Ashish Kapoor - RankMe

204 papers A* 58A 19B 5C 4Misc 4Journal 79Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion. CoRR Dvij Kalaria, Sudarshan S. Harithas, Pushkal Katara, Sangkyung Kwak, Sarthak Bhagat, Shankar Sastry, Srinath Sridhar, Sai Vemprala, Ashish Kapoor, Jonathan Chung-Kuan Huang
2025	J	`jnl`	Foundation models in robotics: Applications, challenges, and the future. Int. J. Robotics Res. Roya Firoozi, John 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
2025	J	`jnl`	Pretrained Embeddings as a Behavior Specification Mechanism. CoRR Parv Kapoor, Abigail Hammer, Ashish Kapoor, Karen Leung, Eunsuk Kang
2024	J	`jnl`	ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
2024	A*	`conf`	ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. ICRA Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
2024	A	`conf`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2024	A	`conf`	Foundation Models for Aerial Robotics. WSDM Ashish Kapoor
2024	J	`jnl`	Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning. CoRR Parv Kapoor, Sai Vemprala, Ashish Kapoor
2024	J	`jnl`	MatMamba: A Matryoshka State Space Model. CoRR Abhinav Shukla, Sai Vemprala, Aditya Kusupati, Ashish Kapoor
2023	J	`jnl`	ChatGPT for Robotics: Design Principles and Model Abilities. CoRR Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor
2023	A*	`conf`	ClimaX: A foundation model for weather and climate. ICML Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
2023	J	`jnl`	ClimaX: A foundation model for weather and climate. CoRR Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
2023	J	`jnl`	ConBaT: Control Barrier Transformer for Safe Policy Learning. CoRR Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
2023	J	`jnl`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2023	C	`conf`	Formal Verification of Floating-Point Division. ARITH Ashish Kapoor, Warren E. Ferguson, Himanshu Jain, Sudipta Kundu
2023	J	`jnl`	Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR 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
2023	J	`jnl`	GRID: A Platform for General Robot Intelligence Development. CoRR Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor
2023	A*	`conf`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	J	`jnl`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	A*	`conf`	LATTE: LAnguage Trajectory TransformEr. ICRA Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
2023	A	`conf`	PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
2023	A*	`conf`	SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
2023	J	`jnl`	SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS 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
2022	A	`conf`	COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
2022	J	`jnl`	COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
2022	—	`conf`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2022	J	`jnl`	LaTTe: Language Trajectory TransformEr. CoRR Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
2022	A*	`conf`	Learning Modular Simulations for Homogeneous Systems. NeurIPS Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
2022	J	`jnl`	Learning Modular Simulations for Homogeneous Systems. CoRR Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
2022	A	`conf`	Learning to Simulate Realistic LiDARs. IROS Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	J	`jnl`	Learning to Simulate Realistic LiDARs. CoRR Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	J	`jnl`	Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren
2022	J	`jnl`	PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor
2022	A	`conf`	Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. IROS Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti
2022	J	`jnl`	Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. CoRR Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti
2022	C	`conf`	Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. WAFR Wenhao Luo, Wen Sun, Ashish Kapoor
2022	J	`jnl`	Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. CoRR Wenhao Luo, Wen Sun, Ashish Kapoor
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR 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
2021	A*	`conf`	Adversarial Attacks on Optimization based Planners. ICRA Sai Vemprala, Ashish Kapoor
2021	J	`jnl`	Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection. IEEE Robotics Autom. Lett. Robert DeBortoli, Fuxin Li, Ashish Kapoor, Geoffrey A. Hollinger
