Bayesian Methods Research Group @bayesgroup
Research in Bayesian Deep Learning, Reinforcement Learning, Optimization, Structured Prediction, Drug Discovery and more bayesgroup.org Joined July 2017-
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Check out our new paper!
Check out our new work!
Check out our new work!
👨💼Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯 📍West Ballroom A-D #6809 ⏰Fri 13 Dec 4:30 pm — 7:30 pm 🔗neurips.cc/virtual/2024/p…
👨💼Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯 📍West Ballroom A-D #6809 ⏰Fri 13 Dec 4:30 pm — 7:30 pm 🔗neurips.cc/virtual/2024/p… https://t.co/SnNr89RFGg
Check out our new paper! To be presented at #NeurIPS2024 by @KateLobacheva this Friday (poster #2408 / Poster Session 5 East / 13 Dec 11 am – 2 pm PST)
Check out our new paper! To be presented at #NeurIPS2024 by @KateLobacheva this Friday (poster #2408 / Poster Session 5 East / 13 Dec 11 am – 2 pm PST)
Did you know that networks trained with different learning rates extract different features (and a different number of them!) from the data? Come by our poster at HiLD Workshop #ICML2024 tomorrow to discuss it with @irsadrtdinov! Paper: openreview.net/forum?id=IID2D… 1/6
I will be presenting our NeurIPS-2023 paper arxiv.org/abs/2303.03374 at @ml_collective this Friday, March 8, 10am PT / 7pm CET! If you haven't decided yet whether to stay in the pre-train basin or not, you definitely need to see this talk!
Check out our new paper!
At #NeurIPS2023? Come check out our latest work!
At #NeurIPS2023? Come check out our latest work!
Can we improve ensembles in the transfer learning setup by exploring the target task loss landscape? Find out in our new #NeurIPS2023 paper! Joint work with Ildus Sadrtdinov, Dmitrii Pozdeev, and Dmitry Vetrov. Paper: arxiv.org/abs/2303.03374 1/7
Check out our newest paper!
🎉 Celebrating Dmitry Vetrov & team (Pockonechnyy, @MNakhodnov, Elistratov, @ai_alanov, @MeshchaninovV) for being named #CVPR2023 Outstanding Reviewers. With exceptional reviews, they stood out among 7000+ contributors. Kudos for the invaluable work in advancing the science!
Check out our new paper on Diffusion Models!
Our new paper at NeurIPS 2022! We continue the line of work about the peculiar training properties of NNs with normalization layers and find the three different training regimes. Joint work with Maxim Kodryan, @MNakhodnov, and Dmitry Vetrov. Paper: arxiv.org/abs/2209.03695 1/5

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