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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, Amit Deshpande:
On Greedy Maximization of Entropy. ICML 2015: 1330-1338 - [c66]Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard:
FeatureInsight: Visual support for error-driven feature ideation in text classification. VAST 2015: 105-112 - [c65]David Zhao, Aakanksha Chowdhery, Ashish Kapoor, Shivani Bahl:
Games of drones: an affective game with cyber-physical systems. IPSN 2015: 410-411 - [c64]Aditya Grover, Ashish Kapoor, Eric Horvitz:
A Deep Hybrid Model for Weather Forecasting. KDD 2015: 379-386 - [i8]Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz:
Inferring and Learning from Neuronal Correspondences. CoRR abs/1501.05973 (2015) - [i7]Nathan Wiebe, Ashish Kapoor, Christopher E. Granade, Krysta M. Svore:
Quantum Inspired Training for Boltzmann Machines. CoRR abs/1507.02642 (2015) - [i6]Dorsa Sadigh, Ashish Kapoor:
Safe Control under Uncertainty. CoRR abs/1510.07313 (2015) - [i5]Nathan Wiebe, Christopher E. Granade, Ashish Kapoor, Krysta M. Svore:
Bayesian inference via rejection filtering. CoRR abs/1511.06458 (2015) - 2014
- [j6]Stefanie Jegelka, Ashish Kapoor, Eric Horvitz:
An Interactive Approach to Solving Correspondence Problems. Int. J. Comput. Vis. 108(1-2): 49-58 (2014) - [j5]Ashish Kapoor, Juan C. Caicedo, Dani Lischinski, Sing Bing Kang:
Collaborative Personalization of Image Enhancement. Int. J. Comput. Vis. 108(1-2): 148-164 (2014) - [c63]Alnur Ali, Rich Caruana, Ashish Kapoor:
Active Learning with Model Selection. AAAI 2014: 1673-1679 - [c62]Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor:
Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS 2014: 1101-1108 - [c61]Huixuan Tang, Neel Joshi, Ashish Kapoor:
Blind Image Quality Assessment Using Semi-supervised Rectifier Networks. CVPR 2014: 2877-2884 - [c60]Ashish Kapoor, Zachary Horvitz, Spencer Laube, Eric Horvitz:
Airplanes aloft as a sensor network for wind forecasting. IPSN 2014: 25-34 - [c59]Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor:
Active learning for sparse bayesian multilabel classification. KDD 2014: 472-481 - [c58]Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang:
Mining text snippets for images on the web. KDD 2014: 1534-1543 - [i4]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. CoRR abs/1401.6421 (2014) - [i3]Nathan Wiebe, Ashish Kapoor, Krysta M. Svore:
Quantum Deep Learning. CoRR abs/1412.3489 (2014) - 2013
- [c57]Erin A. Carroll, Mary Czerwinski, Asta Roseway, Ashish Kapoor, Paul Johns, Kael Rowan, Monica M. C. Schraefel:
Food and Mood: Just-in-Time Support for Emotional Eating. ACII 2013: 252-257 - [c56]Ashish Kapoor, Mary Czerwinski, Diana Lynn MacLean, Alex Zolotovitski:
On Recovering Structure of Affect. ACII 2013: 442-447 - [c55]Chengjiang Long, Gang Hua, Ashish Kapoor:
Active Visual Recognition with Expertise Estimation in Crowdsourcing. ICCV 2013: 3000-3007 - [c54]Ece Kamar, Ashish Kapoor, Eric Horvitz:
Lifelong Learning for Acquiring the Wisdom of the Crowd. IJCAI 2013: 2313-2320 - [c53]Gloria Zen, John Krumm, Nicu Sebe, Eric Horvitz, Ashish Kapoor:
Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes. ARTEMIS@ACM Multimedia 2013: 17-24 - 2012
- [j4]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. 44: 491-532 (2012) - [c52]Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz:
Learning to Learn: Algorithmic Inspirations from Human Problem Solving. AAAI 2012: 1571-1577 - [c51]Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz:
Performance and Preferences: Interactive Refinement of Machine Learning Procedures. AAAI 2012: 1578-1584 - [c50]Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski:
AffectAura: an intelligent system for emotional memory. CHI 2012: 849-858 - [c49]Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvitz:
