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Vincent Dutordoir @vdutor

Research Scientist @GoogleDeepMind (AI for Science). PhD @CambridgeMLG

Joined April 2017
  • Tweets 113
  • Following 653
  • Followers 989
36 Photos and videos
Vincent Dutordoir retweeted
Viacheslav Borovitskiy@vabor112
Mar 12
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-kernels…
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Vincent Dutordoir retweeted
Google DeepMind
@GoogleDeepMind
25 Jun 2025
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. ↓
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An opportunity to join our team. Feel free to reach out if you have any questions.
Jun Cheng@s6juncheng
24 Feb 2025
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!
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Vincent Dutordoir retweeted
Shreyas Padhy@shreyaspadhy
4 Dec 2024
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 (🧵) -
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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=naFaQsFx…

Halting Climate Change- Carl Edward Rasmussen- NeurIPS@Cambridge- 8...

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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
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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.
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Links: code: github.com/cambridge-mlg/neu… slides: drive.google.com/file/d/1k23… paper: arxiv.org/abs/2307.05431

GitHub - cambridge-mlg/neural_diffusion_processes

Contribute to cambridge-mlg/neural_diffusion_processes development by creating an account on GitHub.

github.com
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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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Apart from posters, the day will feature two spotlight talk sessions...
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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".
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Happy to announce the 3rd NeurIPS @ Cambridge event on Friday, Dec 8th! Join us for an in-person gathering to discuss the latest in machine learning research. Find all details and register at neuripsmeetupcambridge.info. #NeurIPS2023 #MachineLearning #Cambridge
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Als u vandaag één artikel leest, laat het dan dit zijn. "Alex was 41. In de kranten staat dat hij een heroïneverslaafde was. Dat zal zeker zijn, maar hij was ook een oorlogsslachtoffer, een mens en bovenal mijn vriend." standaard.be/cnt/dmf20230921…
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Vincent Dutordoir retweeted
Fergus Simpson@frgsimpson
21 Jul 2023
Our #ICML2023 paper introduces Neural Diffusion Processes - generalising diffusion processes to function spaces. Great to work with @vdutor @alandanielsaul and @ZoubinGhahrama1 Paper: arxiv.org/abs/2206.03992 Code: github.com/vdutor/neural-dif…
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Vincent Dutordoir retweeted
Louis Tiao@louistiao
21 Jun 2023
in case you ever wondered what happens when a sphere gets hit with the ReLU activation🌐🧠🔥
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Lol. I also have to thank T-Rex for my first job. Learned to play the game (from raw pixels in a screen capture) using deep Q-learning: github.com/vdutor/TF-rex
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@AkshayNarisetti
27 Apr 2023
This Project got me an interview at Google.
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Congrats! It's amazing to see how Random (Fourier) Features continue to fuel progress even in this era of Transformers
Isaac Reid@isaac_o_reid
25 Apr 2023
Simplex Random Features accepted to #ICML2023 w oral presentation! TLDR: Monte Carlo methods linearise Transformer attention by throwing a (random) kitchen sink at it, but you can get much better results with a slightly more sophisticated sink🚰 arxiv.org/pdf/2301.13856.pdf 🧵1/9
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