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2020 – today
- 2024
[j14]Sai Vemprala
, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor:
ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access 12: 55682-55696 (2024)- [c125]Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor:
ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. ICRA 2024: 12857-12864 - [c124]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: 5834-5843 - [c123]Ashish Kapoor:
Foundation Models for Aerial Robotics. WSDM 2024: 1173 - [i62]Parv Kapoor, Sai Vemprala, Ashish Kapoor:
Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning. CoRR abs/2408.05336 (2024) - [i61]Abhinav Shukla, Sai Vemprala, Aditya Kusupati, Ashish Kapoor:
MatMamba: A Matryoshka State Space Model. CoRR abs/2410.06718 (2024) - 2023
- [c122]Ashish Kapoor, Warren E. Ferguson, Himanshu Jain, Sudipta Kundu:
Formal Verification of Floating-Point Division. ARITH 2023: 93-96 - [c121]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: 16175-16185 - [c120]Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor:
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR 2023 - [c119]Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover:
ClimaX: A foundation model for weather and climate. ICML 2023: 25904-25938 - [c118]Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LATTE: LAnguage Trajectory TransformEr. ICRA 2023: 7287-7294 - [c117]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS 2023: 3621-3627 - [i60]Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor:
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR abs/2301.09816 (2023) - [i59]Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover:
ClimaX: A foundation model for weather and climate. CoRR abs/2301.10343 (2023) - [i58]Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor:
ConBaT: Control Barrier Transformer for Safe Policy Learning. CoRR abs/2303.04212 (2023) - [i57]Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor:
ChatGPT for Robotics: Design Principles and Model Abilities. CoRR abs/2306.17582 (2023) - [i56]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 abs/2307.07909 (2023) - [i55]Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor:
GRID: A Platform for General Robot Intelligence Development. CoRR abs/2310.00887 (2023) - [i54]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 abs/2310.02437 (2023) - [i53]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 abs/2312.07843 (2023) - 2022
- [c116]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: 559-575 - [c115]Arthur Bucker, Luis F. C. 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: 978-984 - [c114]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS 2022: 1000-1007 - [c113]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. IROS 2022: 8173-8180 - [c112]Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor:
Learning Modular Simulations for Homogeneous Systems. NeurIPS 2022 - [c111]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 - [c110]Wenhao Luo, Wen Sun, Ashish Kapoor:
Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. WAFR 2022: 419-435 - [i52]Arthur Bucker, Luis F. C. 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 abs/2203.13411 (2022) - [i51]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR abs/2203.15788 (2022) - [i50]Wenhao Luo, Wen Sun, Ashish Kapoor:
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. CoRR abs/2207.14419 (2022) - [i49]Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LaTTe: Language Trajectory TransformEr. CoRR abs/2208.02918 (2022) - [i48]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. CoRR abs/2209.10986 (2022) - [i47]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR abs/2209.11133 (2022) - [i46]Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor:
Learning Modular Simulations for Homogeneous Systems. CoRR abs/2210.16294 (2022) - [i45]Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren:
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR abs/2211.15286 (2022) - 2021
- [j13]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): 6662-6669 (2021) - [c109]Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler:
Quantum algorithms for reinforcement learning with a generative model. ICML 2021: 10916-10926 - [c108]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. ICRA 2021: 9943-9949 - [c107]Dean Zadok, Daniel McDuff, Ashish Kapoor:
Modeling Affect-based Intrinsic Rewards for Exploration and Learning. ICRA 2021: 13078-13084 - [c106]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. NeurIPS 2021: 4712-4724 - [c105]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS 2021: 15270-15284 - [i44]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. CoRR abs/2103.00806 (2021) - [i43]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 abs/2106.03805 (2021) - [i42]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. CoRR abs/2106.13364 (2021) - [i41]Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler:
Quantum Algorithms for Reinforcement Learning with a Generative Model. CoRR abs/2112.08451 (2021) - 2020
- [c104]Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor:
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. IROS 2020: 1637-1644 - [c103]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: 4909-4916 - [c102]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS 2020: 6245-6251 - [c101]Wenhao Luo, Wen Sun, Ashish Kapoor:
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. NeurIPS 2020 - [c100]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020 - [c99]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS 2020 - [c98]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: 852-862 - [c97]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: 1736-1745 - [i40]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR abs/2001.08198 (2020) - [i39]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR abs/2003.01908 (2020) - [i38]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 abs/2003.05654 (2020) - [i37]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 abs/2003.14338 (2020) - [i36]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? CoRR abs/2007.08489 (2020) - [i35]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. CoRR abs/2011.00095 (2020) - [i34]Ashish Kapoor:
Helping Reduce Environmental Impact of Aviation with Machine Learning. CoRR abs/2012.09433 (2020) - [i33]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. CoRR abs/2012.12235 (2020)
2010 – 2019
- 2019
- [c96]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 - [c95]Daniel McDuff, Ashish Kapoor:
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. ICLR (Poster) 2019 - [c94]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. IROS 2019: 7535-7542 - [c93]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: 177-191 - [c92]Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor:
