kevin frans blog
Hey, I'm Kevin. I am a PhD student at BAIR advised by Pieter Abbeel and Sergey Levine. I did my B.S. and M.Eng at MIT with Phillip Isola. Previously I also spent time at OpenAI. I am interested in reinforcment learning, neural network optimization, unsupervised learning and generative modelling.
An Alchemist's Notes on Deep Learning I've been taking a set of detailed notes on this site, with runnable IPython notebooks. I update these notes the most, so please read here! Last updated Nov 2025. What Really Matters in Matrix-Whitening Optimizers? A quick look at modern optimizers and how to understand their parts. [Oct 2025] One-Step Diffusion via Shortcut Models Simple techniques to enable one-step generation in flow models. [Sep 2024] 28 May 2025 Alchemist's Notes on Deep Learning 19 Dec 2023 Small-Research: Tanh Activations with DDPG 19 Dec 2023 Small-Research: Policy…
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