Memory constrained face recognition. CVPR 2012: 2539-2546 - [c48]Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang:
Context-Based Automatic Local Image Enhancement. ECCV (1) 2012: 569-582 - [c47]Ashish Kapoor, Raajay Viswanathan, Prateek Jain:
Multilabel Classification using Bayesian Compressed Sensing. NIPS 2012: 2654-2662 - [c46]Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski:
AffectAura: Emotional wellbeing reflection system. PervasiveHealth 2012: 199-200 - [i2]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. CoRR abs/1202.3734 (2012) - [i1]Ashish Kapoor, Eric Horvitz:
On Discarding, Caching, and Recalling Samples in Active Learning. CoRR abs/1206.5274 (2012) - 2011
- [c45]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Effective End-User Interaction with Machine Learning. AAAI 2011: 1529-1532 - [c44]Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian:
CueT: human-guided fast and accurate network alarm triage. CHI 2011: 157-166 - [c43]Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang:
Collaborative personalization of image enhancement. CVPR 2011: 249-256 - [c42]Huixuan Tang, Neel Joshi, Ashish Kapoor:
Learning a blind measure of perceptual image quality. CVPR 2011: 305-312 - [c41]Byungki Byun, Anurag Awasthi, Philip A. Chou, Ashish Kapoor, Bongshin Lee, Mary Czerwinski:
Honest signals in video conferencing. ICME 2011: 1-6 - [c40]Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan:
Using Multiple Models to Understand Data. IJCAI 2011: 1723-1728 - [c39]Alice X. Zheng, John Dunagan, Ashish Kapoor:
Active Graph Reachability Reduction for Network Security and Software Engineering. IJCAI 2011: 1750-1756 - [c38]Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian:
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. IJCAI 2011: 2564-2569 - [c37]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. UAI 2011: 355-362 - 2010
- [j3]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Gaussian Processes for Object Categorization. Int. J. Comput. Vis. 88(2): 169-188 (2010) - [c36]Ashish Kapoor, Nathan Eagle, Eric Horvitz:
People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c35]Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz:
Interactive optimization for steering machine classification. CHI 2010: 1343-1352 - [c34]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Examining multiple potential models in end-user interactive concept learning. CHI 2010: 1357-1360 - [c33]Sudheendra Vijayanarasimhan, Ashish Kapoor:
Visual recognition and detection under bounded computational resources. CVPR 2010: 1006-1013 - [c32]Sing Bing Kang, Ashish Kapoor, Dani Lischinski:
Personalization of image enhancement. CVPR 2010: 1799-1806 - [c31]Dahua Lin, Ashish Kapoor, Gang Hua, Simon Baker:
Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context. ECCV (1) 2010: 243-256 - [c30]Ryen W. White, Ashish Kapoor, Susan T. Dumais:
Modeling Long-Term Search Engine Usage. UMAP 2010: 28-39
2000 – 2009
- 2009
- [j2]Jie Bao, Uldis Bojars, Tanzeem Choudhury, Li Ding, Mark Greaves, Ashish Kapoor, Sandy Louchart, Manish Mehta, Bernhard Nebel, Sergei Nirenburg, Tim Oates, David L. Roberts, Antonio Sanfilippo, Nenad Stojanovic, Kristen Stubbs, Andrea Lockerd Thomaz, Katherine M. Tsui, Stefan Wölfl:
Reports of the AAAI 2009 Spring Symposia. AI Mag. 30(3): 89-95 (2009) - [c29]Tanzeem Choudhury, Ashish Kapoor, Henry A. Kautz:
Organizing Committee. AAAI Spring Symposium: Human Behavior Modeling 2009 - [c28]Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney S. Tan:
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers. CHI 2009: 1283-1292 - [c27]Prateek Jain, Ashish Kapoor:
Active learning for large multi-class problems. CVPR 2009: 762-769 - [c26]C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell:
Co-training with noisy perceptual observations. CVPR 2009: 2844-2851 - [c25]Ashish Kapoor, Gang Hua, Amir Akbarzadeh, Simon Baker:
