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Dishank Bansal
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2020 – today
- 2023
- [c2]Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos:
TaskMet: Task-driven Metric Learning for Model Learning. NeurIPS 2023 - [i3]Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos:
TaskMet: Task-Driven Metric Learning for Model Learning. CoRR abs/2312.05250 (2023) - 2022
- [c1]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: 6533-6539 - 2021
- [i2]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 abs/2109.13913 (2021)
2010 – 2019
- 2018
- [i1]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 abs/1801.03425 (2018)
Coauthor Index
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last updated on 2024-04-24 22:56 CEST by the dblp team
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