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Marcus Brubaker

@marcusabrubaker.bsky.social

Research Scientist@Google DeepMind Assoc Prof@York University, Toronto mbrubake.github.io Research: Computer Vision and Machine Learning, esp generative models. Applications: CryoEM (cryoSPARC), Statistics (Stan), Forensics, and more

2,597 Followers  |  1,169 Following  |  13 Posts  |  Joined: 22.11.2023  |  1.5128

Latest posts by marcusabrubaker.bsky.social on Bluesky

We also present a solution to the problem, showing how we can efficiently estimate 2nd order information and largely mitigate the poor conditioning, opening the door for efficient, SGD-based high resolution cryo-EM methods.

24.06.2025 21:31 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

We show the numerical conditioning of cryo-EM reconstruction is increasingly poor at high resolution such that SGD has no real hope of resolving high resolution structures.

24.06.2025 21:31 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

Ever wonder why SGD, which works so well for ab initio cryo-EM, never seems to get to high resolution on its own? Well, we have the answer: conditioning!

24.06.2025 21:31 β€” πŸ‘ 15    πŸ” 11    πŸ’¬ 1    πŸ“Œ 0

Calling all PhD students in vision/ML interested in working with a great team (+me!) at GDM doing cutting edge research in 3D computer vision and generative models!

05.03.2025 22:12 β€” πŸ‘ 26    πŸ” 6    πŸ’¬ 0    πŸ“Œ 0

Definitely. None of those things automatically go away just because someone gives you a degree!

09.01.2025 15:32 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Congratulations to Shayan for a great job presenting our work at the poster on Friday and in a talk @workshopmlsb.bsky.social today!

15.12.2024 22:27 β€” πŸ‘ 11    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Come check out our work on semi-amortized inference for cryoEM today at NeurIPS!

πŸ“… Friday, Dec 13, 11 AM - 2 PM
πŸ“Œ East Exhibit Hall A-C, Poster #1105

Paper: arxiv.org/abs/2406.10455
Website: shekshaa.github.io/semi-amortized-cryoem/

With: Shayan Shekarforoush, David Lindell and David Fleet

13.12.2024 17:24 β€” πŸ‘ 15    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
Cox's theorem - Wikipedia

A very similar argument (start with a basic set of requirements/axioms) can be made to show that probabilities are basically the only logically consistent calculus of uncertainty, see en.wikipedia.org/wiki/Cox%27s...

10.12.2024 20:35 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Heading to Vancouver for #NeurIPS this week. If you're around and interested in catching up, feel free to DM me!

10.12.2024 19:40 β€” πŸ‘ 8    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Ever tried to run COLMAP or other SfM pipeline only to have it fail due to movement in the video? Check out our new work exploring on how detect and mask dynamic objects!

03.12.2024 16:40 β€” πŸ‘ 6    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!

We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423

27.11.2024 09:00 β€” πŸ‘ 356    πŸ” 102    πŸ’¬ 12    πŸ“Œ 11
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πŸ˜…

21.11.2024 17:28 β€” πŸ‘ 11    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Writing a good scientific paper

For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...

20.11.2024 10:18 β€” πŸ‘ 263    πŸ” 64    πŸ’¬ 4    πŸ“Œ 8

πŸ“’ Research Opportunities!

We’re seeking highly motivated postdocs & PhD students to dive into groundbreaking #ComputerVision research, exploring the future of 3D/4D neural rendering.

1/3

21.11.2024 00:41 β€” πŸ‘ 29    πŸ” 7    πŸ’¬ 1    πŸ“Œ 1
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GitHub - gle-bellier/flow-matching: Annotated Flow Matching paper Annotated Flow Matching paper. Contribute to gle-bellier/flow-matching development by creating an account on GitHub.

I created 3 introductory notebooks on Flow Matching models to help get started with this exciting topic! ✨

1. Annotated Flow Matching paper: github.com/gle-bellier/...
2. Discrete Flow Matching: github.com/gle-bellier/...
3. Minimal FM in Jax: github.com/gle-bellier/...

18.11.2024 09:43 β€” πŸ‘ 144    πŸ” 20    πŸ’¬ 3    πŸ“Œ 0

Can you add me and @csprofkgd.bsky.social to AI?

16.11.2024 21:53 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Welcome!

15.11.2024 18:18 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Can Computers Create Art? This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and an...

6 years ago, in the days of GAN art, I wrote an article called "Can Computers Create Art?", arguing that computers should not be considered artists, regardless of how good image generation gets. People sometimes ask if my views have changed. I say, 1/🧡
www.mdpi.com/2076-0752/7/...

11.11.2024 19:08 β€” πŸ‘ 52    πŸ” 17    πŸ’¬ 3    πŸ“Œ 4
SIGGRAPH 2024 Award Talk: My journey in art and computing (so far)
YouTube video by Aaron Hertzmann SIGGRAPH 2024 Award Talk: My journey in art and computing (so far)

Here's my the talk for the #SIGGRAPH 2024 Computer Graphics Achievement award, about my experiences in painting, computer graphics and the science of art. And how so much art and research are unplanned and unpredictable.
www.youtube.com/watch?v=ehgj...
aaronhertzmann.com/2024/08/19/j...

19.08.2024 21:17 β€” πŸ‘ 16    πŸ” 2    πŸ’¬ 0    πŸ“Œ 1
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The Computer Vision Foundation open access proceedings team is proud to announce that the #CVPR2024 proceedings is now online:

Main conference: openaccess.thecvf.com/CVPR2024

Workshops: openaccess.thecvf.com/CVPR2024_wor...

Enjoy and I'll see all of you in Seattle!

10.06.2024 20:53 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

Congrats! Looks very interesting, will add it to my reading list

28.11.2023 18:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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