Deterministic Permutation Routing on a Reconfigurable Mesh. - Ashish Kapoor; Heiko Schröder 001; Bryan Beresford-Smith (IPPS, 1994)

Text-to-Audiovisual Speech Synthesizer. - Udit Kumar Goyal; Ashish Kapoor; Prem Kalra (Virtual Worlds, 2000)

Audio Driven Facial Animation For Audio-Visual Reality. - Tanveer A. Faruquie; Ashish Kapoor; Rohit J. Kate; Nitendra Rajput; L. Venkata Subramaniam (ICME, 2001)

A real-time head nod and shake detector. - Ashish Kapoor; Rosalind W. Picard (PUI, 2001)

Real-Time, Fully Automatic Upper Facial Feature Tracking. - Ashish Kapoor; Rosalind W. Picard (FGR, 2002)

Fully Automatic Upper Facial Action Recognition. - Ashish Kapoor; Yuan (Alan) Qi; Rosalind W. Picard (AMFG, 2003)

Nodding in conversations with a robot. - Christopher Lee 001; Neal Lesh; Candace L. Sidner; Louis-Philippe Morency; Ashish Kapoor; Trevor Darrell (CHI Extended Abstracts, 2004)

Probabilistic Combination of Multiple Modalities to Detect Interest. - Ashish Kapoor; Rosalind W. Picard; Yuri Ivanov (ICPR (3), 2004)

The audio epitome: a new representation for modeling and classifying auditory phenomena. - Ashish Kapoor; Sumit Basu (ICASSP (5), 2005)

Mixture of Gaussian Processes for Combining Multiple Modalities. - Ashish Kapoor; Hyungil Ahn; Rosalind W. Picard (Multiple Classifier Systems, 2005)

Multimodal affect recognition in learning environments. - Ashish Kapoor; Rosalind W. Picard (ACM Multimedia, 2005)

Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification. - Ashish Kapoor; Yuan (Alan) Qi; Hyungil Ahn; Rosalind W. Picard (NIPS, 2005)

Located Hidden Random Fields: Learning Discriminative Parts for Object Detection. - Ashish Kapoor; John M. Winn (ECCV (3), 2006)

Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo. - Yuan (Alan) Qi; Patrycja E. Missiuro; Ashish Kapoor; Craig P. Hunter; Tommi S. Jaakkola; David K. Gifford; Hui Ge (ISMB (Supplement of Bioinformatics), 2006)

Active Learning with Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (ICCV, 2007)

Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning. - Ashish Kapoor; Eric Horvitz; Sumit Basu (IJCAI, 2007)

On Discarding, Caching, and Recalling Samples in Active Learning. - Ashish Kapoor; Eric Horvitz (UAI, 2007)

Principles of Lifelong Learning for Predictive User Modeling. - Ashish Kapoor; Eric Horvitz (User Modeling, 2007)

Automatic prediction of frustration. - Ashish Kapoor; Winslow Burleson; Rosalind W. Picard (Int. J. Hum. Comput. Stud., 2007)

CueFlik: interactive concept learning in image search. - James Fogarty; Desney S. Tan; Ashish Kapoor; Simon A. J. Winder (CHI, 2008)

Experience sampling for building predictive user models: a comparative study. - Ashish Kapoor; Eric Horvitz (CHI, 2008)

Combining brain computer interfaces with vision for object categorization. - Ashish Kapoor; Pradeep Shenoy; Desney S. Tan (CVPR, 2008)

Complementary computing for visual tasks: Meshing computer vision with human visual processing. - Ashish Kapoor; Desney S. Tan; Pradeep Shenoy; Eric Horvitz (FG, 2008)

Organizing Committee. - Tanzeem Choudhury; Ashish Kapoor; Henry A. Kautz (AAAI Spring Symposium: Human Behavior Modeling, 2009)

EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers. - Justin Talbot; Bongshin Lee; Ashish Kapoor; Desney S. Tan (CHI, 2009)

