Dishank Bansal

According to our database, Dishank Bansal authored at least 4 papers between 2018 and 2023.

Collaborative distances:

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

2023

TaskMet: Task-driven Metric Learning for Model Learning.

Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression.

Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception.

Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull

CoRR, 2021

2018

Design, Analysis & Prototyping of a Semi-Automated Staircase-Climbing Rehabilitation Robot.

Siddharth Jha, Himanshu Chaudhary, Swapnil Satardey, Piyush Kumar, Ankush Roy, Aditya Deshmukh, Gopabandhu Hota, Dishank Bansal, Saurabh Mirani

CoRR, 2018