Which faces to tag: Adding prior constraints into active learning. ICCV 2009: 1058-1065 - [c24]Ashish Kapoor, Eric Horvitz:
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition. NIPS 2009: 898-906 - [c23]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Overview based example selection in end user interactive concept learning. UIST 2009: 247-256 - 2008
- [c22]James Fogarty, Desney S. Tan, Ashish Kapoor, Simon A. J. Winder:
CueFlik: interactive concept learning in image search. CHI 2008: 29-38 - [c21]Ashish Kapoor, Eric Horvitz:
Experience sampling for building predictive user models: a comparative study. CHI 2008: 657-666 - [c20]Ashish Kapoor, Pradeep Shenoy, Desney S. Tan:
Combining brain computer interfaces with vision for object categorization. CVPR 2008 - [c19]Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric Horvitz:
Complementary computing for visual tasks: Meshing computer vision with human visual processing. FG 2008: 1-7 - 2007
- [j1]Ashish Kapoor, Winslow Burleson, Rosalind W. Picard:
Automatic prediction of frustration. Int. J. Hum. Comput. Stud. 65(8): 724-736 (2007) - [c18]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Active Learning with Gaussian Processes for Object Categorization. ICCV 2007: 1-8 - [c17]Ashish Kapoor, Eric Horvitz, Sumit Basu:
Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning. IJCAI 2007: 877-882 - [c16]Ashish Kapoor, Eric Horvitz:
On Discarding, Caching, and Recalling Samples in Active Learning. UAI 2007: 209-216 - [c15]Ashish Kapoor, Eric Horvitz:
Principles of Lifelong Learning for Predictive User Modeling. User Modeling 2007: 37-46 - 2006
- [c14]Ashish Kapoor, John M. Winn:
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. ECCV (3) 2006: 302-315 - [c13]Yuan (Alan) Qi, Patrycja E. Missiuro, Ashish Kapoor, Craig P. Hunter, Tommi S. Jaakkola, David K. Gifford, Hui Ge:
Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo. ISMB (Supplement of Bioinformatics) 2006: 417-423 - 2005
- [c12]Ashish Kapoor, Sumit Basu:
The audio epitome: a new representation for modeling and classifying auditory phenomena. ICASSP (5) 2005: 189-192 - [c11]Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard:
Mixture of Gaussian Processes for Combining Multiple Modalities. Multiple Classifier Systems 2005: 86-96 - [c10]Ashish Kapoor, Rosalind W. Picard:
Multimodal affect recognition in learning environments. ACM Multimedia 2005: 677-682 - [c9]Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind W. Picard:
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification. NIPS 2005: 627-634 - 2004
- [c8]Christopher Lee, Neal Lesh, Candace L. Sidner, Louis-Philippe Morency, Ashish Kapoor, Trevor Darrell:
Nodding in conversations with a robot. CHI Extended Abstracts 2004: 785-786 - [c7]Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov:
Probabilistic Combination of Multiple Modalities to Detect Interest. ICPR (3) 2004: 969-972 - 2003
- [c6]Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard:
Fully Automatic Upper Facial Action Recognition. AMFG 2003: 195-202 - 2002
- [c5]Ashish Kapoor, Rosalind W. Picard:
Real-Time, Fully Automatic Upper Facial Feature Tracking. FGR 2002: 10-15 - 2001
- [c4]Tanveer A. Faruquie, Ashish Kapoor, Rohit J. Kate, Nitendra Rajput, L. Venkata Subramaniam:
Audio Driven Facial Animation For Audio-Visual Reality. ICME 2001 - [c3]Ashish Kapoor, Rosalind W. Picard:
A real-time head nod and shake detector. PUI 2001: 1:1-1:5 - 2000
- [c2]Udit Kumar Goyal, Ashish Kapoor, Prem Kalra:
Text-to-Audiovisual Speech Synthesizer. Virtual Worlds 2000: 256-269
1990 – 1999
- 1994
- [c1]Ashish Kapoor, Heiko Schröder, Bryan Beresford-Smith:
Deterministic Permutation Routing on a Reconfigurable Mesh. IPPS 1994: 536-540
Coauthor Index
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