Co-training with noisy perceptual observations. - C. Mario Christoudias; Raquel Urtasun; Ashish Kapoor; Trevor Darrell (CVPR, 2009)

Active learning for large multi-class problems. - Prateek Jain 002; Ashish Kapoor (CVPR, 2009)

Which faces to tag: Adding prior constraints into active learning. - Ashish Kapoor; Gang Hua 001; Amir Akbarzadeh; Simon Baker (ICCV, 2009)

Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition. - Ashish Kapoor; Eric Horvitz (NIPS, 2009)

Overview based example selection in end user interactive concept learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (UIST, 2009)

Reports of the AAAI 2009 Spring Symposia. - Jie Bao 001; Uldis Bojars; Tanzeem Choudhury; Li Ding 001; Mark Greaves; Ashish Kapoor; Sandy Louchart; Manish Mehta 001; Bernhard Nebel; Sergei Nirenburg; Tim Oates 001; David L. Roberts 001; et al. (AI Mag., 2009)

People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population. - Ashish Kapoor; Nathan Eagle; Eric Horvitz (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Examining multiple potential models in end-user interactive concept learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (CHI, 2010)

Interactive optimization for steering machine classification. - Ashish Kapoor; Bongshin Lee; Desney S. Tan; Eric Horvitz (CHI, 2010)

Personalization of image enhancement. - Sing Bing Kang; Ashish Kapoor; Dani Lischinski (CVPR, 2010)

Visual recognition and detection under bounded computational resources. - Sudheendra Vijayanarasimhan; Ashish Kapoor (CVPR, 2010)

Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context. - Dahua Lin; Ashish Kapoor; Gang Hua 001; Simon Baker (ECCV (1), 2010)

Modeling Long-Term Search Engine Usage. - Ryen W. White; Ashish Kapoor; Susan T. Dumais (UMAP, 2010)

Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (Int. J. Comput. Vis., 2010)

Effective End-User Interaction with Machine Learning. - Saleema Amershi; James Fogarty; Ashish Kapoor; Desney S. Tan (AAAI, 2011)

CueT: human-guided fast and accurate network alarm triage. - Saleema Amershi; Bongshin Lee; Ashish Kapoor; Ratul Mahajan; Blaine Christian (CHI, 2011)

Collaborative personalization of image enhancement. - Juan C. Caicedo; Ashish Kapoor; Sing Bing Kang (CVPR, 2011)

Learning a blind measure of perceptual image quality. - Huixuan Tang; Neel Joshi; Ashish Kapoor (CVPR, 2011)

Honest signals in video conferencing. - Byungki Byun; Anurag Awasthi; Philip A. Chou; Ashish Kapoor; Bongshin Lee; Mary Czerwinski (ICME, 2011)

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. - Saleema Amershi; Bongshin Lee; Ashish Kapoor; Ratul Mahajan; Blaine Christian (IJCAI, 2011)

Using Multiple Models to Understand Data. - Kayur Patel; Steven Mark Drucker; James Fogarty; Ashish Kapoor; Desney S. Tan (IJCAI, 2011)

Active Graph Reachability Reduction for Network Security and Software Engineering. - Alice X. Zheng; John Dunagan; Ashish Kapoor (IJCAI, 2011)

Efficient Probabilistic Inference with Partial Ranking Queries. - Jonathan Huang; Ashish Kapoor; Carlos Guestrin (UAI, 2011)

Learning to Learn: Algorithmic Inspirations from Human Problem Solving. - Ashish Kapoor; Bongshin Lee; Desney S. Tan; Eric Horvitz (AAAI, 2012)

Performance and Preferences: Interactive Refinement of Machine Learning Procedures. - Ashish Kapoor; Bongshin Lee; Desney S. Tan; Eric Horvitz (AAAI, 2012)

AffectAura: an intelligent system for emotional memory. - Daniel McDuff; Amy K. Karlson; Ashish Kapoor; Asta Roseway; Mary Czerwinski (CHI, 2012)

