Grigoris Chrysos
363 posts
@Grigoris_c
Assistant Professor at @UWMadison. Interested in Reliable ML. https://t.co/Sy3v4o7vHo
In the last few months, I've spoken to many CS professors who asked me if we even need CS PhD students anymore. Now that we have coding agents, can't professors work directly with agents? My view is that equipping PhD students with coding agents will allow them to do work that is orders of magnitude more impressive than they otherwise could. And they can be *accountable* for their outcomes in a way agents can't (yet). For example, who checks the agent's outputs are correct? Who is responsible for mistakes or errors?
My thesis is now accessible online! I've tried to make it the introduction to non-Euclidean methods and monotone operators that I wish I had when starting out. 1/n infoscience.epfl.ch/entities/publi…
Meet Tabby 🐱- a simple architecture tweak that makes LLMs respect columns. New TMLR paper (receiving a special J2C distinction—come check it out at ICLR!) led by @SonNicCr shows how a tiny modification turns pretrained LLMs into state-of-the-art tabular data generators. 🧵1/9
Excited to share that I joined KRAFTON (known as the @PUBG company) as the inaugural CAIO 😄 @Krafton_AI (the AI R&D entity at KRAFTON) is already probably the strongest AI R&D entity for AI for gaming worldwide, and one of the best AI R&D entities in Korea. And we are not stopping there. We will continue developing foundation research and applying it to advance AI for gaming: AI for better gaming experiences (stay tuned for PUBG Ally!) and AI for game development. More about KRAFTON AI here: krafton.ai In addition to making KRAFTON AI the best AI x Gaming organization, for longer-term goals, we are committed to conducting world-class R&D in physical AI, leveraging the intersection between the gaming and AI technology we have and physical AI. Toward this goal, we founded a new physical AI company, @LudoRobotics, and I will be the CTO of it. We are just getting started, and I am really excited about what we can build! We are hiring in the Bay Area and Seoul, so if this sounds like your kind of problem, please reach out :-)
Decisions for @CVPR 2026 are out—congratulations to all authors. I’m excited to share a community step forward: the new CVPR Findings Track. Area Chairs recommended 1717 papers for potential inclusion, creating a principled pathway to recognize and share valuable work that may not be the best fit for the main program—while still enabling authors to publish and present through integrated Findings poster sessions. As our field scales, we need not only better models—but better community infrastructure. This effort is led collectively by the Findings organizing team—Bryan Plummer, Kevin Shih, @anand_bhattad, @jccaicedo, @Grigoris_c, @BoqingGo, @liuziwei7, and me. Huge thanks to the CVPR General Chairs, Program Chairs, and especially the Area Chairs for supporting this step forward. Looking forward to seeing many of you at CVPR 2026—across the main program, Findings, and workshops.
