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Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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nikitadurasov/README.md

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.

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  • 🔭 Research: Published in CVPR, ICCV, ICML on topics like neural network robustness, uncertainty, and computer vision.
  • 🌱 Industry Experience: Collaborated with NVIDIA, Apple, Amazon, and Samsung on AI and ML solutions.
  • 🎓 Education: PhD in Computer Science from EPFL, where I focused on model uncertainty and generalization.

🛠️ Tools & Technologies

Python PyTorch TensorFlow scikit-learn Lightning OpenCV HuggingFace

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  1. masksembles masksembles Public

    Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

    Python 101 16

  2. torch-ttt torch-ttt Public

    A modular and easy-to-use framework for Test-Time Training (TTT) and Test-Time Adaptation (TTA) in Pytorch, making your networks more generalizable with minimal effort ✨

    Python 24 1

  3. cvlab-epfl/iter_unc cvlab-epfl/iter_unc Public

    Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

    Jupyter Notebook 18 1

  4. cvlab-epfl/zigzag cvlab-epfl/zigzag Public

    Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)

    Jupyter Notebook 16 4

  5. ittt ittt Public

    Official code for "IT³: Idempotent Test-Time Training" (ICML 2025)

    Jupyter Notebook 14 1

  6. SPD_reduce SPD_reduce Public

    This repo is dedicated to Deep Manifold Learning of Symmetric Positive Definite (SPD) Matrices with Application to Face Recognition article from AAAI 2017.

    Python 7 3