Memory constrained face recognition. - Ashish Kapoor; Simon Baker; Sumit Basu; Eric Horvitz (CVPR, 2012)

Context-Based Automatic Local Image Enhancement. - Sung Ju Hwang; Ashish Kapoor; Sing Bing Kang (ECCV (1), 2012)

Multilabel Classification using Bayesian Compressed Sensing. - Ashish Kapoor; Raajay Viswanathan; Prateek Jain 002 (NIPS, 2012)

AffectAura: Emotional wellbeing reflection system. - Daniel McDuff; Amy K. Karlson; Ashish Kapoor; Asta Roseway; Mary Czerwinski (PervasiveHealth, 2012)

Riffled Independence for Efficient Inference with Partial Rankings. - Jonathan Huang; Ashish Kapoor; Carlos Guestrin (J. Artif. Intell. Res., 2012)

Food and Mood: Just-in-Time Support for Emotional Eating. - Erin A. Carroll; Mary Czerwinski; Asta Roseway; Ashish Kapoor; Paul Johns; Kael Rowan; Monica M. C. Schraefel (ACII, 2013)

On Recovering Structure of Affect. - Ashish Kapoor; Mary Czerwinski; Diana Lynn MacLean; Alex Zolotovitski (ACII, 2013)

Active Visual Recognition with Expertise Estimation in Crowdsourcing. - Chengjiang Long; Gang Hua 001; Ashish Kapoor (ICCV, 2013)

Lifelong Learning for Acquiring the Wisdom of the Crowd. - Ece Kamar; Ashish Kapoor; Eric Horvitz (IJCAI, 2013)

Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes. - Gloria Zen; John Krumm; Nicu Sebe; Eric Horvitz; Ashish Kapoor (ARTEMIS@ACM Multimedia, 2013)

Active Learning with Model Selection. - Alnur Ali; Rich Caruana; Ashish Kapoor (AAAI, 2014)

Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. - Debadeepta Dey; Andrey Kolobov; Rich Caruana; Ece Kamar; Eric Horvitz; Ashish Kapoor (AAMAS, 2014)

Blind Image Quality Assessment Using Semi-supervised Rectifier Networks. - Huixuan Tang; Neel Joshi; Ashish Kapoor (CVPR, 2014)

Airplanes aloft as a sensor network for wind forecasting. - Ashish Kapoor; Zachary Horvitz; Spencer Laube; Eric Horvitz (IPSN, 2014)

Mining text snippets for images on the web. - 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 001 (KDD, 2014)

Active learning for sparse bayesian multilabel classification. - Deepak Vasisht; Andreas C. Damianou; Manik Varma; Ashish Kapoor (KDD, 2014)

An Interactive Approach to Solving Correspondence Problems. - Stefanie Jegelka; Ashish Kapoor; Eric Horvitz (Int. J. Comput. Vis., 2014)

Collaborative Personalization of Image Enhancement. - Ashish Kapoor; Juan C. Caicedo; Dani Lischinski; Sing Bing Kang (Int. J. Comput. Vis., 2014)

TxMiner: Identifying transmitters in real-world spectrum measurements. - Mariya Zheleva; Ranveer Chandra; Aakanksha Chowdhery; Ashish Kapoor; Paul Garnett (DySPAN, 2015)

Exploiting sparsity and co-occurrence structure for action unit recognition. - Yale Song; Daniel McDuff; Deepak Vasisht; Ashish Kapoor (FG, 2015)

Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. - Ece Kamar; Ashish Kapoor; Eric Horvitz (HCOMP, 2015)

The Activity Platform. - Helen J. Wang; Alexander Moshchuk; Michael Gamon; Shamsi T. Iqbal; Eli T. Brown; Ashish Kapoor; Christopher Meek; Eric Yawei Chen; Yuan Tian 001; Jaime Teevan; Mary Czerwinski; Susan T. Dumais (HotOS, 2015)

