, Pratik Chaudhari
2022	A*	`conf`	Does the Data Induce Capacity Control in Deep Learning? ICML Rubing Yang, Jialin Mao, Pratik Chaudhari
2022	A*	`conf`	Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract). AAAI Anirudh Cowlagi, Pratik Chaudhari
2022	J	`jnl`	Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation. Medical Image Anal. Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2022	J	`jnl`	Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies. CoRR Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2022	J	`jnl`	MammoDL: Mammographic Breast Density Estimation using Federated Learning. CoRR Keshava Katti, Ramya Muthukrishnan, Angelina Heyler, Sarthak Pati, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Celine M. Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas
2022	A*	`conf`	Model Zoo: A Growing Brain That Learns Continually. ICLR Rahul Ramesh, Pratik Chaudhari
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2022	J	`jnl`	Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. CoRR Shiyun Xu, Zhiqi Bu, Pratik Chaudhari, Ian J. Barnett
2022	J	`jnl`	The Value of Out-of-Distribution Data. CoRR Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2021	J	`jnl`	A free-energy principle for representation learning. Mach. Learn. Sci. Technol. Yansong Gao, Pratik Chaudhari
2021	A*	`conf`	An Information-Geometric Distance on the Space of Tasks. ICML Yansong Gao, Pratik Chaudhari
2021	J	`jnl`	Boosting a Model Zoo for Multi-Task and Continual Learning. CoRR Rahul Ramesh, Pratik Chaudhari
2021	A*	`conf`	Continuous Doubly Constrained Batch Reinforcement Learning. NeurIPS Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola
2021	J	`jnl`	Continuous Doubly Constrained Batch Reinforcement Learning. CoRR Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola
2021	A*	`conf`	Deformable Linear Object Prediction Using Locally Linear Latent Dynamics. ICRA Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis
2021	J	`jnl`	Deformable Linear Object Prediction Using Locally Linear Latent Dynamics. CoRR Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis
2021	J	`jnl`	Does the Data Induce Capacity Control in Deep Learning? CoRR Rubing Yang, Jialin Mao, Pratik Chaudhari
2021	J	`jnl`	Embracing the Disharmony in Heterogeneous Medical Data. CoRR Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2021	—	`conf`	Harmonization with Flow-Based Causal Inference. MICCAI (3) Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2021	J	`jnl`	Harmonization with Flow-based Causal Inference. CoRR Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
2021	A*	`conf`	MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation. ICRA Xiaoyi Chen, Pratik Chaudhari
2021	J	`jnl`	PennSyn2Real: Training Object Recognition Models Without Human Labeling. IEEE Robotics Autom. Lett. Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Arjun Guru, Shashank Prasad, Camillo J. Taylor, Pratik Chaudhari, Vijay Kumar
2021	A	`conf`	Scalable Reinforcement Learning Policies for Multi-Agent Control. IROS Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari
2020	A*	`conf`	A Baseline for Few-Shot Image Classification. ICLR Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2020	A*	`conf`	A Free-Energy Principle for Representation Learning. ICML Yansong Gao, Pratik Chaudhari
2020	J	`jnl`	A Free-Energy Principle for Representation Learning. CoRR Yansong Gao, Pratik Chaudhari
2020	J	`jnl`	A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics. Entropy Rita Fioresi, Pratik Chaudhari, Stefano Soatto
2020	J	`jnl`	An Information-Geometric Distance on the Space of Tasks. CoRR Yansong Gao, Pratik Chaudhari
2020	Misc	`conf`	BayesRace: Learning to race autonomously using prior experience. CoRL Achin Jain, Matthew O'Kelly, Pratik Chaudhari, Manfred Morari
2020	J	`jnl`	BayesRace: Learning to race autonomously using prior experience. CoRR Achin Jain, Pratik Chaudhari, Manfred Morari
2020	J	`jnl`	DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning. CoRR Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2020	J	`jnl`	Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2020	J	`jnl`	Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data. IEEE J. Biomed. Health Informatics Andrew Hua, Pratik Chaudhari, Nicole Johnson, Joshua Quinton, Bruce R. Schatz, David Buchner, Manuel E. Hernandez
