Pinned
Keep calm and apply Bayes' Rule.
Theofanis Karaletsos
2,376 posts
Theofanis Karaletsos
@Tkaraletsos
co-founder Achira.ai building microscopic world models for atomistic simulation | prev Head of AI @cziscience | probabilistic and deep ML
Joined December 2013
- Nips review:"You did not compare to *random paper that was put onto arxiv a month plus after nips deadline -potentially during review* and without this baseline we do not think the paper has merit. Hence no novelty." The most unethical and toxic thing I have seen. ACs, your turn.
- I am thrilled to be joining @czi and leading our AI strategy to determine how we utilize one of the world’s largest computing systems dedicated to nonprofit AI for life science research. We are assembling a world class research team for generative AI x Science to build largeExciting AI news! 📌 @Tkaraletsos join @cziscience as Head of AI 📌 We're forming an AI Advisory Group with academic + industry leaders 📌 We're launching an AI residency program More on how we're leveraging AI to accelerate science ⬇️ czi.co/49OsC72
- It’s #NeurIPS2020 time, so in some personal news let me share that I moved to Facebook as a researcher earlier this year, where I am excited to continue my work on probabilistic neural networks and robustness in the Uncertainty team, part of the Probability org. 1/n
- Announcing achira.ai Achira will usher in the next phase of AI for drug discovery building atomistic foundation models for biomolecular simulation to harness the explosive growth of available computation and the frontiers of physics-based synthetic data
NEW: Achira, a startup combining AI- and physics-based methods for drug discovery, launched Friday with a $33 million seed round I talked with co-founders @jchodera, @Tkaraletsos, and @zavaindar on their venture: endpts.com/achira-raises-… - Like Bayesian Inference and #pytorch? Try our PPL, Pyro. eng.uber.com/pyro/ pyro.ai github.com/uber/pyro
- It’s been an honor to help start Uber AI labs and a wild ride. Time for new adventures. (Repost with edited badge)
- In some personal news: I joined Insitro as VP of DS/ML and will be leading our ML efforts. Very excited to contribute to the wider sector of drug discovery and ML, there is a lot of important and profound ML research needed to pursue this. I will be sharing opportunities!We are excited to welcome @martha_rook, @Tkaraletsos, Ellen Berg and Jevan Soo Lenox to our team! Learn more about how their collective expertise will make an impact at insitro here: businesswire.com/news/home/2022…
GIF - So our paper "Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights" with @thdbui is up today at #NeurIPS2020 poster session 7 at 21:00 PST. Let me give a quick recap of the innovations in this work. 1/n
- Very proud and lucky to be able to say: Finally posting work with yours truly and two of my heroes, Peter Dayan and Zoubin Ghahramani. We explore building Bayesian meta-models of neural networks by representing units explicitly with latent variables. arxiv.org/abs/1810.00555
- Replying to @nathanbenaichIn ML we often take an application-specific problem and elevate it to a general technical problem. Solving the general problem can still be in service to the specific applied one, and helps connect other general technical solutions to the specific one. Abstraction is good!
- I will be taking interns and hiring FTEs for my advanced ML team at @insitro. If you are interested in #AI4science and want to work on methods inspired by real world problems in drug discovery reach out. I am also at #neurips22 until the end of the week. Topics! Links in 🧵1/4
- Happy to share @activatedgeek's first Uber AI residency manuscript with us on continual learning introducing the Variational Auto-Regressive Gaussian Process, a major effort during the crazy past months with guidance from the amazing Thang D. Bui. arxiv.org/pdf/2006.05468…
- Our AI for virtual cells article is now published in @CellCellPress with lots of amazing co-authors who gathered with us at @cziscience and @_bunnech, Aviv, @Prof_Lundberg , @jure , and @StephenQuake sciencedirect.com/science/articl…