2021	J	`jnl`	CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
2021	A*	`conf`	Modeling Affect-based Intrinsic Rewards for Exploration and Learning. ICRA Dean Zadok, Daniel McDuff, Ashish Kapoor
2021	J	`jnl`	Quantum Algorithms for Reinforcement Learning with a Generative Model. CoRR Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler
2021	A*	`conf`	Quantum algorithms for reinforcement learning with a generative model. ICML Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler
2021	A*	`conf`	Representation Learning for Event-based Visuomotor Policies. NeurIPS Sai Vemprala, Sami Mian, Ashish Kapoor
2021	J	`jnl`	Representation Learning for Event-based Visuomotor Policies. CoRR Sai Vemprala, Sami Mian, Ashish Kapoor
2021	A*	`conf`	Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
2020	J	`jnl`	Adversarial Attacks on Optimization based Planners. CoRR Sai Vemprala, Ashish Kapoor
2020	J	`jnl`	AirSim Drone Racing Lab. CoRR Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor
2020	A	`conf`	BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
2020	J	`jnl`	Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	A*	`conf`	Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	A*	`conf`	Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
2020	J	`jnl`	Do Adversarially Robust ImageNet Models Transfer Better? CoRR Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
2020	J	`jnl`	Helping Reduce Environmental Impact of Aviation with Machine Learning. CoRR Ashish Kapoor
2020	A	`conf`	Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. IROS Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
2020	A*	`conf`	Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. NeurIPS Wenhao Luo, Wen Sun, Ashish Kapoor
2020	J	`jnl`	Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR Tom Hirshberg, Sai Vemprala, Ashish Kapoor
2020	A	`conf`	Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS Tom Hirshberg, Sai Vemprala, Ashish Kapoor
2020	A	`conf`	Synthetic Examples Improve Generalization for Rare Classes. WACV Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona
2020	A	`conf`	TartanAir: A Dataset to Push the Limits of Visual SLAM. IROS Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer
2020	J	`jnl`	TartanAir: A Dataset to Push the Limits of Visual SLAM. CoRR Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer
2020	J	`jnl`	Unadversarial Examples: Designing Objects for Robust Vision. CoRR Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
2019	J	`jnl`	Affect-based Intrinsic Rewards for Learning General Representations. CoRR Dean Zadok, Daniel McDuff, Ashish Kapoor
2019	—	`conf`	AirSim Drone Racing Lab. NeurIPS (Competition and Demos) Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor
2019	A*	`conf`	Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. NeurIPS Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
2019	J	`jnl`	Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. CoRR Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon
2019	—	`conf`	Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. DGS@ICLR Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
2019	A*	`conf`	Characterizing Bias in Classifiers using Generative Models. NeurIPS Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
2019	J	`jnl`	Characterizing Bias in Classifiers using Generative Models. CoRR Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
2019	J	`jnl`	Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. CoRR Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor
2019	C	`conf`	Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. SIMULTECH Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
2019	J	`jnl`	Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. CoRR Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
2019	A	`conf`	Inverse Optimal Planning for Air Traffic Control. IROS Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
2019	J	`jnl`	Inverse Optimal Planning for Air Traffic Control. CoRR Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
2019	J	`jnl`	Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. CoRR Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
2019	J	`jnl`	Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. CoRR Wenhao Luo, Ashish Kapoor
2019	J	`jnl`	Synthetic Examples Improve Generalization for Rare Classes. CoRR Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona
2019	—	`conf`	Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. ICLR (Poster) Daniel McDuff, Ashish Kapoor
