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Hello!
I’m Nikita Durasov, a Research Scientist at NVIDIA (
), bridging the gap between state-of-the-art research and scalable AV products by building robust perception and planning for self-driving cars.
Before that, I worked at Apple, Amazon, and Samsung AI on various deep learning and computer vision problems. I did my PhD at EPFL (🇨🇭), where I worked with Pascal Fua at the CVLAB, mostly focusing on model uncertainty, robustness, and generalization.
Research
I'm broadly interested in enhancing the generalization, robustness, safety, and interpretability of modern deep learning models. Consequently, I work extensively on data-centric, active learning, uncertainty quantification, and generalization approaches. For a non-exhaustive list of my research interests, refer to my Google Scholar.
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
- 01/04/2025: "Test-Time Training methods for Generalization" was presented at AI Tinkerers in Lausanne, Switzerland. [demo]
- 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]