Vincent Dutordoir @vdutor
Research Scientist @GoogleDeepMind (AI for Science). PhD @CambridgeMLG vdutor.github.io Cambridge, England Joined April 2017-
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Vincent Dutordoir retweeted
Happy to share a major milestone: after years of development, we are officially launching Version 1.0 of the GeometricKernels library! To top it off, our accompanying paper has just been published in JMLR (MLOSS)! 🎉 github.com/geometric-kern…
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Vincent Dutordoir retweeted
Introducing AlphaGenome: an AI model to help scientists better understand our DNA – the instruction manual for life 🧬 Researchers can now quickly predict what impact genetic changes could have - helping to generate new hypotheses and drive biological discoveries. ↓
An opportunity to join our team. Feel free to reach out if you have any questions.
We are looking a PhD Student Researcher at Google DeepMind for 2025 summer! Strong publication record and technical skills on machine learning and genomics preferred. Need to be 80% for a few months. Team in London. Looking forward to hear from you!
Vincent Dutordoir retweeted
I’m really excited to be attending NeurIPS and presenting our work on efficient fine-tuning of pre-trained diffusion models for SOTA conditional generation. Come chat with us on 12th Dec (Thursday) at 11am! Thread below (🧵) -
@glouppe I also didn't realise how important this was until I recently started at DeepMind, where large parts of my time are spent optimising throughput.
@realGeorgeHotz Transformers have the ability to play chess without explicit search, reaching an ELO of ~2800 in blitz, as shown in arxiv.org/abs/2402.04494
@markvanderwilk @PTenigma Hey Mark! We've developed a python package for spherical harmonics in d-dimensions that might be of interest to you. github.com/vdutor/Spheric… Computing the fourier coefs in high dimensions is typically hard but for zonal functions it reduces to a 1D integral using Funk-Hecke thm.
@louistiao @Meta Congrats Louis! Very happy for you!
@vabor112 @InfAtEd @EdinburghUni Congrats Slava! 👏
A highlight of the #NeurIPS2023 meetup in Cambridge for me was Carl Rasmussen's keynote on "Halting Climate Change". Spoiler: it has nothing to do with AI. Worth a watch: youtube.com/watch?v=naFaQs…
Links: code: github.com/cambridge-mlg/… slides: drive.google.com/file/d/1k232KY… paper: arxiv.org/abs/2307.05431
Introducing a novel Langevin-based conditional sampler, our model scales to fit complex scalar/vector fields in both Euclidean & manifold codomains, exemplified by forecasting tropical hurricanes as per the illustrated figure.
Happy to share Geometric Neural Diffusion Processes at #NeurIPS. Join us for Poster Session 3 on Wednesday if you’re interested in diffusion models for modelling equivariant stochastic processes. With @MathieuEmile @MHutchinson141 @ValentinDeBort1 @yeewhye #richturner
as well as a keynote presentation by prof Carl Rasmussen on his latest research on climate change policy. Finally, prof @lawrennd will chair a panel discussion on "AI for Social Good".
Apart from posters, the day will feature two spotlight talk sessions...
There are still a couple of places left for the NeurIPS@Cambridge meetup next week, Dec 8th. Priority will be given to people presenting a poster. Registration & full schedule on neuripsmeetupcambridge.info
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