- π I'm currently at Nuro, working on planning and behavior prediction for autonomous driving, plus foundation models and simulation.
- π 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.
- π’ 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).
- π« M.Sc. from Carleton University and B.Sc. from the Aristotle University of Thessaloniki.
- π¬ 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.
- π€ More on my research: Google Scholar.
- π¬ Ping me about anything generative modeling / autonomous driving / ML research related.
- π« Reach me: Website | LinkedIn | Twitter
π€
ML Research Scientist @ Nuro | Ph.D. in Machine Learning @ UBC
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Nuro.ai
- Mountain View, California
- https://www.vlioutas.com/
- @billiout
- in/vasileioslioutas
Highlights
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TaLKConvolutions
TaLKConvolutions PublicOfficial PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
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inverted-ai/torchdrivesim
inverted-ai/torchdrivesim PublicTorchDriveSim - a differentiable traffic simulator in PyTorch
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Intro-to-DL-and-RL
Intro-to-DL-and-RL PublicAssignment solutions for the graduate course "Introduction to Deep Learning and Reinforcement Learning" Fall 2018
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