On Greedy Maximization of Entropy. - Dravyansh Sharma; Ashish Kapoor; Amit Deshpande 001 (ICML, 2015)

FeatureInsight: Visual support for error-driven feature ideation in text classification. - Michael Brooks; Saleema Amershi; Bongshin Lee; Steven Mark Drucker; Ashish Kapoor; Patrice Y. Simard (VAST, 2015)

Games of drones: an affective game with cyber-physical systems. - David Zhao; Aakanksha Chowdhery; Ashish Kapoor; Shivani Bahl (IPSN, 2015)

A Deep Hybrid Model for Weather Forecasting. - Aditya Grover; Ashish Kapoor; Eric Horvitz (KDD, 2015)

Inferring and Learning from Neuronal Correspondences. - Ashish Kapoor; Edward Paxon Frady; Stefanie Jegelka; William B. Kristan Jr.; Eric Horvitz (CoRR, 2015)

Safe Control under Uncertainty. - Dorsa Sadigh; Ashish Kapoor (CoRR, 2015)

Bayesian inference via rejection filtering. - Nathan Wiebe; Christopher E. Granade; Ashish Kapoor; Krysta M. Svore (CoRR, 2015)

Quantum Inspired Training for Boltzmann Machines. - Nathan Wiebe; Ashish Kapoor; Christopher E. Granade; Krysta M. Svore (CoRR, 2015)

Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. - Nathan Wiebe; Ashish Kapoor; Krysta M. Svore (Quantum Inf. Comput., 2015)

Asking for a second opinion: Re-querying of noisy multi-class labels. - Jack W. Stokes; Ashish Kapoor; Debajyoti Ray (ICASSP, 2016)

Soft, flexible 3D printed fibers for capacitive tactile sensing. - Ashish Kapoor; Michael McKnight; Kony Chatterjee; Talha Agcayazi; Hannah Kausche; Tushar K. Ghosh; Alper Bozkurt (IEEE SENSORS, 2016)

Quantum Perceptron Models. - Ashish Kapoor; Nathan Wiebe; Krysta M. Svore (NIPS, 2016)

Safe Control under Uncertainty with Probabilistic Signal Temporal Logic. - Dorsa Sadigh; Ashish Kapoor (Robotics: Science and Systems, 2016)

Probabilistic Safety Programs. - Ashish Kapoor; Debadeepta Dey; Shital Shah (CoRR, 2016)

Risk-Aware Algorithms for Adversarial Contextual Bandits. - Wen Sun; Debadeepta Dey; Ashish Kapoor (CoRR, 2016)

A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing. - Chengjiang Long; Gang Hua 001; Ashish Kapoor (Int. J. Comput. Vis., 2016)

Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. - Edward Paxon Frady; Ashish Kapoor; Eric Horvitz; William B. Kristan Jr. (Neural Comput., 2016)

Quantum deep learning. - Nathan Wiebe; Ashish Kapoor; Krysta M. Svore (Quantum Inf. Comput., 2016)

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. - Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (FSR, 2017)

Wi-Fly: Widespread Opportunistic Connectivity via Commercial Air Transport. - Talal Ahmad; Ranveer Chandra; Ashish Kapoor; Michael Daum; Eric Horvitz (HotNets, 2017)

Submodular Trajectory Optimization for Aerial 3D Scanning. - Mike Roberts 001; Shital Shah; Debadeepta Dey; Anh Truong; Sudipta N. Sinha; Ashish Kapoor; Pat Hanrahan; Neel Joshi (ICCV, 2017)

Safety-Aware Algorithms for Adversarial Contextual Bandit. - Wen Sun; Debadeepta Dey; Ashish Kapoor (ICML, 2017)

Learning to gather information via imitation. - Sanjiban Choudhury; Ashish Kapoor; Gireeja Ranade; Debadeepta Dey (ICRA, 2017)

No-regret replanning under uncertainty. - Wen Sun; Niteesh Sood; Debadeepta Dey; Gireeja Ranade; Siddharth Prakash; Ashish Kapoor (ICRA, 2017)

