🔍 Superresolution misalignment? Conditional diffusion/flow models falter when low-res and high-res data don’t align. Meet Stochastic Flow Matching—a framework mapping low-res to latent space, bridging high-res targets effectively. 📝 Paper: arxiv.org/abs/2410.19814

My group will be hiring several PhD students next year. I can’t reveal the details before the official announcement at NeurIPS, but this involves an exciting collaboration with a well-known non-profit on #AI4Science and serious compute power. Stay tuned and apply at UCI!

Thrilled to share that my group at #UCI is partnering with the Chan Zuckerberg Initiative Initiative to advance generative AI for science and cell biology! With world-class domain expertise and compute support, we’re pushing boundaries— all research outcomes will be open source. 🚀

I am happy to announce that the first draft of my RL tutorial is now available. arxiv.org/abs/2412.05265

🚀 Internship Opportunity @ NVIDIA 🚀 We are seeking highly motivated Ph.D. students in #ML and #AI to join the Fundamentals of Gen-AI Research Group as summer #interns in 2025! #NVIDIA #GenerativeAI #PhDInternship

Can discrete diffusion-based generative models outperform GPT-based next-token predictive models in molecular tasks? Learn about GenMol, NVIDIA’s new #DrugDiscovery Swiss Army Knife! paper: arxiv.org/abs/2501.06158 blog: developer.nvidia.com/blog/evaluatin… demo: build.nvidia.com/nvidia/genmol-…

My GTC talk highlighting some of the Gen AI for science projects from my team at NVIDIA and the lessons we've learned along the way is now publicly available. Bonus point, I used some new pictures of Peanut in the presentation. nvidia.com/en-us/on-deman…

Excited to present some recent work on developing "Progressive Compression with Universally Quantized Diffusion Models", accepted as an Oral at ICLR'25. 🧵1/4

📢 EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise What's the role of equivariance in video diffusion models? and how can warped noise help with it? Is sampling from equivariant video models any easier? Project: research.nvidia.com/labs/genair/eq… w/ Chao Liu.

🔥📔 This week at #ICLR2025, our fundamental generative AI research team (GenAIR) is (co-)presenting 11 papers, 6 of which were developed or led primarily by our team members. Below, I am listing our main papers with a one-sentence summary.

Excited to share our recent #icml2025 work on training-free guidance in diffusion models with ideas from optimal control. The method is simple, compatible with latent and pixel space diffusion, and task-agnostic (for differentiable costs/rewards). x.com/farrinsofian/s…

ICML 25 paper on variational guidance for diffusion models accepted Happy to share that our diffusion model guidance paper with Farrin Marouf Sofian, Kushagra Pandey, @felixDrRelax, and Stephan Mandt @ AISTATS’25 on casting control for guidance as variational inference with auxiliary variables was

Arash Vahdat ✈️ #CVPR2025 Heavy-tailed diffusion models: lines of code to improve the ability of your diffusion model to handle extreme events in heavy-tailed distributions. ll;dr: replace you gaussian distribution with a tuned t-student one. Arash Vahdat ✈️ #CVPR2025 #uncv2025 #cvpr2025