| 2022 | ICRA | SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. | Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska |
| 2020 | CoRL | 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 |
| 2018 | CVPR | PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. | Danfei Xu, Dragomir Anguelov, Ashesh Jain |
| 2016 | CVPR | Structural-RNN: Deep Learning on Spatio-Temporal Graphs. | Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena |
| 2016 | ICRA | Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture. | Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena |
| 2015 | ICCV | Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. | Ashesh Jain, Hema Swetha Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena |
| 2015 | ICRA | PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback. | Ashesh Jain, Debarghya Das, Jayesh K. Gupta, Ashutosh Saxena |
| 2013 | ISRR | Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback. | Ashesh Jain, Shikhar Sharma, Ashutosh Saxena |
| 2012 | KDD | SPF-GMKL: generalized multiple kernel learning with a million kernels. | Ashesh Jain, S. V. N. Vishwanathan, Manik Varma |