2018	C	`conf`	AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018	J	`jnl`	Data-driven planning via imitation learning. Int. J. Robotics Res. Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2018	J	`jnl`	Enabling a Nationwide Radio Frequency Inventory Using the Spectrum Observatory. IEEE Trans. Mob. Comput. Mariya Zheleva, Ranveer Chandra, Aakanksha Chowdhery, Paul Garnett, Anoop Gupta, Ashish Kapoor, Matt Valerio
2018	J	`jnl`	Identifying Bias in AI using Simulation. CoRR Daniel McDuff, Roger Cheng, Ashish Kapoor
2018	—	`conf`	Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. ECCV (15) Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
2018	J	`jnl`	Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. CoRR Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
2018	A*	`conf`	Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018	A*	`conf`	Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
2018	J	`jnl`	Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
2018	J	`jnl`	Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. CoRR Daniel McDuff, Ashish Kapoor
2017	J	`jnl`	Active Learning amidst Logical Knowledge. CoRR Emmanouil A. Platanios, Ashish Kapoor, Eric Horvitz
2017	—	`conf`	Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	J	`jnl`	Adaptive Information Gathering via Imitation Learning. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	—	`conf`	AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
2017	J	`jnl`	AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
2017	Misc	`conf`	Blood Count on a Smartphone Microscope: Challenges. HotMobile Uma Parthavi Moravapalle, Amit Deshpande, Ashish Kapoor, Ramachandran Ramjee, Priya Ravi
2017	J	`jnl`	Data-driven Planning via Imitation Learning. CoRR Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	Misc	`conf`	FarmBeats: An IoT Platform for Data-Driven Agriculture. NSDI Deepak Vasisht, Zerina Kapetanovic, Jongho Won, Xinxin Jin, Ranveer Chandra, Sudipta N. Sinha, Ashish Kapoor, Madhusudhan Sudarshan, Sean Stratman
2017	A*	`conf`	Fast second-order cone programming for safe mission planning. ICRA Kai Zhong, Prateek Jain, Ashish Kapoor
2017	A*	`conf`	Learning to gather information via imitation. ICRA Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2017	A*	`conf`	No-regret replanning under uncertainty. ICRA Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
2017	A*	`conf`	Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML Wen Sun, Debadeepta Dey, Ashish Kapoor
2017	A*	`conf`	Submodular Trajectory Optimization for Aerial 3D Scanning. ICCV Mike Roberts, Shital Shah, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Ashish Kapoor, Pat Hanrahan, Neel Joshi
2017	J	`jnl`	Submodular Trajectory Optimization for Aerial 3D Scanning. CoRR Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi
2017	Misc	`conf`	Wi-Fly: Widespread Opportunistic Connectivity via Commercial Air Transport. HotNets Talal Ahmad, Ranveer Chandra, Ashish Kapoor, Michael Daum, Eric Horvitz
2016	J	`jnl`	A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing. Int. J. Comput. Vis. Chengjiang Long, Gang Hua, Ashish Kapoor
2016	Misc	`conf`	Asking for a second opinion: Re-querying of noisy multi-class labels. ICASSP Jack W. Stokes, Ashish Kapoor, Debajyoti Ray
2016	J	`jnl`	Fast Second-order Cone Programming for Safe Mission Planning. CoRR Kai Zhong, Prateek Jain, Ashish Kapoor
2016	J	`jnl`	Learning to Gather Information via Imitation. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2016	J	`jnl`	No-Regret Replanning under Uncertainty. CoRR Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
2016	J	`jnl`	Probabilistic Safety Programs. CoRR Ashish Kapoor, Debadeepta Dey, Shital Shah
2016	—	`conf`	Quantum Perceptron Models. NIPS Ashish Kapoor, Nathan Wiebe, Krysta M. Svore
2016	J	`jnl`	Quantum Perceptron Models. CoRR Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2016	J	`jnl`	Quantum deep learning. Quantum Inf. Comput. Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2016	J	`jnl`	Risk-Aware Algorithms for Adversarial Contextual Bandits. CoRR Wen Sun, Debadeepta Dey, Ashish Kapoor
2016	—	`conf`	Safe Control under Uncertainty with Probabilistic Signal Temporal Logic. Robotics: Science and Systems Dorsa Sadigh, Ashish Kapoor
2016	J	`jnl`	Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. Neural Comput. Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.