Characterizing Bias in Classifiers using Generative Models. NeurIPS 2019: 5404-5415 - [c91]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: 11056-11068 - [c90]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: 414-421 - [i32]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. CoRR abs/1903.10525 (2019) - [i31]Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. CoRR abs/1904.05916 (2019) - [i30]Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor:
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. CoRR abs/1905.05940 (2019) - [i29]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 abs/1906.09531 (2019) - [i28]Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor:
Characterizing Bias in Classifiers using Generative Models. CoRR abs/1906.11891 (2019) - [i27]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 abs/1909.06993 (2019) - [i26]Dean Zadok, Daniel McDuff, Ashish Kapoor:
Affect-based Intrinsic Rewards for Learning General Representations. CoRR abs/1912.00403 (2019) - [i25]Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor:
Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. CoRR abs/1912.02276 (2019) - [i24]Wenhao Luo, Ashish Kapoor:
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. CoRR abs/1912.09957 (2019) - 2018
- [j12]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) - [j11]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): 362-375 (2018) - [c89]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: 40:1-40:12 - [c88]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: 455-472 - [c87]Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor:
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA 2018: 7306-7313 - [c86]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: 5814-5816 - [i23]Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor:
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR abs/1802.08678 (2018) - [i22]Daniel McDuff, Ashish Kapoor:
Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. CoRR abs/1805.09975 (2018) - [i21]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 abs/1806.10354 (2018) - [i20]Daniel McDuff, Roger Cheng, Ashish Kapoor:
Identifying Bias in AI using Simulation. CoRR abs/1810.00471 (2018) - 2017
- [c85]Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor:
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR 2017: 621-635 - [c84]Talal Ahmad, Ranveer Chandra, Ashish Kapoor, Michael Daum, Eric Horvitz:
Wi-Fly: Widespread Opportunistic Connectivity via Commercial Air Transport. HotNets 2017: 43-49 - [c83]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: 5334-5343 - [c82]Wen Sun, Debadeepta Dey, Ashish Kapoor:
Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML 2017: 3280-3288 - [c81]Kai Zhong, Prateek Jain, Ashish Kapoor:
Fast second-order cone programming for safe mission planning. ICRA 2017: 79-86 - [c80]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to gather information via imitation. ICRA 2017: 908-915 - [c79]Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor:
No-regret replanning under uncertainty. ICRA 2017: 6420-6427 - [c78]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: 515-529 - [c77]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems 2017 - [c76]Uma Parthavi Moravapalle, Amit Deshpande, Ashish Kapoor, Ramachandran Ramjee, Priya Ravi:
Blood Count on a Smartphone Microscope: Challenges. HotMobile 2017: 37-42 - [i19]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 abs/1705.00703 (2017) - [i18]Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor:
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR abs/1705.05065 (2017) - [i17]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Adaptive Information Gathering via Imitation Learning. CoRR abs/1705.07834 (2017) - [i16]Emmanouil A. Platanios, Ashish Kapoor, Eric Horvitz:
Active Learning amidst Logical Knowledge. CoRR abs/1709.08850 (2017) - [i15]Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Data-driven Planning via Imitation Learning. CoRR abs/1711.06391 (2017) - 2016
- [j10]Chengjiang Long, Gang Hua, Ashish Kapoor:
A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing. Int. J. Comput. Vis. 116(2): 136-160 (2016) - [j9]Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.:
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. Neural Comput. 28(8): 1453-1497 (2016) - [j8]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum deep learning. Quantum Inf. Comput. 16(7&8): 541-587 (2016) - [c75]Jack W. Stokes, Ashish Kapoor, Debajyoti Ray:
Asking for a second opinion: Re-querying of noisy multi-class labels. ICASSP 2016: 2329-2333 - [c74]Ashish Kapoor, Michael McKnight, Kony Chatterjee, Talha Agcayazi, Hannah Kausche, Tushar K. Ghosh, Alper Bozkurt:
Soft, flexible 3D printed fibers for capacitive tactile sensing. IEEE SENSORS 2016: 1-3 - [c73]Ashish Kapoor, Nathan Wiebe, Krysta M. Svore:
Quantum Perceptron Models. NIPS 2016: 3999-4007 - [c72]Dorsa Sadigh, Ashish Kapoor:
Safe Control under Uncertainty with Probabilistic Signal Temporal Logic. Robotics: Science and Systems 2016 - [i14]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum Perceptron Models. CoRR abs/1602.04799 (2016) - [i13]Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor:
No-Regret Replanning under Uncertainty. CoRR abs/1609.05162 (2016) - [i12]Kai Zhong, Prateek Jain, Ashish Kapoor:
Fast Second-order Cone Programming for Safe Mission Planning. CoRR abs/1609.05243 (2016) - [i11]Wen Sun, Debadeepta Dey, Ashish Kapoor:
Risk-Aware Algorithms for Adversarial Contextual Bandits. CoRR abs/1610.05129 (2016) - [i10]Ashish Kapoor, Debadeepta Dey, Shital Shah:
Probabilistic Safety Programs. CoRR abs/1610.05376 (2016) - [i9]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to Gather Information via Imitation. CoRR abs/1611.04180 (2016) - 2015
- [j7]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. Quantum Inf. Comput. 15(3&4): 316-356 (2015) - [c71]Mariya Zheleva, Ranveer Chandra, Aakanksha Chowdhery, Ashish Kapoor, Paul Garnett:
TxMiner: Identifying transmitters in real-world spectrum measurements. DySPAN 2015: 94-105 - [c70]Yale Song, Daniel McDuff, Deepak Vasisht, Ashish Kapoor:
Exploiting sparsity and co-occurrence structure for action unit recognition. FG 2015: 1-8 - [c69]Ece Kamar, Ashish Kapoor, Eric Horvitz:
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. HCOMP 2015: 92-101 - [c68]Helen J. Wang, Alexander Moshchuk, Michael Gamon, Shamsi T. Iqbal, Eli T. Brown, Ashish Kapoor, Christopher Meek, Eric Yawei Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan T. Dumais:
The Activity Platform. HotOS 2015 - [c67]Dravyansh Sharma, Ashish Kapoor,