2020	A*	`conf`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2020	J	`jnl`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2020	J	`jnl`	MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation. CoRR Xiaoyi Chen, Pratik Chaudhari
2020	A*	`conf`	Meta-Q-Learning. ICLR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2020	A	`conf`	Proximal Deterministic Policy Gradient. IROS Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
2020	J	`jnl`	Proximal Deterministic Policy Gradient. CoRR Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
2020	A*	`conf`	Rethinking the Hyperparameters for Fine-tuning. ICLR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Rethinking the Hyperparameters for Fine-tuning. CoRR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Scalable Reinforcement Learning Policies for Multi-Agent Control. CoRR Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari
2020	J	`jnl`	TraDE: Transformers for Density Estimation. CoRR Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola
2019	J	`jnl`	A Baseline for Few-Shot Image Classification. CoRR Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2019	J	`jnl`	A geometric interpretation of stochastic gradient descent using diffusion metrics. CoRR Rita Fioresi, Pratik Chaudhari, Stefano Soatto
2019	J	`jnl`	Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2019	J	`jnl`	Meta-Q-Learning. CoRR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2019	A	`conf`	P3O: Policy-on Policy-off Policy Optimization. UAI Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2019	J	`jnl`	P3O: Policy-on Policy-off Policy Optimization. CoRR Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2018	Misc	`conf`	Stochastic Gradient Descent Performs Variational Inference, Converges to Limit Cycles for Deep Networks. ITA Pratik Chaudhari, Stefano Soatto
2018	—	`conf`	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. ICLR (Poster) Pratik Chaudhari, Stefano Soatto
2017	J	`jnl`	Deep Relaxation: partial differential equations for optimizing deep neural networks. CoRR Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	—	`conf`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2017	J	`jnl`	Parle: parallelizing stochastic gradient descent. CoRR Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar
2017	Misc	`conf`	Partial differential equations for training deep neural networks. ACSSC Pratik Chaudhari, Adam M. Oberman, Stanley J. Osher, Stefano Soatto, Guillaume Carlier
2017	J	`jnl`	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. CoRR Pratik Chaudhari, Stefano Soatto
2016	J	`jnl`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2015	J	`jnl`	Trivializing The Energy Landscape Of Deep Networks. CoRR Pratik Chaudhari, Stefano Soatto
2014	J	`jnl`	Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms. CoRR Minghui Zhu, Michael W. Otte, Pratik Chaudhari, Emilio Frazzoli
2014	A*	`conf`	Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms. ICRA Minghui Zhu, Michael W. Otte, Pratik Chaudhari, Emilio Frazzoli
2014	C	`conf`	Incremental minimum-violation control synthesis for robots interacting with external agents. ACC Pratik Chaudhari, Tichakorn Wongpiromsarn, Emilio Frazzoli
2014	A*	`conf`	Sampling-based algorithms for optimal motion planning using process algebra specifications. ICRA Valerio Varricchio, Pratik Chaudhari, Emilio Frazzoli
2013	J	`jnl`	Incremental Sampling-based Algorithm for Minimum-violation Motion Planning CoRR Luis I. Reyes Castro, Pratik Chaudhari, Jana Tumova, Sertac Karaman, Emilio Frazzoli, Daniela Rus
2013	—	`conf`	Incremental sampling-based algorithm for minimum-violation motion planning. CDC Luis I. Reyes Castro, Pratik Chaudhari, Jana Tumova, Sertac Karaman, Emilio Frazzoli, Daniela Rus
2013	C	`conf`	Sampling-based algorithms for continuous-time POMDPs. ACC Pratik Chaudhari, Sertac Karaman, David Hsu, Emilio Frazzoli
2012	—	`conf`	Sampling-based algorithm for filtering using Markov chain approximations. CDC Pratik Chaudhari, Sertac Karaman, Emilio Frazzoli
2009	—	`conf`	Localization using Average Landmark Vector in the Presence of Clutter. NaBIC Pratik Chaudhari