Quentin Berthet @ AISTATS

@qberthet.bsky.social

Machine learning Google DeepMind Paris

🚨 New paper: Introducing MIND (Monge Inception Distance) Everyone agrees that FID is broken, requires too many samples, slowing down evals. MIND requires 10x fewer samples, is more robust, faster to compute. Our new drop-in replacement for evaluating generative models. 🧵👇

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Today NeurIPS is announcing our official satellite event in Paris. After responding to the call from Ellis following the success of EurIPS in December, we are pleased to reach a new milestone by joining forces with the NeurIPS organizing committee for the 2026 edition.

Arrived #NeurIPS2025 ☀️ If you're interested in the interplay of Geometry, Topology, Algebra w/ Neuroscience & AI, I'll give 2 talks on Sunday: 🌐11:30am: The Algebra of Spatial Navigation (Groups & grid cells) 🍩1:30pm: Topological Deep Learning (Complexes & Graphs) More👇

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I've got to say, the guy who accidentally became the Director of the FBI does 100% look like the guy who accidentally becomes the Director of the FBI in a mid-2000s comedy about a guy who accidentally becomes the Director of the FBI

Brian Driscoll, the acting director of the FBI, sporting curly hair, a kinda rakish jazz dirtbag moustache and beard combo, a faintly amused look in his eyes and a wry "whaddaya gonna do" smirk

🚀 Policy gradient methods like DeepSeek’s GRPO are great for finetuning LLMs via RLHF. But what happens when we swap autoregressive generation for discrete diffusion, a rising architecture promising faster & more controllable LLMs? Introducing SEPO ! 📑 arxiv.org/pdf/2502.01384 🧵👇

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