Dishank Bansal

Namaste! Bonjour! I am a :mortar_board: MSc Student in Computer Science at Mila and University of Montreal. I work on robot learning at Robotics and Embodied AI Lab under supervision of Prof. Liam Paull. My current reserach vision is to leverage bayesian deep learning methods for robotics as to make a probabilistic deep robotics stack.

Before joining as Master’s student, I was an intern for a year under Prof. Liam Paull. Before that I was undergraduate student at IIT Kharagpur, where I spent all of my time at AGV under supervision of Prof. Debashish Chakravarty working on perception and embbeded-control systems for autonomous vehicles.

I am a avid chess and badminton player (not professionally).


Jan 1, 2022 :page_facing_up: Our f-cal paper got accepted at ICRA 2022.
Dec 1, 2021 :trophy: Got Thesis writing scholarship by Department of Computer Science and Operations Research, UdeM.
Sep 1, 2020 :mortar_board: Starting MSc at Mila under Prof. Liam Paull
Jul 1, 2020 :page_facing_up: Paper accepted at AI for Autonomous Driving Workshop at ICML 2020.
Jul 1, 2019 Starting internship at Mila under Prof. Liam Paull, moving to Montreal :airplane:

Selected Publications

  1. f-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
    Bhatt, Dhaivat, Mani, Kaustubh, Bansal, Dishank, Murthy, Krishna, Lee, Hanju, and Paull, Liam
    IEEE International Conference on Robotics and Automation 2022
  2. Probabilistic Object Detection: Strengths, Weaknesses, Opportunities
    Bhatt, Dhaivat*, Bansal, Dishank*, Gupta, Gunshi*, Lee, Hanju, Jatavallabhula, Krishna Murthy, and Paull, Liam
    AIAD Workshop, ICML 2020