Tanmay Shankar

According to our database, Tanmay Shankar authored at least 10 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Show, Don't Tell: Detecting Novel Objects by Watching Human Videos.

James Akl, Jose Nicolas Avendano Arbelaez, James Barabas, Jennifer L. Barry, Kalie Ching, Noam Eshed, Jiahui Fu, Michel Hidalgo, Andrew Hoelscher, Tushar Kusnur, Andrew Messing, Zachary Nagler, Brian Okorn, Mauro Passerino, Tim J. Perkins, Eric Rosen, Ankit Shah, Tanmay Shankar, Scott Shaw

CoRR, March, 2026

2025

Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles With a Sample-Efficient, Differentiable Brush Stroke Model.

Lawrence Chen, Peter Schaldenbrand, Tanmay Shankar, Lia Coleman, Jean Oh

IEEE Robotics Autom. Lett., June, 2025

2024

Learning and Translating Temporal Abstractions of Behaviour across Humans and Robots

Tanmay Shankar

PhD thesis, 2024

Translating Agent-Environment Interactions from Humans to Robots.

Tanmay Shankar, Chaitanya Chawla, Almutwakel Hassan, Jean Oh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2022

Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots.

Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh

Proceedings of the International Conference on Machine Learning, 2022

2020

Learning Robot Skills with Temporal Variational Inference.

Tanmay Shankar, Abhinav Gupta

Proceedings of the 37th International Conference on Machine Learning, 2020

Discovering Motor Programs by Recomposing Demonstrations.

Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Learning to Sequence Robot Behaviors for Visual Navigation.

Hadi Salman, Puneet Singhal, Tanmay Shankar, Peng Yin, Ali Salman, William Paivine, Guillaume Sartoretti, Matthew J. Travers, Howie Choset

CoRR, 2018

Learning Neural Parsers with Deterministic Differentiable Imitation Learning.

Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2016

Reinforcement Learning via Recurrent Convolutional Neural Networks.

Tanmay Shankar, Santosha K. Dwivedy, Prithwijit Guha

Proceedings of the 23rd International Conference on Pattern Recognition, 2016