Valentin De Bortoli @ValentinDeBort1
Research scientist at DeepMind London. vdeborto.github.io Joined November 2020-
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@neilturkewitz I think the paper has received some negative responses from artists, fueled by provocative Twitter comments by people who haven't read the paper. I want to underline that this is a fundamental *research* paper that solves an interesting mathematical problem and not a product.
Really enjoyed writing this piece with @torfjelde and @vdutor 🙌 Thanks @msalbergo @ValentinDeBort1 @JamesTThorn for your insightful feedback 👌
Really enjoyed writing this piece with @torfjelde and @vdutor 🙌 Thanks @msalbergo @ValentinDeBort1 @JamesTThorn for your insightful feedback 👌
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections ift.tt/p1uNPR3
Machin (1958) theorised that planar waveforms of eukaryotic #flagella cannot be produced by boundary actuation alone (doi.org/10.1242/jeb.35…), BUT what if we can tune the bending stiffness? 🧐 All revealed in our new work led by @ClementYMoreau @bj_w95 arxiv.org/abs/2402.13844
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
If you'd like to work in AI-based drug discovery @IsomorphicLabs, especially on problems at the intersection between quantum chemistry and ML, then this is a great opportunity.
If you'd like to work in AI-based drug discovery @IsomorphicLabs, especially on problems at the intersection between quantum chemistry and ML, then this is a great opportunity.
I wrote a new blog post on using Gaussian Processes in Bayesian experimental design. Papers like SGBOED/DAD look as if they only work for parametric Bayesian models.. but with "one simple trick" you can get them to work with GPs as well ae-foster.github.io/posts/2024/01/…
Excited to be organizing this ICLR workshop. Please consider submitting!
The #NeurIPS2023 Diffusion Model Workshop is just starting - please join us in Hall B1! We look forward to seeing you in person
The #NeurIPS2023 Diffusion Model Workshop is just starting - please join us in Hall B1! We look forward to seeing you in person
Also, I am co-organizing the diffusion workshop with the amazing @ValentinDeBort1 @bahjat_kawar @_bunnech James Thornton @chenlin_meng and Jong Chul Ye. We have an amazing line up of speakers, poster, and panel discussion. Stay tuned! diffusionworkshop.github.io
Also, I am co-organizing the diffusion workshop with the amazing @ValentinDeBort1 @bahjat_kawar @_bunnech James Thornton @chenlin_meng and Jong Chul Ye. We have an amazing line up of speakers, poster, and panel discussion. Stay tuned! diffusionworkshop.github.io
The new version of the manuscript on Particle Guidance is now live on arXiv arxiv.org/abs/2310.13102! 🔥 Check it out for new exciting theoretical and methodological results and come to our virtual seminar tomorrow to hear about the overall work! 🤗
The new version of the manuscript on Particle Guidance is now live on arXiv arxiv.org/abs/2310.13102! 🔥 Check it out for new exciting theoretical and methodological results and come to our virtual seminar tomorrow to hear about the overall work! 🤗
Really excited for people to see why my publication output has been diminished over the last year or so. Many thanks to everyone involved blasting out our eardrums to make this happen!
Really excited for people to see why my publication output has been diminished over the last year or so. Many thanks to everyone involved blasting out our eardrums to make this happen!
Wow. Just heard I've been awarded the Corcoran Memorial Prize for my DPhil thesis by @OxfordStats ! It's wonderful and unexpected news :) A double thank you to my supervisors @tom_rainforth @yeewhye for four years terrific guidance and also for putting me forward for the award
🍏The Apple MLR team in *Paris* has an open position for a research software engineer (RSWE). Please apply here: jobs.apple.com/en-us/details/… RSWEs stands at the core of what we do @ MLR. Any questions on fit / research topics? please reach out to [email protected]
Generative models for scientific data can often benefit from using domain-informed constraints to reduce their problem space. In our new #NeurIPS2023 paper, we simplify constrained (Riemannian) diffusion models to make them better, faster & easier to use. arxiv.org/abs/2307.05439
Credit to the amazing team: @xuyilun2 @ValentinDeBort1 @BarzilayRegina and Tommi Jaakkola! You can find the code on GitHub github.com/gcorso/particl… and the preprint on arXiv arxiv.org/abs/2310.13102!
