Peter Holderrieth

@peholderrieth

CS PhD student at @MIT • Prev: Stats/Neuro @OxfordUni• Math at @UniBonn • Former: @NVIDIA, @AIatMeta

peterholderrieth.com

Joined July 2022

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5,048 Followers

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Peter Holderrieth
@peholderrieth
Mar 18
🚀MIT Flow Matching and Diffusion Lecture 2026 Released (diffusion.csail.mit.edu)! We just released our new MIT 2026 course on flow matching and diffusion models! We teach the full stack of modern AI image, video, protein generators - theory and practice. We include: 📺 Videos:
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Peter Holderrieth
@peholderrieth
Jul 29
Very elegant distillation method for flow models! This works just out-of-the-box and is both simple and scalable!
Neta Shaul
@shaulneta
Jul 29
1/ New paper: Parallel Decoding Distillation (PDD)!🚀 To accelerate diffusion/flow models, trajectory distillation usually merges consecutive ODE steps into 1 larger step. PDD changes this by predicting MULTIPLE ODE steps in 1 network eval.🧵 w/ @julberner @ArashVahdat Chao Liu
Peter Holderrieth
@peholderrieth
Jun 21
Hi everyone! I’ve moved to the Bay Area for a summer research internship at @nvidia. Beyond exciting work, I'd love to meet new people doing exciting stuff (incl. stuff I don't work on myself rn!). If you’re around, I’d love to connect! Even if just for a jam session!
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Peter Holderrieth
@peholderrieth
Jun 11
Check out our DeCAF model! We and many others promoted for a while that inference-time scaling with flow maps is the way to go. It is super cool to see this working on protein-ligand co-folding models. Excited to see what these ideas will unlock for proteins in the future!
Joey Bose
@bose_joey
Jun 10
Protein–ligand cofolding models are getting incredibly powerful… but do they have to be so slow? 🧬🐢💊 Our new preprint introduces a new flow-map framework called DeCAF for fast few-step cofolding — up to 5× faster while preserving sample quality on the SOTA Pearl model and
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Peter Holderrieth
@peholderrieth
Jun 10
Wonderful tutorial by @ArashVahdat, @julberner, and @wn8_nie about making diffusion go fast, e.g. enabling cool applications like interactive world models!
Julius Berner
@julberner
Jun 9
From theory to interactive world models ⚡️ The slides for our #CVPR2026 tutorial on accelerated diffusion models are online now! Topics covered: 1️⃣ General acceleration paradigms (@ArashVahdat) 2️⃣ Step-Distillation (@julberner) 3️⃣ Interactive World Models (@wn8_nie) Check out
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