SPF-GMKL: generalized multiple kernel learning with a million kernels. - Ashesh Jain; S. V. N. Vishwanathan; Manik Varma (KDD, 2012)

Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback. - Ashesh Jain; Shikhar Sharma 001; Ashutosh Saxena (ISRR, 2013)

Learning Trajectory Preferences for Manipulators via Iterative Improvement. - Ashesh Jain; Brian Wojcik; Thorsten Joachims; Ashutosh Saxena (NIPS, 2013)

Learning Trajectory Preferences for Manipulators via Iterative Improvement. - Ashesh Jain; Thorsten Joachims; Ashutosh Saxena (CoRR, 2013)

Anticipatory Planning for Human-Robot Teams. - Hema Swetha Koppula; Ashesh Jain; Ashutosh Saxena (ISER, 2014)

PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback. - Ashesh Jain; Debarghya Das; Ashutosh Saxena (CoRR, 2014)

RoboBrain: Large-Scale Knowledge Engine for Robots. - Ashutosh Saxena; Ashesh Jain; Ozan Sener; Aditya Jami; Dipendra Kumar Misra; Hema Swetha Koppula (CoRR, 2014)

Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. - Ashesh Jain; Hema Swetha Koppula; Bharad Raghavan; Shane Soh; Ashutosh Saxena (ICCV, 2015)

PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback. - Ashesh Jain; Debarghya Das; Jayesh K. Gupta; Ashutosh Saxena (ICRA, 2015)

Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. - Ashesh Jain; Hema Swetha Koppula; Bharad Raghavan; Ashutosh Saxena (CoRR, 2015)

Learning preferences for manipulation tasks from online coactive feedback. - Ashesh Jain; Shikhar Sharma 001; Thorsten Joachims; Ashutosh Saxena (Int. J. Robotics Res., 2015)

Structural-RNN: Deep Learning on Spatio-Temporal Graphs. - Ashesh Jain; Amir R. Zamir; Silvio Savarese; Ashutosh Saxena (CVPR, 2016)

Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture. - Ashesh Jain; Avi Singh; Hema Swetha Koppula; Shane Soh; Ashutosh Saxena (ICRA, 2016)

Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture. - Ashesh Jain; Hema Swetha Koppula; Shane Soh; Bharad Raghavan; Avi Singh; Ashutosh Saxena (CoRR, 2016)

Learning from Natural Human Interactions for Assistive Robots. - Ashesh Jain (2016)

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. - Danfei Xu; Dragomir Anguelov; Ashesh Jain (CVPR, 2018)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Long Chen; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRL, 2020)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRR, 2020)

Autonomy 2.0: Why is self-driving always 5 years away? - Ashesh Jain; Luca Del Pero; Hugo Grimmett; Peter Ondruska (CoRR, 2021)

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. - Matt Vitelli; Yan Chang; Yawei Ye; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (CoRR, 2021)

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. - Matt Vitelli; Yan Chang; Yawei Ye; Ana Ferreira 011; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (ICRA, 2022)