Molecule sequence models learn vast molecular spaces, but how to navigate them efficiently? We explored multi-objective RL, SFT, merging, but these fall short in balancing control and diversity. We introduce **Mol-MoE**: a mixture of experts for controllable molecule generation🧵

🥳 "Logically Consistent Language Models via Neuro-Symbolic Integration" just accepted at #ICLR2025! We focus on instilling logical rules in LLMs with an efficient loss, leading to higher factuality & (self) consistency. How? 🧵

RNA FISH -> a fish

used Cursor (based on claude sonnet 3.5) over VS Code for a week now. Early feedback: ✔️ great to parallelize training and inference ✔️ multi-file context, can easily setup hyperparam sweeps ✔️ great to visualize results with high level guidance. Welcome spider plots!

Test of Time Paper Awards are out! 2014 was a wonderful year with lots of amazing papers. That's why, we decided to highlight two papers: GANs (@ian-goodfellow.bsky.social et al.) and Seq2Seq (Sutskever et al.). Both papers will be presented in person 😍 Link: blog.neurips.cc/2024/11/27/a...

researchers on cancer, message me: I’d like to know about your work, your research questions!

While we're starting up over here, I suppose it's okay to reshare some old content, right? Here's my lecture from the EEML 2024 summer school in Novi Sad🇷🇸, where I tried to give an intuitive introduction to diffusion models: youtu.be/9BHQvQlsVdE Check out other lectures on their channel as well!

[EEML'24] Sander Dieleman - Generative modelling through iterative refinement

YouTube video by EEML Community

youtu.be

I've created an initial Grumpy Machine Learners starter park. If you think you're grumpy and you "do machine learning", nominate yourself. If you're on the list, but don't think you are grumpy, then take a look in the mirror. go.bsky.app/6ddpivr