2016	—	`conf`	Soft, flexible 3D printed fibers for capacitive tactile sensing. IEEE SENSORS Ashish Kapoor, Michael McKnight, Kony Chatterjee, Talha Agcayazi, Hannah Kausche, Tushar K. Ghosh, Alper Bozkurt
2015	A*	`conf`	A Deep Hybrid Model for Weather Forecasting. KDD Aditya Grover, Ashish Kapoor, Eric Horvitz
2015	J	`jnl`	Bayesian inference via rejection filtering. CoRR Nathan Wiebe, Christopher E. Granade, Ashish Kapoor, Krysta M. Svore
2015	B	`conf`	Exploiting sparsity and co-occurrence structure for action unit recognition. FG Yale Song, Daniel McDuff, Deepak Vasisht, Ashish Kapoor
2015	—	`conf`	FeatureInsight: Visual support for error-driven feature ideation in text classification. VAST Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard
2015	—	`conf`	Games of drones: an affective game with cyber-physical systems. IPSN David Zhao, Aakanksha Chowdhery, Ashish Kapoor, Shivani Bahl
2015	B	`conf`	Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. HCOMP Ece Kamar, Ashish Kapoor, Eric Horvitz
2015	J	`jnl`	Inferring and Learning from Neuronal Correspondences. CoRR Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz
2015	A*	`conf`	On Greedy Maximization of Entropy. ICML Dravyansh Sharma, Ashish Kapoor, Amit Deshpande
2015	J	`jnl`	Quantum Inspired Training for Boltzmann Machines. CoRR Nathan Wiebe, Ashish Kapoor, Christopher E. Granade, Krysta M. Svore
2015	J	`jnl`	Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. Quantum Inf. Comput. Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2015	J	`jnl`	Safe Control under Uncertainty. CoRR Dorsa Sadigh, Ashish Kapoor
2015	A	`conf`	The Activity Platform. HotOS 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
2015	—	`conf`	TxMiner: Identifying transmitters in real-world spectrum measurements. DySPAN Mariya Zheleva, Ranveer Chandra, Aakanksha Chowdhery, Ashish Kapoor, Paul Garnett
2014	A*	`conf`	Active Learning with Model Selection. AAAI Alnur Ali, Rich Caruana, Ashish Kapoor
2014	A*	`conf`	Active learning for sparse bayesian multilabel classification. KDD Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor
2014	—	`conf`	Airplanes aloft as a sensor network for wind forecasting. IPSN Ashish Kapoor, Zachary Horvitz, Spencer Laube, Eric Horvitz
2014	J	`jnl`	An Interactive Approach to Solving Correspondence Problems. Int. J. Comput. Vis. Stefanie Jegelka, Ashish Kapoor, Eric Horvitz
2014	A*	`conf`	Blind Image Quality Assessment Using Semi-supervised Rectifier Networks. CVPR Huixuan Tang, Neel Joshi, Ashish Kapoor
2014	J	`jnl`	Collaborative Personalization of Image Enhancement. Int. J. Comput. Vis. Ashish Kapoor, Juan C. Caicedo, Dani Lischinski, Sing Bing Kang
2014	A	`conf`	Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor
2014	A*	`conf`	Mining text snippets for images on the web. KDD 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
2014	J	`jnl`	Quantum Deep Learning. CoRR Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
2014	J	`jnl`	Riffled Independence for Efficient Inference with Partial Rankings. CoRR Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2013	A*	`conf`	Active Visual Recognition with Expertise Estimation in Crowdsourcing. ICCV Chengjiang Long, Gang Hua, Ashish Kapoor
2013	B	`conf`	Food and Mood: Just-in-Time Support for Emotional Eating. ACII Erin A. Carroll, Mary Czerwinski, Asta Roseway, Ashish Kapoor, Paul Johns, Kael Rowan, Monica M. C. Schraefel
2013	A*	`conf`	Lifelong Learning for Acquiring the Wisdom of the Crowd. IJCAI Ece Kamar, Ashish Kapoor, Eric Horvitz
2013	—	`conf`	Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes. ARTEMIS@ACM Multimedia Gloria Zen, John Krumm, Nicu Sebe, Eric Horvitz, Ashish Kapoor
2013	B	`conf`	On Recovering Structure of Affect. ACII Ashish Kapoor, Mary Czerwinski, Diana Lynn MacLean, Alex Zolotovitski
