Dishank Bansal

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 5

Top Topics

Sensory Information

Metric Learning

Decision Theory

Top Venues

Publications

Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos
TaskMet: Task-Driven Metric Learning for Model Learning. CoRR (2023)
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos
TaskMet: Task-driven Metric Learning for Model Learning. NeurIPS (2023)
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. ICRA (2022)
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. CoRR (2021)
Siddharth Jha, Himanshu Chaudhary, Swapnil Satardey, Piyush Kumar, Ankush Roy, Aditya Deshmukh, Gopabandhu Hota, Dishank Bansal, Saurabh Mirani
Design, Analysis & Prototyping of a Semi-Automated Staircase-Climbing Rehabilitation Robot. CoRR (2018)