Jean-Philippe Vert @jeanphi_vert
Joined November 2018-
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Wondering if AI can learn the language of life? Come join the @bioptimus_ai crew to joyfully change the world and shape the future of biology and medicine with AI foundation models! Check out bioptimus.com/careers for roles in engineering, data science, product, operations...
@bioptimus_ai in good company! Thank you Mr President 🚀
@bioptimus_ai in good company! Thank you Mr President 🚀
Want to do some really cool science and apply LLMs to data that's biased and messy, but not in the same way that human language is? We have tons of data, bunches of compute, and an ambitious problem to tackle that just might help save lives 🧬 -> bioptimus.com/careers
Want to do some really cool science and apply LLMs to data that's biased and messy, but not in the same way that human language is? We have tons of data, bunches of compute, and an ambitious problem to tackle that just might help save lives 🧬 -> bioptimus.com/careers
In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our fantastic technical team @ZeldaMariet @FelipeLlinares @jeanphi_vert 👉 Bioptimus.com/careers
Excited by the launch of @bioptimus_ai , early-stage well-funded start-up to build the first universal AI foundation model of biology! We actively recruit software engineers, research scientists and more, please check out bioptimus.com/careers
Introducing @mosaic_research – a groundbreaking $50 million research initiative in partnership with @nanostringtech, @PittTweet, @GustaveRoussy @CHUVLausanne, @ChariteBerlin, @Uniklinikum_ER, aiming to create the largest #spatial atlas of cancer cells. Featured by @FT, this…
How AI Startup Owkin Aims To Turbocharge Drug Discovery And Development theinnovator.news/how-ai-startup…
📢 Now that NeurIPS notifications are out (congrats to authors of accepted papers 🥳), we are happy to announce the 2nd edition of NeurIPS@Paris at Sorbonne University, Nov 23-24. The event will showcase this year's NeurIPS papers. Info and registration: neuripsinparis.github.io/neurips2022par…
Our team within Google Research Paris is looking for a research scientist to join our research effort in differentiable programming and optimization careers.google.com/jobs/results/7… Contact me by email if interested!
JAXopt v0.3 has been released! New features: LBFGS, nonlinear conjugate gradient, and Gauss-Newton algorithm! github.com/google/jaxopt
New group leader positions are open in the computational biology department of Institut Pasteur, Paris, France: research.pasteur.fr/en/call/creati… Application deadline is Nov 30, 2021. Please spread the word !
We’re excited to release DeepConsensus, a transformer approach for PacBio HiFi consensus generation. DeepConsensus reduces HiFi read errors by 42%, improving assembly NG50, base accuracy, as well as variant calling. Led by @gunjan_baid and @daniel_e_cook biorxiv.org/content/10.110…
Broad Institute launches the Eric and Wendy Schmidt Center to connect biology, machine learning for understanding programs of life - Broad Institute broadinstitute.org/news/broad-ins… via @broadinstitute
Predicting the function of proteins using #neuralnetworks can greatly aid medical research. We are proud to collaborate with @emblebi to extend the @PfamDB database of functionally annotated proteins by 10% as part of the v34.0 release. Learn more below! xfam.wordpress.com/2021/03/24/goo…
At least one positive outcome of Covid19: with @jeanphi_vert, we are glad to share the material of our course on kernel methods: 23 videos youtube.com/playlist?list=… and more than 700 slides bit.ly/3dPrNAH. Feel free to reuse!
Exciting collaboration between @GoogleFR and @VallotCeline's team at @institut_curie on the analysis of complex biological data with artificial intelligence #AI #GoogleAI Our long term goal? Better treat cancers. techtransfer.institut-curie.org/news/partnersh…
Autonomous navigation of stratospheric balloons using reinforcement learning disq.us/t/3t8pfd6 Well done!
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Exciting perspectives and team!
