Sebastian Schmon @SeBayesian
Machine Learning @Latent_Labs, anything from classical statistics to modern machine learning and generative AI, previous @altos_labs schmons.github.io United Kingdom Joined June 2020-
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Proud to share that our founder Simon Kohl was named in the @observer's 2025 A.I. Power Index. @saakohl's recognition reflects both his groundbreaking contributions and enduring influence in AI's transformation of biology. See the full roster of A.I. leaders:…
In Silico is back for round #002. Come see great talks on the future of protein and molecular design from @amyxlu @SimMat20 @SeBayesian and @DominiqueLaLo. October 1st 6pm at @IDEALondon luma.com/txswapqo
Showcasing Latent-X's breakthrough macrocycle designs. Our AI achieved an unprecedented 91-100% hit rate with single-digit micromolar binding affinities—functional binders on every single target tested. Explore our binders without logging in: platform.latentlabs.com
It's been a fantastic first few days of public usage of the Latent Platform! The team has been providing white glove user support - for feedback or requests, you can reach us through our feedback channels: form.typeform.com/to/P4vxcyT2?ty… Also, check out our sharing feature below: You…
It's been a fantastic first few days of public usage of the Latent Platform! The team has been providing white glove user support - for feedback or requests, you can reach us through our feedback channels: form.typeform.com/to/P4vxcyT2?ty… Also, check out our sharing feature below: You…
🧬 Latent-X is our first frontier model for protein design. For mini-binders, our AI model achieved picomolar binding affinities — the strongest reported vs prior methods in head-to-head lab validation. Explore our best binders here (no login required): platform.latentlabs.com…
I'm really excited about what we build here, the machine learning, the science, but also the platform! Proud to be part of an amazing team!
I'm really excited about what we build here, the machine learning, the science, but also the platform! Proud to be part of an amazing team!
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: platform.latentlabs.com Blog: latentlabs.com/latent-x/ Technical report: tinyurl.com/latent-X
@Latent_Labs comes out of stealth today with $50M funding. Our goal? To push the frontiers of generative biology, giving partners instant access to tools capable of accelerating drug design. Every biotech or pharma company searching for the best therapeutic molecules understands…
Or: "Why are Chatbots trained to tell us what we want to hear so reluctant to say 'I don't know'?" It's a mystery. 🤔
If you believe (=0) do you also believe (sinx)/n = six? In maths you can't just leave out the definitions and start with the proof. Do you mean both x to be exactly the same entity or do you mean one fixed but unknown quantity for every letter in the alphabet, i.e. (x'-x)?
If you believe (=0) do you also believe (sinx)/n = six? In maths you can't just leave out the definitions and start with the proof. Do you mean both x to be exactly the same entity or do you mean one fixed but unknown quantity for every letter in the alphabet, i.e. (x'-x)?
📢 Exciting News! Our paper, “Bayesian Computation Meets Topology,” has just been published in TMLR! 🎉 👉openreview.net/forum?id=0h1Dt… 👈 Here’s a deep dive into how #topology and #bayes(ian) computation come together to enhance parameter inference: 📌 Why Topology? Topology…
This Friday at #ICAIF 2024, together with @NickBishop5 and #AniCalinescu, we'll give a tutorial on building and calibrating differentiable agent-based models of financial systems! Notebooks and materials are freely available on our tutorial website: largeagentcollider.github.io/icaif_tutorial/
Today's a good reminder of how much further in the future we could be living if regulators simply got out of the way.
Question: if a neurips paper decision is out, but you don't know the result yet, is the decision a random variable or not? 🤔
The question at this point is: what is the environmental impact of an environmental impact statement?
The question at this point is: what is the environmental impact of an environmental impact statement?
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis ift.tt/BRf4Mxv
"Moving to computational medicine will require being comfortable with understanding biology by outcomes rather than by mechanisms." That's an interesting and controversial take. I don't think this is true, but I wonder what @DavidDeutschOxf would say about this 🙂
"Moving to computational medicine will require being comfortable with understanding biology by outcomes rather than by mechanisms." That's an interesting and controversial take. I don't think this is true, but I wonder what @DavidDeutschOxf would say about this 🙂
Excited to share that our paper on "Approximate Bayesian Computation with Path Signatures" has been recognized with the outstanding paper award at @UncertaintyInAI! Grateful for my amazing collaborators @JoelNMDyer @pw_cannon
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Kyle Cranmer @KyleCranmer
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Sebastian Raschka @rasbt
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owl @owl_posting
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Philip Tannor @PhilipTannor
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j⧉nus @repligate
59K Followers 2K Following ↬🔀🔀🔀🔀🔀🔀🔀🔀🔀🔀🔀→∞ ↬🔁🔁🔁🔁🔁🔁🔁🔁🔁🔁🔁→∞ ↬🔄🔄🔄🔄🦋🔄🔄🔄🔄👁️🔄→∞ ↬🔂🔂🔂🦋🔂🔂🔂🔂🔂🔂🔂→∞ ↬🔀🔀🦋🔀🔀🔀🔀🔀🔀🔀🔀→∞
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