michaelglazunov.bsky.social
@michaelglazunov.bsky.social
Ph.D. Candidate interested in Unsupervised Anomaly Detection, Enhancement of Robustness of Deep Learning, Deep Generative Modeling
Pinned
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Proposal to have a tracker above each account of how many times you shared something obviously false
March 28, 2025 at 12:14 AM
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Excited to share our latest story! We found disentangled memory representations in the hippocampus that generalized across time and environments, despite the seemingly random drift and remapping of single cells. This code enabled the transfer of prior knowledge to solve new tasks
March 17, 2025 at 1:35 AM
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oh cool news in the red there!
March 9, 2025 at 7:37 PM
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STOC 2025 (June 23-27, Prague) Theory Fest is looking for workshop proposals! Deadline March 9, so please hurry and submit your great proposals and please repost!

Link: stoc2025theoryfest.netlify.app
Vite + React + TS
stoc2025theoryfest.netlify.app
March 8, 2025 at 6:02 AM
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I already advertised for this document when I posted it on arXiv, and later when it was published.

This week, with the agreement of the publisher, I uploaded the published version on arXiv.

Less typos, more references and additional sections including PAC-Bayes Bernstein.

arxiv.org/abs/2110.11216
March 5, 2025 at 1:16 AM
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That's the first time I am not sure I want to go to US to CVPR, despite than I have two workshops to organize.
March 4, 2025 at 5:04 PM
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I just pushed a new paper to arXiv. I realized that a lot of my previous work on robust losses and nerf-y things was dancing around something simpler: a slight tweak to the classic Box-Cox power transform that makes it much more useful and stable. It's this f(x, λ) here:
February 18, 2025 at 6:43 PM
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Excited to co-organise another summer school on learning theory! This time in beautiful Odense, Denmark. Please share and apply here:
event.sdu.dk/algoml2025
PhD School on Intersections of Algorithms and Machine Learning Theory
event.sdu.dk
January 7, 2025 at 6:44 AM
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Excited to finally share this work w/ @suryaganguli.bsky.social Tl;dr: we find the first closed-form analytical theory that replicates the outputs of the very simplest diffusion models, with median pixel wise r^2 values of 90%+. arxiv.org/abs/2412.20292
December 31, 2024 at 4:00 PM
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Our department (Cognitive Science and AI at Tilburg University) has two openings for new Assistant Professors: one in Data Science and AI, and one in Cybersecurity.
Consider joining us.

www.academictransfer.com/en/347847/as...

www.academictransfer.com/en/347846/as...
Assistant Professor Data Science & Artificial Intelligence 1.0 FTE
Tilburg University | Tilburg School of Humanities and Digital Sciences is looking for an Assistant Professor Data Science & Artificial Intelligence 1.0 FTE.
www.academictransfer.com
December 18, 2024 at 3:31 PM
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The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here
drive.google.com/file/d/1eLa3...
BreimanLectureNeurIPS2024_Doucet.pdf
drive.google.com
December 15, 2024 at 6:40 PM
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Amazing talk by Arnaud Doucet at #neurips
December 12, 2024 at 11:58 PM
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hi everyone!! let's try this optimal transport again 🙃
December 5, 2024 at 12:58 PM
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I am super hyped and happy with our recent paper on a ✨VampPrior 2.0✨: Hierarchical VAE with a diffusion-based VampPrior! 🦇 We got SOTA VAE results on CIFAR-10! Kudos to Anna Kuzina because this TMLR paper is the last chapter in her PhD thesis 🤩
📃 tinyurl.com/22rvzc4f
💻 github.com/AKuzina/dvp_...
December 4, 2024 at 4:23 AM
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who needs to keep track of all the profiles of conferences in #AI and #ML on 🦋?

go.bsky.app/SZEr8Jf
December 4, 2024 at 8:33 AM
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We are the premier conference on #uncertainty in #AI and #ML since 1985 🧓

Hello, 🦋!

Follow us to reduce uncertainty!
December 3, 2024 at 4:08 PM
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Test of Time Paper Awards are out! 2014 was a wonderful year with lots of amazing papers. That's why, we decided to highlight two papers: GANs (@ian-goodfellow.bsky.social et al.) and Seq2Seq (Sutskever et al.). Both papers will be presented in person 😍

Link: blog.neurips.cc/2024/11/27/a...
Announcing the NeurIPS 2024 Test of Time Paper Awards  – NeurIPS Blog
blog.neurips.cc
November 27, 2024 at 3:48 PM
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📢 Relive the #CVPR2024 poster ScaLR w/ Gilles Puy. It's a Lidar pretrained model distilled from vision foundation models w/o any labels.
💪 Our best ScaLR is publicly available & well suited for semantic tasks w/ few or no labels & still SoTA results on linear probing
www.linkedin.com/posts/andrei...
Andrei Bursuc on LinkedIn: #cvpr2024 #cvpr
📢 Re-live the poster presentation of ScaLR at #CVPR2024 by the lead author Gilles Puy. The ScaLR family consists of our latest Lidar pretrained models…
www.linkedin.com
November 27, 2024 at 9:22 AM
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We are looking for assistant professors in safe AI! Please consider applying or spread the word 🙏
jobs.tue.nl/en/vacancy/a...
Assistant Professors in Safe AI
The TU/e is constantly looking for scientific and non-scientific staff further its ambitions. View here our current vacancies.
jobs.tue.nl
November 22, 2024 at 9:51 PM
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I made a starter pack for researchers in probabilistic machine learning.

DM/reply if you want to be added!

go.bsky.app/DuCtJqC
November 18, 2024 at 2:00 AM
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For no particular reason, I really like these starter packs:

Google DeepMind: go.bsky.app/GZ4hZzu
Theoretical CS: go.bsky.app/6A6GRSi
ML Theory: go.bsky.app/21nFz12
Differential Privacy: go.bsky.app/A7ABG83
Google DeepMind Starter Pack
Join the conversation
go.bsky.app
November 21, 2024 at 2:52 AM
November 21, 2024 at 12:49 AM
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For those of you based in the low countries, I put together a quick started pack with folks in the AI, ML, and Stats communities. Do let me know if you would like to be listed!

go.bsky.app/LFHNMNk
November 20, 2024 at 1:52 PM
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I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!

go.bsky.app/AcP9Lix
November 10, 2024 at 12:11 AM