Excited by the launch of @bioptimus_ai , early-stage well-funded start-up to build the first universal AI foundation model of biology! We actively recruit software engineers, research scientists and more, please check out bioptimus.com/careers
Want to do some really cool science and apply LLMs to data that's biased and messy, but not in the same way that human language is? We have tons of data, bunches of compute, and an ambitious problem to tackle that just might help save lives 🧬 -> bioptimus.com/careers
In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our fantastic technical team @ZeldaMariet @FelipeLlinares @jeanphi_vert 👉 Bioptimus.com/careers
In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our fantastic technical team @ZeldaMariet @FelipeLlinares @jeanphi_vert 👉 Bioptimus.com/careers
Excited by the launch of @bioptimus_ai , early-stage well-funded start-up to build the first universal AI foundation model of biology! We actively recruit software engineers, research scientists and more, please check out bioptimus.com/careers
@BorisMuzc @wolfgangkhuber @biorxiv_bioinfo @mikelove Thank you @wolfgangkhuber for clarifying you’re not suggesting any misconduct. Congrats to @BorisMuzc and @OwkinScience co-authors for giving the Python community access to such a great tool, with clear and proper credit assignment in both the paper and the software. [1/3]
@francoisfleuret Same thing. It's just that the secret latent variables cannot be local.
Our team within Google Research Paris is looking for a research scientist to join our research effort in differentiable programming and optimization careers.google.com/jobs/results/7… Contact me by email if interested!
JAXopt v0.3 has been released! New features: LBFGS, nonlinear conjugate gradient, and Gauss-Newton algorithm! github.com/google/jaxopt
We’re excited to release DeepConsensus, a transformer approach for PacBio HiFi consensus generation. DeepConsensus reduces HiFi read errors by 42%, improving assembly NG50, base accuracy, as well as variant calling. Led by @gunjan_baid and @daniel_e_cook biorxiv.org/content/10.110…
Not as important as football, but still a nice game to watch: between kernels and neural networks, who will win? See the answer in this month blog post: francisbach.com/quest-for-adap…
@Laetitia_Ppx, @OTeboul and I just released Optimal Transport Tools (OTT) github.com/google-researc…, a python/JAX toolbox. Goal: make it easy to use OT (e.g. Wasserstein, matchings, etc..) in end-to-end architectures. Docs in ott-jax.readthedocs.io/en/latest/. Comments welcome!
RKHS pop up in stat & ML all the time. If like me you never took a class on kernel methods, I highly recommend this course by @julienmairal & @jeanphi_vert. My favorite sentence so far "I will repeat this message many times until it becomes crystal-clear".
At least one positive outcome of Covid19: with @jeanphi_vert, we are glad to share the material of our course on kernel methods: 23 videos youtube.com/playlist?list=… and more than 700 slides bit.ly/3dPrNAH. Feel free to reuse!
At least one positive outcome of Covid19: with @jeanphi_vert, we are glad to share the material of our course on kernel methods: 23 videos youtube.com/playlist?list=… and more than 700 slides bit.ly/3dPrNAH. Feel free to reuse!
Dexiong Chen successfully defended his PhD on Deep Kernels for Computional Biology this week (co-advised with @julienmairal). Congrats for your amazing work Dr Chen! dexiong.me
Trop fière de mon Francis!@BachFrancis
Félicitations à Francis Bach @BachFrancis, directeur de recherche @Inria, membre du #DIENS (@CNRS_Paris@ENS_ULM @Inria) qui vient d'être élu membre de @AcadSciences sur la thématique masses de #données, apprentissage-machine #MachineLearning et intelligence artificielle #IA !
New work on creating differentiable versions of optimizers, with perturbation techniques. Can be used to differentiate through solutions of opt. problems, and to learn from examples and their solutions in many tasks (e.g. classif, ranking, shortest paths) arxiv.org/abs/2002.08676
A big welcome to the winning teams of our @GoogleAI Impact Challenge visiting the Bay Area this week! Really inspiring to learn about how they're using AI for social good, addressing issues in health, education, accessibility, the environment and more. g.co/aichallenge
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