Pratik Chaudhari
Orcid: 0000-0003-4590-1956
According to our database1,
Pratik Chaudhari
authored at least 86 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation.
CoRR, 2024
Optimal Convex Cover as Collision-free Space Approximation for Trajectory Generation.
CoRR, 2024
Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments.
CoRR, 2024
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI.
CoRR, 2024
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration.
CoRR, 2024
Design and Evaluation of Motion Planners for Quadrotors in Environments with Varying Complexities.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the American Control Conference, 2024
Proceedings of the American Control Conference, 2024
2023
Frontiers Comput. Neurosci., February, 2023
SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos.
CoRR, 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience.
CoRR, 2023
CoRR, 2023
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold.
CoRR, 2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis.
CoRR, 2023
CoRR, 2023
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.
Medical Image Anal., 2022
Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies.
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Robotics Autom. Lett., 2021
Mach. Learn. Sci. Technol., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data.
IEEE J. Biomed. Health Informatics, 2020
Entropy, 2020
Directional adversarial training for cost sensitive deep learning classification applications.
Eng. Appl. Artif. Intell., 2020
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
2018
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2015
2014
Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Sampling-based algorithms for optimal motion planning using process algebra specifications.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Incremental minimum-violation control synthesis for robots interacting with external agents.
Proceedings of the American Control Conference, 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the American Control Conference, 2013
2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009