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ICLR 2023 reviews are out! Incredible work by the entire community that went into this. 18500+ reviews and 99+% of submissions with 3+ reviews

This is probably my favorite graph from the #ICLR2023 review release. It's a heavy-tailed distribution that nicely shows 1) our anxiety-level around 10/23 😅 2) the amazing push of ACs, SACs & (emergency) reviewers to submit everything in time thru the bump at the end ❤️

**Flow Matching** (#ICLR2023 spotlight) offers a simple simulation-free method for training flow-based generative models, generalizing and improving upon diffusion models in training speed, sampling efficiency, and generation quality. Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le

Yaron Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le I wanted to check how Flow Matching-OT worked in practice and ... it is GREAT! It is very easy to implement and trains super fast. Here is a PyTorch demo in only a 100 lines of code: gist.github.com/francois-rozet…

Excited to share our new work on Riemannian Flow Matching. Unlike diffusion-based approaches, it’s - completely simulation-free on simple manifolds, - trivially applies to higher dimensions, - tractably generalizes to general geometries! arxiv.org/abs/2302.03660 w/ Yaron Lipman

📣 A new #ICML2023 paper investigates the Kinetic Energy of Gaussian Probability Paths which are key in training diffusion/flow models. A surprising takeaway: In high dimensions *linear* paths (Cond-OT) are Kinetic Optimal! Led by Neta Shaul w/ Ricky T. Q. Chen Matt Le Maximilian Nickel

I'm very happy that I had the chance to collaborate with David Liu Maximilian Nickel (and twitterless Nico Usunier, as always!) on a #FAccT2023 paper on group fairness without demographics, a topic I particularly care about 😌 arxiv.org/abs/2305.11361 @MetaAI

I had a wonderful time attending and presenting ACM FAccT last week. To reflect on the experience and sum up what I learned, I wrote the following blog post, featuring data work, Algorithmic Impact Assessments, and hotpot (thanks to Angela Zhou!) medium.com/@david-liu/sev…

Excited to share our #icml2024 workshop on "Humans, Algorithmic-Decision Making, and Society"! See below for the amazing group of speakers and call for papers. Ana Stoica Fariba Karimi Manish Raghavan Milind Tambe (moving @milindtambe-ai.bsky.social) Laura Weidinger @tinaeliassi Hoda Heidari

State of the are video generation with AI at Meta Movie Gen 😎 Brought to you by Flow Matching 🪭Fantastic work by Ishan Misra and team!