Javier Antorán
@JaviAC7
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Molecular Dynamics and Bayesian Inference @Angstrom_ai & @CambridgeMLG .
Joined December 2019
Super excited to announce @Angstrom_ai, our startup using Gen AI to build fast and experimentally accurate simulations of molecular interactions together with @SilkyDogfish, @jmhernandez233 and Gabor Csanyi. We are backed by @ycombinator!.See below for a simulation demo (1/3)🧵.
YC S24's @Angstrom_ai builds fast and experimentally accurate Gen AI simulations of molecular interactions, replacing wet lab experiments in the drug development pipeline. Congraats on the launch, @JaviAC7, @SilkyDogfish, and @jmhernandez233!.
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RT @JamesAllingham: I'll be at NeurIPS next week, presenting our work "A Generative Model of Symmetry Transformations." In it, we propose a….
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RT @timrudner: It was such a pleasure co-organizing @aabi_org this year!. We had a great program---with fantastic posters, speakers, and pa….
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RT @canaesseth: Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, held in Vienna and co-located with #ICML202….
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RT @timrudner: Excited to kick off the 6th Symposium on.Advances in Approximate Bayesian Inference!. We will be livestreaming the event her….
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RT @vincefort: If you can't be in Vienna today to join us for AABI 2024, you can watch our live stream!.
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RT @tryfondo: 🚀 @Angstrom_ai launched! Replace wetlab experiments with Gen AI molecular simulations . "Accelerating molecular simulation us….
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RT @akristiadi7: Going to ICML is ~2 weeks? In Vienna already on Sunday? Why not hang out with probabilistic inference folks? Chat about th….
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RT @SilkyDogfish: Super stoked to be building accelerated molecular simulations at @Angstrom_ai with @JaviAC7 @jmhernandez233 and Gabor Cs….
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RT @ycombinator: YC S24's @Angstrom_ai builds fast and experimentally accurate Gen AI simulations of molecular interactions, replacing wet….
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In hydration simulations, the slowest modes are given by the interaction between the solute and its first water shell. Our models draw independent and unbiased samples from this region, greatly accelerating the convergence of free energy estimations. (3/3)
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In de novo drug design, proposals often fail during experimental validation due to poor solubility. That is why we are starting by using our tech to accelerate the computation of hydration free energies!.(2/3).
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TLDR: @JihaoAndreasLin continues to make GPs Better, Faster, Stronger. GP-based LLM coming soon. 🤖🤖. We review and analyze best-practices for GP hyper parameter learning which are not given attention in the literature, but when combined, yield orders of magnitude speedups!.
"Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes". Three techniques to accelerate marginal likelihood training in GPs by up to 72x without sacrificing performance!. Check out our paper here: . (1/6).
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RT @avt_im: This work was developed jointly with a host of amazing collaborators, including @JihaoAndreasLin, @shreyaspadhy, @JaviAC7, @aus….
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RT @CambridgeMLG: #ICLR2024 Highlights from the CBL!. THIS WEEK, members of the Cambridge Machine Learning Group will be showcasing their w….
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RT @CambridgeMLG: "Stochastic Gradient Descent for Gaussian Processes Done Right" .🎓 @JihaoAndreasLin*, @shreyaspadhy *, @JaviAC7 *, @austi….
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