Sulin Liu
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sulinliu.bsky.social
Sulin Liu
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
Excited to head to NeurIPS next Tuesday! 🚀
Been into adaptive planning and self-correction in generation (for discrete diffusion/autoregressive) and adaptive agentic AI for complex problems in science and eng.
Hit me up! 🙌Would love to connect, chat and hear what you are excited about🤝🫶 #NeurIPS2024
December 7, 2024 at 3:37 PM
Reposted by Sulin Liu
A common question nowadays: Which is better, diffusion or flow matching? 🤔

Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.
December 2, 2024 at 6:45 PM
Reposted by Sulin Liu
I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!

go.bsky.app/AcP9Lix
November 10, 2024 at 12:11 AM
Reposted by Sulin Liu
The first list filled up, so here's a second list of AI for Science researchers on bluesky.

Let me know if I missed you / if you'd like to join!

bsky.app/starter-pack...
November 20, 2024 at 8:56 AM
Reposted by Sulin Liu
Several incredible NeurIPS tutorials this year. Worth navigating through the Swifties.
Another nano gem from my amazing student
Piotr Nawrot!

A repo & notebook on sparse attention for efficient LLM inference: github.com/PiotrNawrot/...

This will also feature in my #NeurIPS 2024 tutorial "Dynamic Sparsity in ML" with André Martins: dynamic-sparsity.github.io Stay tuned!
November 21, 2024 at 10:01 PM
Reposted by Sulin Liu
Started a second AI Science Connect pack. Let's keep building the community. It's been really amazing to see the great AI for science conversations over the past week.

Please self nominate, or send me others who should be added!

Pack 2: go.bsky.app/GnFTUM6
Pack 1 (full): go.bsky.app/JeFdryY
November 21, 2024 at 10:29 PM
Reposted by Sulin Liu
Discrete diffusion has become a very hot topic again this year. Dozens of interesting ICLR submissions and some exciting attempts at scaling. Here's a bibliography on the topic from the Kuleshov group (my open office neighbors).

github.com/kuleshov-gro...
GitHub - kuleshov-group/awesome-discrete-diffusion-models: A curated list for awesome discrete diffusion models resources.
A curated list for awesome discrete diffusion models resources. - kuleshov-group/awesome-discrete-diffusion-models
github.com
November 21, 2024 at 6:39 PM
Reposted by Sulin Liu
I made a starter pack for Bayesian ML and stats (mostly to see how this starter pack business works).

Let me know whom I missed!

go.bsky.app/2Bqtn6T
November 18, 2024 at 4:19 PM
Reposted by Sulin Liu
I made a starter pack for researchers in probabilistic machine learning.

DM/reply if you want to be added!

go.bsky.app/DuCtJqC
November 18, 2024 at 2:00 AM