lioutasb (Vasileios Lioutas) · GitHub
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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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@inverted-ai

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lioutasb/README.md

Hi there 👋

I'm a Machine Learning Research Scientist working in the San Francisco Bay Area.

  • 🚗 I'm currently at Nuro, working on planning and behavior prediction for autonomous driving, plus foundation models and simulation.
  • 🎓 I finished my PhD in Computer Science at the University of British Columbia (UBC) in 2025, advised by Frank Wood, with a thesis on realistic controllable driving simulators.
  • 🏢 Previously a Research Scientist at Inverted AI (multi-agent driving simulation), and before that an ML Research Associate at Huawei Noah's Ark Lab (model compression and multilingual NMT).
  • 🏫 M.Sc. from Carleton University and B.Sc. from the Aristotle University of Thessaloniki.
  • 🔬 I work on generative modeling, probabilistic inference, and RL, with a focus on turning research into impactful products. 20+ papers at ICML, ICLR, NeurIPS, and ACL.
  • 🤖 More on my research: Google Scholar.
  • 💬 Ping me about anything generative modeling / autonomous driving / ML research related.
  • 📫 Reach me: Website | LinkedIn | Twitter

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  1. TaLKConvolutions TaLKConvolutions Public

    Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

    Python 29 6

  2. inverted-ai/torchdrivesim inverted-ai/torchdrivesim Public

    TorchDriveSim - a differentiable traffic simulator in PyTorch

    Python 43 2

  3. Intro-to-DL-and-RL Intro-to-DL-and-RL Public

    Assignment solutions for the graduate course "Introduction to Deep Learning and Reinforcement Learning" Fall 2018

    Jupyter Notebook 5 3