Ashish Kapoor

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 113

Top Venues

Publications

Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV (2024)
Ashish Kapoor
Foundation Models for Aerial Robotics. WSDM (2024)
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access 12 (2024)
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. ICRA (2024)
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR (2023)
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
ClimaX: A foundation model for weather and climate. CoRR (2023)
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR (2023)
Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager
Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR (2023)
Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR (2023)
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
ClimaX: A foundation model for weather and climate. ICML (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV (2023)
Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR (2023)
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
ConBaT: Control Barrier Transformer for Safe Policy Learning. CoRR (2023)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
LATTE: LAnguage Trajectory TransformEr. ICRA (2023)
Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor
GRID: A Platform for General Robot Intelligence Development. CoRR (2023)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS (2023)
Ashish Kapoor, Warren E. Ferguson, Himanshu Jain, Sudipta Kundu
Formal Verification of Floating-Point Division. ARITH (2023)
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
ChatGPT for Robotics: Design Principles and Model Abilities. CoRR (2023)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. CoRR (2022)
Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
Learning Modular Simulations for Homogeneous Systems. CoRR (2022)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. IROS (2022)
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR (2022)
Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. CoRR (2022)
Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
Learning Modular Simulations for Homogeneous Systems. NeurIPS (2022)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. NeurIPS (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. IROS (2022)
Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS (2022)
Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR (2022)
Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
LaTTe: Language Trajectory TransformEr. CoRR (2022)
Wenhao Luo, Wen Sun, Ashish Kapoor
Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. WAFR (2022)
Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR (2022)
Wenhao Luo, Wen Sun, Ashish Kapoor
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. CoRR (2022)
Sai Vemprala, Ashish Kapoor
Adversarial Attacks on Optimization based Planners. ICRA (2021)
Dean Zadok, Daniel McDuff, Ashish Kapoor
Modeling Affect-based Intrinsic Rewards for Exploration and Learning. ICRA (2021)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS (2021)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. CoRR (2021)
Sai Vemprala, Sami Mian, Ashish Kapoor
Representation Learning for Event-based Visuomotor Policies. NeurIPS (2021)
Sai Vemprala, Sami Mian, Ashish Kapoor
Representation Learning for Event-based Visuomotor Policies. CoRR (2021)
Daniel J. McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR (2021)
Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler
Quantum Algorithms for Reinforcement Learning with a Generative Model. CoRR (2021)
Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler
Quantum algorithms for reinforcement learning with a generative model. ICML (2021)
Robert DeBortoli, Fuxin Li, Ashish Kapoor, Geoffrey A. Hollinger
Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection. IEEE Robotics Autom. Lett. 6 (4) (2021)
Wenhao Luo, Wen Sun, Ashish Kapoor
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. NeurIPS (2020)
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS (2020)
Sai Vemprala, Ashish Kapoor
Adversarial Attacks on Optimization based Planners. CoRR (2020)
Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. IROS (2020)
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona
Synthetic Examples Improve Generalization for Rare Classes. WACV (2020)
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor
AirSim Drone Racing Lab. CoRR (2020)
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
Do Adversarially Robust ImageNet Models Transfer Better? CoRR (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS (2020)
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer
TartanAir: A Dataset to Push the Limits of Visual SLAM. CoRR (2020)
Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV (2020)
Ashish Kapoor
Helping Reduce Environmental Impact of Aviation with Machine Learning. CoRR (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. CoRR (2020)
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR (2020)
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR (2020)
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer
TartanAir: A Dataset to Push the Limits of Visual SLAM. IROS (2020)
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. DGS@ICLR (2019)
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. CoRR (2019)
Wenhao Luo, Ashish Kapoor
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. CoRR (2019)
Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
Inverse Optimal Planning for Air Traffic Control. IROS (2019)
Daniel J. McDuff, Ashish Kapoor
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. ICLR (Poster) (2019)
Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor
Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. CoRR (2019)
Daniel J. McDuff, Shuang Ma, Yale Song, Ashish Kapoor
Characterizing Bias in Classifiers using Generative Models. NeurIPS (2019)
Daniel J. McDuff, Shuang Ma, Yale Song, Ashish Kapoor
Characterizing Bias in Classifiers using Generative Models. CoRR (2019)
Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. CoRR (2019)
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) (2019)
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. SIMULTECH (2019)
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona
Synthetic Examples Improve Generalization for Rare Classes. CoRR (2019)
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. CoRR (2019)
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. NeurIPS (2019)
Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
Inverse Optimal Planning for Air Traffic Control. CoRR (2019)
Dean Zadok, Daniel J. McDuff, Ashish Kapoor
Affect-based Intrinsic Rewards for Learning General Representations. CoRR (2019)
Daniel J. McDuff, Ashish Kapoor
Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. CoRR (2018)
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA (2018)
Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI (2018)
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. ECCV (15) (2018)
Mariya Zheleva, Ranveer Chandra, Aakanksha Chowdhery, Paul Garnett, Anoop Gupta, Ashish Kapoor, Matt Valerio
Enabling a Nationwide Radio Frequency Inventory Using the Spectrum Observatory. IEEE Trans. Mob. Comput. 17 (2) (2018)
Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS (2018)
Daniel J. McDuff, Roger Cheng, Ashish Kapoor
Identifying Bias in AI using Simulation. CoRR (2018)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven planning via imitation learning. Int. J. Robotics Res. 37 (13-14) (2018)
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. CoRR (2018)
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR (2018)
Deepak Vasisht, Zerina Kapetanovic, Jongho Won, Xinxin Jin, Ranveer Chandra, Sudipta N. Sinha, Ashish Kapoor, Madhusudhan Sudarshan, Sean Stratman
FarmBeats: An IoT Platform for Data-Driven Agriculture. NSDI (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems (2017)
Mike Roberts, Shital Shah, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Ashish Kapoor, Pat Hanrahan, Neel Joshi
Submodular Trajectory Optimization for Aerial 3D Scanning. ICCV (2017)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven Planning via Imitation Learning. CoRR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. CoRR (2017)
Uma Parthavi Moravapalle, Amit Deshpande, Ashish Kapoor, Ramachandran Ramjee, Priya Ravi
Blood Count on a Smartphone Microscope: Challenges. HotMobile (2017)
Wen Sun, Debadeepta Dey, Ashish Kapoor
Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML (2017)
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR (2017)
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi
Submodular Trajectory Optimization for Aerial 3D Scanning. CoRR (2017)
Kai Zhong, Prateek Jain, Ashish Kapoor
Fast second-order cone programming for safe mission planning. ICRA (2017)
Talal Ahmad, Ranveer Chandra, Ashish Kapoor, Michael Daum, Eric Horvitz
Wi-Fly: Widespread Opportunistic Connectivity via Commercial Air Transport. HotNets (2017)
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
No-regret replanning under uncertainty. ICRA (2017)
Emmanouil A. Platanios, Ashish Kapoor, Eric Horvitz
Active Learning amidst Logical Knowledge. CoRR (2017)
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
Learning to gather information via imitation. ICRA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ashish Kapoor