Sharing an early preprint of my Microsoft AI4Science summer internship project. We developed SE(3) flow matching for protein backbone generation. Compared to SE(3) diffusion, we find our method achieves higher designability, faster sampling, with a way simpler implementation. 1/8
Our #CVPR2023 tutorial on diffusion models is now available publicly (with much better audio quality 🤣) Website: …3-tutorial-diffusion-models.github.io With: @chenlin_meng and @baaadas @CVPR
Gabriel Peyré @gabrielpeyre
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4K Followers 637 Following PhD student @MIT • Research on Generative Models and Geometric Deep Learning for Biophysics • BA @CambridgeUni • Former @TwitterResearch, @DEShawGroup and @IBM@neilturkewitz I think the paper has received some negative responses from artists, fueled by provocative Twitter comments by people who haven't read the paper. I want to underline that this is a fundamental *research* paper that solves an interesting mathematical problem and not a product.
Je vais à Montréal! This June I'm starting a new position as an assistant professor at @UMontreal and as a core academic member of @Mila_Quebec. Drop me a line if you're interested in working together on problems in AI4Science, Optimal Transport, and Generative Modeling.
Hey Twitter legal experts I have a question: Is it illegal to train on copyrighted data, or is it fair use? Or the contested legal issue is if you are generating images that are near-identical to copyrighted images? Because if it is the later, our method mitigates this, I…
Consistent Diffusion Meets Tweedie. Our latest paper introduces an exact framework to train/finetune diffusion models like Stable Diffusion XL solely with noisy data. A year's worth of work breakthrough in reducing memorization and its implications on copyright 🧵
This is pointless and contributes only to worsening hype about AI, and the college admissions rat race.
Really enjoyed writing this piece with @torfjelde and @vdutor 🙌 Thanks @msalbergo @ValentinDeBort1 @JamesTThorn for your insightful feedback 👌
Along with @MathieuEmile and @vdutor we've cooked up a gentle introduction to flow matching, a recent method for efficiently training continuous normalizing flows (CNFs)! Hope you find it interesting! mlg.eng.cam.ac.uk/blog/2024/01/2… 1/2
Last week I gave a lecture series on heavy tails in ML as part of a Newton Institute event newton.ac.uk/event/tml/. To my surprise one of my personal heros stat.cornell.edu/people/field-f… was in the audience. I learned most of heavy tails from his books, like many other people.
@PreetumNakkiran Though like all these methods, my takeaway is turning generative modeling into regression is very effective
@PreetumNakkiran Why conditional? Any coupling works. To me, the point is more to construct any interpolant that satisfies the boundary conditions. To me, the cold diffusion paper is more about fulfilling a general class of denoisers. It’s not clear to me that it is formally a generative model.
Our review on diffusion models for protein structures and docking is out @HannesStaerk @GabriCorso Bowen Jing @BarzilayRegina Tommi Jaakkola. This summarize the advancements up to 2023. There have been lots of exciting new works since! wires.onlinelibrary.wiley.com/doi/10.1002/wc…
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections ift.tt/p1uNPR3
We are excited to announce our next round of IAIFI Fellows for 2024-2027! Looking forward to having @msalbergo, @softcollinear, Akshunna Dogra, and @Airsofter4692 join us later this year!
@msalbergo @Harvard @iaifi_news @KempnerInst @hseas @MITMath @Harvardphysics Congrats!! 🎉 Looking forward to seeing you around Cambridge!
ideally i want all my projects to be deeply applied projects tackling important questions with interesting data, but i am definitely worried this will make it hard/impossible to get actually get a job!
I am thrilled to announce that I have been promoted to the position of full Professor at the University of Tokyo. I am immensely grateful to everyone who has supported me along the way!
@peter_richtarik We need more conferences, rather than sending everything to the same three catch-all ML conferences. With smaller conferences we get reviewers that actually care about the papers they are reviewing.
This blog post is an amazing exposition and analysis of consistency models, and how they relate to diffusion models, leading to several suggested improvements to the training procedure that look very promising. Definitely worth a read!
🚀Our latest blog post unveils the power of Consistency Models and introduces Easy Consistency Tuning (ECT), a new way to fine-tune pretrained diffusion models to consistency models. SoTA fast generative models using 1/32 training cost! 🔽 Get ready to speed up your generative…
We regret to hear about the serious accusations from the CTM team @gimdong58085414. I shall proceed to elucidate the situation and make an archive here. We already have several rounds of communication with CTM's authors.
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.