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3DB: A Framework for Debugging Computer Vision Models


Jun 07, 2021
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry


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Representation Learning for Event-based Visuomotor Policies


Mar 01, 2021
Sai Vemprala, Sami Mian, Ashish Kapoor


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Unadversarial Examples: Designing Objects for Robust Vision


Dec 22, 2020
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor


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Helping Reduce Environmental Impact of Aviation with Machine Learning


Dec 17, 2020
Ashish Kapoor

* Appeared in NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning 

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Adversarial Attacks on Optimization based Planners


Oct 30, 2020
Sai Vemprala, Ashish Kapoor

* 7 pages. Submitted to ICRA 2021 

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Do Adversarially Robust ImageNet Models Transfer Better?


Jul 16, 2020
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry


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TartanAir: A Dataset to Push the Limits of Visual SLAM


Mar 31, 2020
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian Scherer


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AirSim Drone Racing Lab


Mar 12, 2020
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor

* 14 pages, 6 figures 

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Black-box Smoothing: A Provable Defense for Pretrained Classifiers


Mar 04, 2020
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

* 8 pages main text; 26 pages total 

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Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty


Mar 02, 2020
Tom Hirshberg, Sai Vemprala, Ashish Kapoor


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Affect-based Intrinsic Rewards for Learning General Representations


Jan 24, 2020
Dean Zadok, Daniel McDuff, Ashish Kapoor


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Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates


Jan 22, 2020
Tom Hirshberg, Sai Vemprala, Ashish Kapoor


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Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates


Dec 20, 2019
Wenhao Luo, Ashish Kapoor

* 7 pages 

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Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon


Dec 04, 2019
Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor

* NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning 

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Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing


Sep 16, 2019
Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor


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Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting


Jun 23, 2019
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon


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Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations


May 15, 2019
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor


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Synthetic Examples Improve Generalization for Rare Classes


May 14, 2019
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona


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Inverse Optimal Planning for Air Traffic Control


Mar 25, 2019
Ekaterina Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor


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Identifying Bias in AI using Simulation


Sep 30, 2018
Daniel McDuff, Roger Cheng, Ashish Kapoor


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Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility


Jul 31, 2018
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges

* 16 pages, 7 figures, 5 tables 

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Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System


May 25, 2018
Daniel McDuff, Ashish Kapoor


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Verifying Controllers Against Adversarial Examples with Bayesian Optimization


Feb 26, 2018
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor

* Proc. of the IEEE International Conference on Robotics and Automation, 2018 

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Data-driven Planning via Imitation Learning


Nov 17, 2017
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey


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Active Learning amidst Logical Knowledge


Sep 26, 2017
Emmanouil Antonios Platanios, Ashish Kapoor, Eric Horvitz


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Submodular Trajectory Optimization for Aerial 3D Scanning


Aug 04, 2017
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

* Accepted for publication at the International Conference on Computer Vision (ICCV) 2017; Supplementary video: http://www.youtube.com/watch?v=89fFmfVZSO8 

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