Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team Tatsunori Hashimoto Marcel Rød Neil Band Rohith Kuditipudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:

There is still time to become a reviewer for NeurIPS Conference 2025 Workshop DynaFront (Dynamics at the Frontiers of Optimization, Sampling, and Games) Plz register at docs.google.com/forms/d/e/1FAI… You can also submit high quality manuscripts till Aug 22. sites.google.com/view/dynafront…

Georgia Tech AI4Science Center is soft launched, and I'm excited to be an Associate Director. ai4science.ai.gatech.edu Collaboration+Participation of all kinds are welcomed. Please get in touch! Thanks to gtsciences for supports. Retweets appreciated! Georgia Tech #AI4Science

By popular demand, #NeurIPS2025 Workshop on "Dynamics at the Frontiers of Optimization, Sampling, and Games" (DynaFront) has its submission deadline extended to August 29 (AoE). Please submit high quality work at openreview.net/group?id=NeurI…

On the coming Tuesday (Aug 26th), we will have Yuchen Zhu talking about “Beyond Euclidean data: Lie group and multimodal diffusion models"🚀, from 5pm to 6pm (UK time). Join us via zoom: us05web.zoom.us/j/7780256206?p… See more information below 👇

Proud of my junior collaborators Kijung Jeon Yuchen Yuchen Zhu Wei Wei Guo Jaemoo @jaemoo51133 Avrajit Avrajit Ghosh Lianghe Shi Yinuo Yinuo Ren Haoxuan Haoxuan (Steve) Chen - 6 joint #NeurIPS2025 main track paper! Lucky to have you Wanna join us? Will post recruit info soon.

Super happy to share our new work on “Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion” or TR2-D2! 🤖🌳 Inspired by the incredible success of off-policy reinforcement learning (RL), TR2-D2 introduces a general framework that combines off-policy RL with tree

Success of RL post-training hinges on the quality of generated rollouts, but high-reward targets are sparsely scattered in the vast state space, hindering the effectiveness of reward optimization💫. 🧩Solution? 💡𝐒𝐞𝐚𝐫𝐜𝐡-𝐭𝐲𝐩𝐞 Inference-time Scaling +

arxiv.org/abs/2510.01021

A short-and-sweet guide to developing research questions published in nature. Lots of good advice here 👍

+1 way to apply for postdoc in ML theory Georgia Tech This one arc.gatech.edu/postdocs/ is for 2 yrs. You can work with both me & other faculty in Math, CS & ISyE. Other positions (3 yr): AI4Science: mathjobs.org/jobs/list/27316 regular: mathjobs.org/jobs/list/27343 mathjobs.org/jobs/list/27344

Drowning in the sea of Discrete Diffusion papers? 🌊 We got you. Join our Reading Group! From theory → empirics, and language → molecules — we’ll decode the chaos together 💫 Join the cult—uh, I mean community 😇 👉 Google Group:  groups.google.com/g/diffusion-ll… (1 / 2)

A dream team that I wish I could join.

My awesome student Lingkai Kong konglk1203 is graduating & looking for a frontier lab He developed SOTA for optimization, sampling & generative modeling on manifolds. E.g., manifold optimization underpins preconditioned optimizers for training large models Grab him if you can!