2012	—	`conf`	AffectAura: Emotional wellbeing reflection system. PervasiveHealth Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski
2012	A*	`conf`	AffectAura: an intelligent system for emotional memory. CHI Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski
2012	—	`conf`	Context-Based Automatic Local Image Enhancement. ECCV (1) Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang
2012	J	`jnl`	Efficient Probabilistic Inference with Partial Ranking Queries CoRR Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2012	A*	`conf`	Learning to Learn: Algorithmic Inspirations from Human Problem Solving. AAAI Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz
2012	A*	`conf`	Memory constrained face recognition. CVPR Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvitz
2012	—	`conf`	Multilabel Classification using Bayesian Compressed Sensing. NIPS Ashish Kapoor, Raajay Viswanathan, Prateek Jain
2012	J	`jnl`	On Discarding, Caching, and Recalling Samples in Active Learning CoRR Ashish Kapoor, Eric Horvitz
2012	A*	`conf`	Performance and Preferences: Interactive Refinement of Machine Learning Procedures. AAAI Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz
2012	J	`jnl`	Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2011	A*	`conf`	Active Graph Reachability Reduction for Network Security and Software Engineering. IJCAI Alice X. Zheng, John Dunagan, Ashish Kapoor
2011	A*	`conf`	Collaborative personalization of image enhancement. CVPR Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang
2011	A*	`conf`	CueT: human-guided fast and accurate network alarm triage. CHI Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
2011	A*	`conf`	Effective End-User Interaction with Machine Learning. AAAI Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
2011	A	`conf`	Efficient Probabilistic Inference with Partial Ranking Queries. UAI Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2011	A	`conf`	Honest signals in video conferencing. ICME Byungki Byun, Anurag Awasthi, Philip A. Chou, Ashish Kapoor, Bongshin Lee, Mary Czerwinski
2011	A*	`conf`	Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. IJCAI Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
2011	A*	`conf`	Learning a blind measure of perceptual image quality. CVPR Huixuan Tang, Neel Joshi, Ashish Kapoor
2011	A*	`conf`	Using Multiple Models to Understand Data. IJCAI Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan
2010	A*	`conf`	Examining multiple potential models in end-user interactive concept learning. CHI Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
2010	J	`jnl`	Gaussian Processes for Object Categorization. Int. J. Comput. Vis. Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell
2010	A*	`conf`	Interactive optimization for steering machine classification. CHI Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric Horvitz
2010	—	`conf`	Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context. ECCV (1) Dahua Lin, Ashish Kapoor, Gang Hua, Simon Baker
2010	A	`conf`	Modeling Long-Term Search Engine Usage. UMAP Ryen W. White, Ashish Kapoor, Susan T. Dumais
2010	—	`conf`	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 Ashish Kapoor, Nathan Eagle, Eric Horvitz
2010	A*	`conf`	Personalization of image enhancement. CVPR Sing Bing Kang, Ashish Kapoor, Dani Lischinski
2010	A*	`conf`	Visual recognition and detection under bounded computational resources. CVPR Sudheendra Vijayanarasimhan, Ashish Kapoor
2009	A*	`conf`	Active learning for large multi-class problems. CVPR Prateek Jain, Ashish Kapoor
2009	—	`conf`	Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition. NIPS Ashish Kapoor, Eric Horvitz
2009	A*	`conf`	Co-training with noisy perceptual observations. CVPR C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell
