Bas Veeling @BasVeeling
K’Nex’ing molecules at Microsoft Research. Previously student researcher at Google Brain and PhD student at AMLab. Amsterdam, The Netherlands Joined August 2010-
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[1/7] 🎉Our paper Time-lagged Information Bottleneck (T-IB) is in #ICLR2024! Kudos to @BasVeeling @ryotat Patrick Forré & MSR AI4Science! 📄arxiv.org/abs/2309.07200 T-IB maps complex dynamics to simple latent spaces for super fast, highly accurate simulations!
[1/N] Generative AI has revolutionized how we create text and images. How about designing novel materials? We at @MSFTResearch #AI4Science are thrilled to announce MatterGen: our generative model that enables broad property-guided materials design. 👇 arxiv.org/abs/2312.03687
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
Interested in accelerating scientific discovery with AI? Join our interdisciplinary global team! Two exciting opportunities for engineers: Amsterdam or Berlin: jobs.careers.microsoft.com/global/en/job/… Beijing: jobs.careers.microsoft.com/global/en/job/…
Do you want to obtain accurate, long-horizon predictions with neural PDE solvers? Introducing PDE-Refiner, a training process that improves rollout accuracies, offers uncertainty estimates and better data efficiency. 📜: arxiv.org/abs/2308.05732 🖥️: phlippe.github.io/PDERefiner/ 🧵1/9
Personal news: I have recently joined @MSFTResearch AI4Science in Berlin. Very excited to work with @FrankNoeBerlin and the fantastic team!
Super exciting research engineering position on the interface between AI and material discovery @MSFTResearch AI4Science!
Super exciting research engineering position on the interface between AI and material discovery @MSFTResearch AI4Science!
This is the paper I should have written. #NeurIPS2022 #workboat2022
🤯🤯🤯 #NeurIPS2022
New internship openings at AI4Science @MSFTResearch in Cambridge (UK), Amsterdam and Berlin! careers.microsoft.com/us/en/job/1497…
Very pleased to be starting today as a senior researcher @MSFTResearch, working on deep learning for molecular modelling!
Tweeps - apply here for senior researcher and engineering positions in @MSFTResearch AI4Science Berlin! We'll keep these open for a few more weeks. If you have already applied please give us some time to respond. careers.microsoft.com/us/en/job/1440… careers.microsoft.com/us/en/job/1440…
Tweeps - apply here for senior researcher and engineering positions in @MSFTResearch AI4Science Berlin! We'll keep these open for a few more weeks. If you have already applied please give us some time to respond. careers.microsoft.com/us/en/job/1440… careers.microsoft.com/us/en/job/1440…
Very happy to release #ImagenVideo today! Amazing work with an amazing team! imagen.research.google/video/ High fidelity text to video with diffusion models: "Flying through an intense battle between pirate ships in a stormy ocean."
Very happy to release #ImagenVideo today! Amazing work with an amazing team! imagen.research.google/video/ High fidelity text to video with diffusion models: "Flying through an intense battle between pirate ships in a stormy ocean." https://t.co/M3lAQPJG1K
As we advance Microsoft Research's AI4Science initiative, we’re opening a lab in Berlin. Learn more from Chris Bishop, Technical Fellow & Director, & Frank Noé, our new Partner Research Manager, as they discuss the fifth paradigm of scientific discovery. ms.spr.ly/6015j782z
New work on how to construct neural network layers on composite objects of scalars, vectors, bivectors, … --> multivectors! Via Clifford algebras, we generalize convolution and Fourier transforms to multivectors, especially relevant for PDE modeling: arxiv.org/abs/2209.04934
Internship positions are now open at @MSFTResearch Cambridge lab within the amazing #AI4Science initiative! If you are interested in working on #AI for #materials #Science and #chemistry, drop me a message. careers.microsoft.com/us/en/job/1460…
Join @MSFTResearch lab in Amsterdam! We look for a senior researcher with expertise in method development (theory & implementation) in electronic structure (DFT/1RDMFT and/or ab initio methods). Deep science in a great collaborative environment! #compchem careers.microsoft.com/us/en/job/1446…
We have a new opening for a senior research engineer in our AI4Science team @MSFTResearch in Amsterdam: careers.microsoft.com/us/en/job/1440… Please spread the word and apply if you're interested!
Microsoft Research announces AI4Science, a new global team of machine learning, quantum physics, computational chemistry, molecular biology, fluid dynamics, and software engineering experts working to tackle important societal challenges. Learn more: msft.it/6016bIoWj
Sindy Löwe @sindy_loewe
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We have now released the denoising diffusion model codebase! It includes: 🏋️ Pretrained models ✅ Easy sampling and evaluation 💻 Full model and training scripts Check out our repository here: github.com/microsoft/two-…
Proud to present Denoising Diffusion Models, where we connect the learned score of a diffusion model with force fields to do sampling and simulations🎉 Work done during a wonderful collaborative internship @MSFTResearch @JCIM_JCTC pubs.acs.org/doi/10.1021/ac…, arxiv.org/abs/2302.00600
@karpathy I think you are rediscovering the concept of “vacation”.
@_akhaliq Super neat! Unconditional residual connections caused strong information locality across layers, resulting in ~uniform compute allocation across representations. This seems like the right fix.
I am really excited to reveal what @GoogleDeepMind's Open Endedness Team has been up to 🚀. We introduce Genie 🧞, a foundation world model trained exclusively from Internet videos that can generate an endless variety of action-controllable 2D worlds given image prompts.
I gave a talk on Wednesday in the Feynman Lecture Hall where Feynman taught his famous Feynman lectures. It was a humbling experience.
Latest from our conformational ensemble prediction pipeline with modified AlphaFold2: This is NOT a trajectory from MD! It took two hours to predict this conformational ensemble using one GPU. The experimentally-resolved energy barrier for this transition is > 15 kcal/mol
New blog post : AdamW is often considered to "decouple learning rate and weight decay". But this is not entirely true if you use AdamW from Pytorch. 🗞️ Full post: fabian-sp.github.io/posts/2024/02/…
@mfederici_ @erikjbekkers @BasVeeling @ryotat awesome work! Congrats!
for $3500 you can get shinigami eyes for pasta
This was the first frame from an Apple Vision Pro review that made me believe we’re all going to be using and leaning into spacial computing soon enough. It always comes back to timers. youtube.com/watch?v=8xI10S…
The tide has turned. After a decade dominated by cushy big tech research positions, startups are now gobbling up the most ambitious AI talent. 2024 is the year of the builder 🐉.
🔥 Our new preprint on biomedical self-supervised learning with images only is out! 🔥 Rᴀᴅ-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision by @MSFTResearch We show that: 0/3 🧵
Check out our latest research work "Rad-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision" arxiv.org/pdf/2401.10815… We investigate whether text supervision (e.g. CLIP) is an essential component for learning rich visual embeddings to encode biomedical images
@mfederici_ @BasVeeling @ryotat Nice stuff! Congrats! :)
[1/7] 🎉Our paper Time-lagged Information Bottleneck (T-IB) is in #ICLR2024! Kudos to @BasVeeling @ryotat Patrick Forré & MSR AI4Science! 📄arxiv.org/abs/2309.07200 T-IB maps complex dynamics to simple latent spaces for super fast, highly accurate simulations!
VAST AI releases Triplane Meets Gaussian Splatting on Hugging Face Fast and Generalizable Single-View 3D Reconstruction with Transformers demo: huggingface.co/spaces/vast-ai… TGS enables fast reconstruction from single-view image. It builds the 3D representation upon a hybrid…