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Max Burg

@maxfburg

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Latest posts by Max Burg @maxfburg

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🚨 New paper alert! 🚨
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)

14.03.2025 09:41 👍 38 🔁 20 💬 1 📌 1

Deadline extended to March 19 for the EVAL-FoMo workshop @cvprconference.bsky.social! We welcome submissions (incl. published papers) analyzing emerging capabilities & limits in visual foundation models.

Details: sites.google.com/view/eval-fo...
#CVPR2025

12.03.2025 12:20 👍 3 🔁 1 💬 0 📌 0
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New preprint out! 🎉

How does LLM training loss translate to downstream performance?

We show that pretraining data and tokenizer shape loss-to-loss scaling, while architecture and other factors play a surprisingly minor role!
brendel-group.github.io/llm-line/ 🧵1/8

18.02.2025 14:09 👍 18 🔁 8 💬 1 📌 2

Cool paper, congrats!

18.02.2025 08:54 👍 2 🔁 0 💬 0 📌 0
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🧠 Meet LAMINR: Where neurons meet their match—finding common patterns that keep them excited 🔥💘

LAMINR learns & aligns invariance manifolds of sensory neurons to reveal shared properties.

🌟 #ICLR2025 Oral
📝 Paper: shorturl.at/08968
💻 Code: github.com/sinzlab/laminr

17.02.2025 16:51 👍 17 🔁 6 💬 2 📌 1

CuratedThoughts: Data Curation for RL Datasets 🚀

Since DeepSeek-R1 introduced reasoning-based RL, datasets like Open-R1 & OpenThoughts emerged for fine-tuning & GRPO. Our deep dive found major flaws — 25% of OpenThoughts needed elimination by data curation.

Here's why 👇🧵

17.02.2025 18:22 👍 13 🔁 9 💬 1 📌 1
Improvements in LM (top) and EM (bottom) of our micro-sam model (finetuned) compared to the default SAM model.

Improvements in LM (top) and EM (bottom) of our micro-sam model (finetuned) compared to the default SAM model.

After a long journey, Segment Anything for Microscopy is now published in Nature Methods! We significantly improve SAM for interactive and automatic segmentation in light and electron microscopy and build a user-friendly tool.
www.nature.com/articles/s41...

12.02.2025 11:41 👍 352 🔁 121 💬 11 📌 7
Hiring announcement: ELLIS Institute Tübingen is looking for ML Researchers & Engineers for Open-Source AI Tutoring (m/f/d). The image features a white background with bold black text and the colorful ELLIS logo at the bottom.

Hiring announcement: ELLIS Institute Tübingen is looking for ML Researchers & Engineers for Open-Source AI Tutoring (m/f/d). The image features a white background with bold black text and the colorful ELLIS logo at the bottom.

🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education!

We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation.

👉 forms.gle/sxvXbJhZSccr...

11.02.2025 16:34 👍 9 🔁 14 💬 1 📌 1