Fast second-order cone programming for safe mission planning. - Kai Zhong; Prateek Jain 002; Ashish Kapoor (ICRA, 2017)

FarmBeats: An IoT Platform for Data-Driven Agriculture. - Deepak Vasisht; Zerina Kapetanovic; Jongho Won; Xinxin Jin; Ranveer Chandra; Sudipta N. Sinha; Ashish Kapoor; Madhusudhan Sudarshan; Sean Stratman (NSDI, 2017)

Adaptive Information Gathering via Imitation Learning. - Sanjiban Choudhury; Ashish Kapoor; Gireeja Ranade; Sebastian A. Scherer; Debadeepta Dey (Robotics: Science and Systems, 2017)

Blood Count on a Smartphone Microscope: Challenges. - Uma Parthavi Moravapalle; Amit Deshpande 001; Ashish Kapoor; Ramachandran Ramjee; Priya Ravi (HotMobile, 2017)

Active Learning amidst Logical Knowledge. - Emmanouil A. Platanios; Ashish Kapoor; Eric Horvitz (CoRR, 2017)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 2018)

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. - Benjamin Hepp; Debadeepta Dey; Sudipta N. Sinha; Ashish Kapoor; Neel Joshi; Otmar Hilliges (ECCV (15), 2018)

Verifying Controllers Against Adversarial Examples with Bayesian Optimization. - Shromona Ghosh; Felix Berkenkamp; Gireeja Ranade; Shaz Qadeer; Ashish Kapoor (ICRA, 2018)

Near Real-Time Detection of Poachers from Drones in AirSim. - Elizabeth Bondi; Ashish Kapoor; Debadeepta Dey; James Piavis; Shital Shah; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (IJCAI, 2018)

Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. - Daniel McDuff; Ashish Kapoor (CoRR, 2018)

Identifying Bias in AI using Simulation. - Daniel McDuff; Roger Cheng; Ashish Kapoor (CoRR, 2018)

Data-driven planning via imitation learning. - Sanjiban Choudhury; Mohak Bhardwaj; Sankalp Arora; Ashish Kapoor; Gireeja Ranade; Sebastian A. Scherer; Debadeepta Dey (Int. J. Robotics Res., 2018)

Enabling a Nationwide Radio Frequency Inventory Using the Spectrum Observatory. - Mariya Zheleva; Ranveer Chandra; Aakanksha Chowdhery; Paul Garnett; Anoop Gupta; Ashish Kapoor; Matt Valerio (IEEE Trans. Mob. Comput., 2018)

Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. - Aditya Grover; Jiaming Song; Ashish Kapoor; Kenneth Tran; Alekh Agarwal; Eric Horvitz; Stefano Ermon (DGS@ICLR, 2019)

Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. - Daniel McDuff; Ashish Kapoor (ICLR (Poster), 2019)

Inverse Optimal Planning for Air Traffic Control. - Ekaterina I. Tolstaya; Alejandro Ribeiro; Vijay Kumar 001; Ashish Kapoor (IROS, 2019)

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. - Aditya Grover; Jiaming Song; Ashish Kapoor; Kenneth Tran; Alekh Agarwal; Eric Horvitz; Stefano Ermon (NeurIPS, 2019)

AirSim Drone Racing Lab. - Ratnesh Madaan; Nicholas Gyde; Sai Vemprala; Matthew Brown; Keiko Nagami; Tim Taubner; Eric Cristofalo; Davide Scaramuzza 001; Mac Schwager; Ashish Kapoor (NeurIPS (Competition and Demos), 2019)

Characterizing Bias in Classifiers using Generative Models. - Daniel McDuff; Shuang Ma; Yale Song; Ashish Kapoor (NeurIPS, 2019)

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. - Dean Zadok; Tom Hirshberg; Amir Biran; Kira Radinsky; Ashish Kapoor (SIMULTECH, 2019)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Pietro Perona (CoRR, 2019)

Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. - Rogerio Bonatti; Ratnesh Madaan; Vibhav Vineet; Sebastian A. Scherer; Ashish Kapoor (CoRR, 2019)

Affect-based Intrinsic Rewards for Learning General Representations. - Dean Zadok; Daniel McDuff; Ashish Kapoor (CoRR, 2019)

Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. - Kiwan Maeng; Iskender Kushan; Brandon Lucia; Ashish Kapoor (CoRR, 2019)

Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. - Wenhao Luo; Ashish Kapoor (CoRR, 2019)

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. - Rogerio Bonatti; Ratnesh Madaan; Vibhav Vineet; Sebastian A. Scherer; Ashish Kapoor (IROS, 2020)

Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. - Tom Hirshberg; Sai Vemprala; Ashish Kapoor (IROS, 2020)

TartanAir: A Dataset to Push the Limits of Visual SLAM. - Wenshan Wang; Delong Zhu; Xiangwei Wang; Yaoyu Hu; Yuheng Qiu; Chen Wang 033; Yafei Hu; Ashish Kapoor; Sebastian A. Scherer (IROS, 2020)

Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. - Wenhao Luo; Wen Sun; Ashish Kapoor (NeurIPS, 2020)

Do Adversarially Robust ImageNet Models Transfer Better? - Hadi Salman; Andrew Ilyas; Logan Engstrom; Ashish Kapoor; Aleksander Madry (NeurIPS, 2020)

Denoised Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (NeurIPS, 2020)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Neel Joshi; Pietro Perona (WACV, 2020)

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. - Elizabeth Bondi; Raghav Jain; Palash Aggrawal; Saket Anand; Robert Hannaford; Ashish Kapoor; Jim Piavis; Shital Shah; Lucas Joppa; Bistra Dilkina; Milind Tambe (WACV, 2020)

Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. - Tom Hirshberg; Sai Vemprala; Ashish Kapoor (CoRR, 2020)

Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (CoRR, 2020)

Helping Reduce Environmental Impact of Aviation with Machine Learning. - Ashish Kapoor (CoRR, 2020)

Quantum algorithms for reinforcement learning with a generative model. - Daochen Wang; Aarthi Sundaram; Robin Kothari; Ashish Kapoor; Martin Roetteler (ICML, 2021)

Adversarial Attacks on Optimization based Planners. - Sai Vemprala; Ashish Kapoor (ICRA, 2021)

Modeling Affect-based Intrinsic Rewards for Exploration and Learning. - Dean Zadok; Daniel McDuff; Ashish Kapoor (ICRA, 2021)

Unadversarial Examples: Designing Objects for Robust Vision. - Hadi Salman; Andrew Ilyas; Logan Engstrom; Sai Vemprala; Aleksander Madry; Ashish Kapoor (NeurIPS, 2021)

Representation Learning for Event-based Visuomotor Policies. - Sai Vemprala; Sami Mian; Ashish Kapoor (NeurIPS, 2021)

Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection. - Robert DeBortoli; Fuxin Li; Ashish Kapoor; Geoffrey A. Hollinger (IEEE Robotics Autom. Lett., 2021)

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. - Daniel McDuff; Yale Song; Jiyoung Lee; Vibhav Vineet; Sai Vemprala; Nicholas Gyde; Hadi Salman; Shuang Ma; Kwanghoon Sohn; Ashish Kapoor (CLeaR, 2022)

Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. - Arthur Bucker; Luis F. C. Figueredo; Sami Haddadin; Ashish Kapoor; Shuang Ma; Rogerio Bonatti (IROS, 2022)

Learning to Simulate Realistic LiDARs. - Benoît Guillard; Sai Vemprala; Jayesh K. Gupta; Ondrej Miksik; Vibhav Vineet; Pascal Fua; Ashish Kapoor (IROS, 2022)

COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. - Shuang Ma; Sai Vemprala; Wenshan Wang; Jayesh K. Gupta; Yale Song; Daniel McDuff; Ashish Kapoor (IROS, 2022)