2009	A*	`conf`	EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers. CHI Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney S. Tan
2009	—	`conf`	Organizing Committee. AAAI Spring Symposium: Human Behavior Modeling Tanzeem Choudhury, Ashish Kapoor, Henry A. Kautz
2009	A*	`conf`	Overview based example selection in end user interactive concept learning. UIST Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
2009	J	`jnl`	Reports of the AAAI 2009 Spring Symposia. AI Mag. 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
2009	A*	`conf`	Which faces to tag: Adding prior constraints into active learning. ICCV Ashish Kapoor, Gang Hua, Amir Akbarzadeh, Simon Baker
2008	A*	`conf`	Combining brain computer interfaces with vision for object categorization. CVPR Ashish Kapoor, Pradeep Shenoy, Desney S. Tan
2008	B	`conf`	Complementary computing for visual tasks: Meshing computer vision with human visual processing. FG Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric Horvitz
2008	A*	`conf`	CueFlik: interactive concept learning in image search. CHI James Fogarty, Desney S. Tan, Ashish Kapoor, Simon A. J. Winder
2008	A*	`conf`	Experience sampling for building predictive user models: a comparative study. CHI Ashish Kapoor, Eric Horvitz
2007	A*	`conf`	Active Learning with Gaussian Processes for Object Categorization. ICCV Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell
2007	J	`jnl`	Automatic prediction of frustration. Int. J. Hum. Comput. Stud. Ashish Kapoor, Winslow Burleson, Rosalind W. Picard
2007	A	`conf`	On Discarding, Caching, and Recalling Samples in Active Learning. UAI Ashish Kapoor, Eric Horvitz
2007	—	`conf`	Principles of Lifelong Learning for Predictive User Modeling. User Modeling Ashish Kapoor, Eric Horvitz
2007	A*	`conf`	Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning. IJCAI Ashish Kapoor, Eric Horvitz, Sumit Basu
2006	—	`conf`	Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. ECCV (3) Ashish Kapoor, John M. Winn
2006	—	`conf`	Semi-supervised analysis of gene expression profiles for lineage-specific development in the ISMB (Supplement of Bioinformatics) Yuan (Alan) Qi, Patrycja E. Missiuro, Ashish Kapoor, Craig P. Hunter, Tommi S. Jaakkola, David K. Gifford, Hui Ge
2005	—	`conf`	Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification. NIPS Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind W. Picard
2005	—	`conf`	Mixture of Gaussian Processes for Combining Multiple Modalities. Multiple Classifier Systems Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard
2005	A*	`conf`	Multimodal affect recognition in learning environments. ACM Multimedia Ashish Kapoor, Rosalind W. Picard
2005	—	`conf`	The audio epitome: a new representation for modeling and classifying auditory phenomena. ICASSP (5) Ashish Kapoor, Sumit Basu
2004	—	`conf`	Nodding in conversations with a robot. CHI Extended Abstracts Christopher Lee, Neal Lesh, Candace L. Sidner, Louis-Philippe Morency, Ashish Kapoor, Trevor Darrell
2004	—	`conf`	Probabilistic Combination of Multiple Modalities to Detect Interest. ICPR (3) Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov
2003	—	`conf`	Fully Automatic Upper Facial Action Recognition. AMFG Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
2002	—	`conf`	Real-Time, Fully Automatic Upper Facial Feature Tracking. FGR Ashish Kapoor, Rosalind W. Picard
2001	—	`conf`	A real-time head nod and shake detector. PUI Ashish Kapoor, Rosalind W. Picard
2001	A	`conf`	Audio Driven Facial Animation For Audio-Visual Reality. ICME Tanveer A. Faruquie, Ashish Kapoor, Rohit J. Kate, Nitendra Rajput, L. Venkata Subramaniam
2000	—	`conf`	Text-to-Audiovisual Speech Synthesizer. Virtual Worlds Udit Kumar Goyal, Ashish Kapoor, Prem Kalra
1994	—	`conf`	Deterministic Permutation Routing on a Reconfigurable Mesh. IPPS Ashish Kapoor, Heiko Schröder, Bryan Beresford-Smith