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Hello!
I’m Nikita Durasov, a PhD student at EPFL IC (🇨🇭) where I work under the supervision of Professor Pascal Fua at the Computer Vision Laboratory on problems related to Deep Learning (🤖) and Computer Vision (👁).
Previously, I was a research scientist at NVIDIA, Apple, Amazon, and Samsung AI, working on problems related to Computer Vision and Deep Learning. I completed my bachelor's degree at MIPT (🇷🇺) in Applied Physics and Mathematics while also studying at the Yandex School of Data Analysis.
Research
I'm broadly interested in enhancing the interpretability and robustness of modern deep learning models through uncertainty quantification and bayesian methods.
Consequently, I'm also curious about new approaches to active learning, bayesian optimization, and other data-efficient techniques for various domains.
Mostly, my research is focused on computer vision and image processing tasks, but it is not limited to them. Occasionally, I delve into natural language processing and reinforcement learning.
I have also contributed as a reviewer for various academic conferences and journals, such as: CVPR NeurIPS ICLR ICML ICCV ECCV ICRA IROS ACCV RA-L IJCV AISTATS TPAMI TMLR, and other (full list).
Publications
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua
TMLR 2024 ICMLW 2024
openreview | pdf | code | page
Preprints
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
Nikita Durasov, Nik Dorndorf, Pascal Fua
ARXIV 2022
Invited Talks
- 13/02/2025: "Uncertainty and Generalization in CV" was presented at LauzHack DL Bootcamp in Lausanne, Switzerland. [slides] [video]
- 15/08/2024: "Deep Uncertainty" was presented at Mila - Quebec AI Institute in Montréal, Canada.
- 10/04/2024: "Deep Uncertainty" was presented at UiT The Arctic University of Norway in Tromsø, Norway.
- 12/02/2024: "Deep Uncertainty" was presented at MBZUAI in Abu Dhabi, UAE.
- 08/01/2024: "Low-cost Uncertainty Estimation for Deep Learning" at CVLAB Group Meeting in Lausanne, Switzerland.
- 02/10/2023: "Deep Uncertainty" was presented at Nordic AI Conference in Copenhagen, Sweden.
- 17/08/2023: "Deep Uncertainty" was presented at Stony Brook University in New York, USA.
- 16/08/2023: "Deep Uncertainty" was presented at NYU Courant Institute in New York, USA.
- 09/08/2023: "Deep Uncertainty" was presented at Apple's Park in Cupertino, USA.
- 08/08/2023: "Deep Uncertainty" was presented at Meta in San Francisco, USA.
- 13/12/2022: "Masksembles for Uncertainty Estimation" at Uncertainty Reading Group at ETH in Zurich, Switzerland. [video]
- 30/09/2022: "Enhanced Robustness of Transformer Detectors for Handling Omissions in Ground Truth Data" at Apple Development Center in Zurich, Switzerland.
- 26/08/2022: "Single-shot Uncertainty Estimation" at CVLAB Group Meeting in Lausanne, Switzerland.
- 26/04/2022: "Partial Active Learning with Incomplete Annotations" at VILAB Group Meeting in Lausanne, Switzerland.
- 20/12/2021: "Robust Prediction of Stereo Disparity Under Uncertainty" at Amazon Prime Air in Graz, Austria.
- 22/06/2021: "Masksembles for Uncertainty Estimation" at CVPR 2021. [video] [paper]