Thrilled to announce I'm starting as a Principal Investigator at #Aithyra in Vienna! We'll be developing generative models to understand cell biology and design proteins.
I'm hiring PhDs, Postdocs, & Visiting Researchers! PhD applications by Sept 10: apply.cemm.at
We’re releasing Open-dCoder — the first fully open diffusion large language model for code:
🏋️ Pretraining pipeline
📂 Training data
📊 Evaluation suite
⚡ Inference code
📦 Checkpoints
🔗 Repo: github.com/pengzhangzhi/O…
📖 Blog: bit.ly/oDLLM-blog
(1/n)
Excited to share Open-dCoder (0.5B) — the first fully open diffusion LLM for code! 🚀
The 0.5B diffusion coding model is surprisingly fun to play with! 🔥
Check out the blog for more detail👉 bit.ly/oDLLM-blog
Excited to share Open-dCoder (0.5B) — the first fully open diffusion LLM for code! 🚀
The 0.5B diffusion coding model is surprisingly fun to play with! 🔥
Check out the blog for more detail👉 bit.ly/oDLLM-blog
🚨 Protein designers: we keep saying we're getting really good at making static, rock-like proteins...
Introducing Dynamic MPNN - our first step towards truly multi-state and 'programmable' protein design!
Great collab with @KnowlesLabCamb, led my Alex Abrudan and @rumbacarumba
🚨 Protein designers: we keep saying we're getting really good at making static, rock-like proteins...
Introducing Dynamic MPNN - our first step towards truly multi-state and 'programmable' protein design!
Great collab with @KnowlesLabCamb, led my Alex Abrudan and @rumbacarumba
Apply for the AITHYRA-CeMM International PhD Program!
15-20 fully funded PhD fellowships available in Vienna in AI/ML and Life Sciences
Deadline for applications: 10 September 2025
apply.cemm.at
This article from @TheEconomist offers an accurate overview of key dynamics shaping the development of AI today: the risks of the rapid race toward AGI and ASI, the challenges posed by open-sourcing frontier models, the deep uncertainty revealed by ongoing scientific debates and…
📢We are excited to share SynCoGen—the first generative model that co-generates 🔷building-block graphs,🔷reaction edges and 🔷full 3-D coordinates, so every molecule comes with both a synthesis plan and a physically plausible shape.
(1/n) Sampling from the Boltzmann density better than Molecular Dynamics (MD)? It is possible with PITA 🫓 Progressive Inference Time Annealing! A spotlight @genbio_workshop of @icmlconf 2025!
PITA learns from "hot," easy-to-explore molecular states 🔥 and then cleverly "cools"…
📢 Can LLMs really reason outside the box in math? Or are they just remixing familiar strategies?
Remember DeepSeek R1, o1 have impressed us on Olympiad-level math but also they were failing at simple arithmetic 😬
We built a benchmark to find out → OMEGA Ω 📐
💥 We found…
🚨 Excite to share "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning" work. 🥳
We tackle gradient instability in large deep RL networks, enabling stable and scalable learning with strong performance across the board.
📄 Paper: arxiv.org/abs/2506.15544
🚨 Excite to share "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning" work. 🥳
We tackle gradient instability in large deep RL networks, enabling stable and scalable learning with strong performance across the board.
📄 Paper: arxiv.org/abs/2506.15544
🚨 “The Diffusion Duality” is out! @ICML2025
⚡️ Few-step generation in discrete diffusion language models by exploiting the underlying Gaussian diffusion.
🦾Beats AR on 3/7 zero-shot likelihood benchmarks.
📄 Paper: arxiv.org/abs/2506.10892
💻 Code: github.com/s-sahoo/duo
🧠…
🚨CALL FOR HELP🚨
Want to help shape the UK Gov’s understanding of how AI is impacting bio? My colleagues in the EngBio team in @SciTechgovuk are conducting a survey to answer exactly that!
Only 15 mins to shape UK AI policy + £200 goes to Cancer Research UK/100 replies. Link👇
(1/n)🚨You can train a model solving DFT for any geometry almost without training data!🚨
Introducing Self-Refining Training for Amortized Density Functional Theory — a variational framework for learning a DFT solver that predicts the ground-state solutions for different…
Congratulations to @Yoshua_Bengio on launching @LawZero_ — a research effort to advance safe-by-design AI, especially as frontier systems begin to exhibit signs of self-preservation and deceptive behaviour.
When I realized how dangerous the current agency-driven AI trajectory could be for future generations, I knew I had to do all I could to make AI safer. I recently shared this personal experience, and outlined the scientific solution I envision @TEDTalks⤵️
ted.com/talks/yoshua_b…
Is there a universal strategy to turn any generative model—GANs, VAEs, diffusion models, or flows—into a conditional sampler, or finetuned to optimize a reward function?
Yes! Outsourced Diffusion Sampling (ODS) accepted to @icmlconf , does exactly that!
International students leave their homes and dedicate their lives to advancing their fields. Harvard/MIT would not be the same without them. But to this administration they are bargaining chips, tossed around in the name of false pretenses, in a petty attempt to assert power
International students leave their homes and dedicate their lives to advancing their fields. Harvard/MIT would not be the same without them. But to this administration they are bargaining chips, tossed around in the name of false pretenses, in a petty attempt to assert power
🚀 Excited to release a major update to the Boltz-1 model: Boltz-1x!
Boltz-1x introduces inference-time steering for much higher physical quality, CUDA kernels for faster, more memory-efficient inference and training, and more! 🔥🧵
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https://t.co/LSDHko2fDD
interested in Machine Learning and 🧬
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(he/him)