Learning Modular Simulations for Homogeneous Systems. - Jayesh K. Gupta; Sai Vemprala; Ashish Kapoor (NeurIPS, 2022)

3DB: A Framework for Debugging Computer Vision Models. - 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 (NeurIPS, 2022)

Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions. - Wenhao Luo; Wen Sun; Ashish Kapoor (WAFR, 2022)

Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. - Jiachen Lei; Shuang Ma; Zhongjie Ba; Sai Vemprala; Ashish Kapoor; Kui Ren 001 (CoRR, 2022)

Formal Verification of Floating-Point Division. - Ashish Kapoor; Warren E. Ferguson; Himanshu Jain; Sudipta Kundu (ARITH, 2023)

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. - Yao Wei 002; Yanchao Sun; Ruijie Zheng; Sai Vemprala; Rogerio Bonatti; Shuhang Chen; Ratnesh Madaan; Zhongjie Ba; Ashish Kapoor; Shuang Ma (ICCV, 2023)

SMART: Self-supervised Multi-task pretrAining with contRol Transformers. - Yanchao Sun; Shuang Ma; Ratnesh Madaan; Rogerio Bonatti; Furong Huang; Ashish Kapoor (ICLR, 2023)

ClimaX: A foundation model for weather and climate. - Tung Nguyen; Johannes Brandstetter; Ashish Kapoor; Jayesh K. Gupta; Aditya Grover (ICML, 2023)

LATTE: LAnguage Trajectory TransformEr. - Arthur Bucker; Luis F. C. Figueredo; Sami Haddadin; Ashish Kapoor; Shuang Ma; Sai Vemprala; Rogerio Bonatti (ICRA, 2023)

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. - Rogerio Bonatti; Sai Vemprala; Shuang Ma; Felipe Frujeri; Shuhang Chen; Ashish Kapoor (IROS, 2023)

ConBaT: Control Barrier Transformer for Safe Policy Learning. - Yue Meng; Sai Vemprala; Rogerio Bonatti; Chuchu Fan; Ashish Kapoor (CoRR, 2023)

GRID: A Platform for General Robot Intelligence Development. - Sai Vemprala; Shuhang Chen; Abhinav Shukla; Dinesh Narayanan; Ashish Kapoor (CoRR, 2023)

ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. - Yue Meng; Sai Vemprala; Rogerio Bonatti; Chuchu Fan; Ashish Kapoor (ICRA, 2024)

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. - Anish Bhattacharya; Ratnesh Madaan; Fernando Cladera Ojeda; Sai Vemprala; Rogerio Bonatti; Kostas Daniilidis; Ashish Kapoor; Vijay Kumar 001; Nikolai Matni; Jayesh K. Gupta (WACV, 2024)

Foundation Models for Aerial Robotics. - Ashish Kapoor (WSDM, 2024)

ChatGPT for Robotics: Design Principles and Model Abilities. - Sai Vemprala; Rogerio Bonatti; Arthur Bucker; Ashish Kapoor (IEEE Access, 2024)

Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning. - Parv Kapoor; Sai Vemprala; Ashish Kapoor (CoRR, 2024)

MatMamba: A Matryoshka State Space Model. - Abhinav Shukla; Sai Vemprala; Aditya Kusupati; Ashish Kapoor (CoRR, 2024)

Foundation models in robotics: Applications, challenges, and the future. - Roya Firoozi; John Tucker 001; Stephen Tian; Anirudha Majumdar; Jiankai Sun; Weiyu Liu; Yuke Zhu; Shuran Song; Ashish Kapoor; Karol Hausman; Brian Ichter; Danny Driess; et al. (Int. J. Robotics Res., 2025)

Pretrained Embeddings as a Behavior Specification Mechanism. - Parv Kapoor; Abigail Hammer; Ashish Kapoor; Karen Leung; Eunsuk Kang (CoRR, 2025)