Lorenz Linhardt

🎉 Presenting at #ICML2025 tomorrow!
Come and explore how representational similarities behave across datasets :)

📅 Thu Jul 17, 11 AM-1:30 PM PDT
📍 East Exhibition Hall A-B #E-2510

Huge thanks to @lorenzlinhardt.bsky.social, Marco Morik, Jonas Dippel, Simon Kornblith, and @lukasmut.bsky.social!

Join us - we have four open positions for doctoral/postdoctoral researchers at BIFOLD, doing cutting edge research in data management and machine learning as well as their intersections. More information: www.bifold.berlin/about-us/opp...

Objective drives the consistency of representational similarity across datasets The Platonic Representation Hypothesis claims that recent foundation models are converging to a shared representation space as a function of their downstream task performance, irrespective of the obje...

I am deeply grateful to @lorenzlinhardt.bsky.social, Marco Morik, Jonas Dippel, Simon Kornblith, and @lukasmut.bsky.social for their great work and support in this project! We also thank our collaborators, @bifold.berlin and HFA 7/7
📄Paper: arxiv.org/abs/2411.05561
💻Code: github.com/lciernik/sim...

Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments Small and mid-sized generative language models have gained increasing attention. Their size and availability make them amenable to being analyzed at a behavioral as well as a representational level, a...

🖼️ At the Re-Align workshop, @tomneuhaeuser.bsky.social and I presented "Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments", joint work with Lenka Tětková and @eberleoliver.bsky.social .
📃 arxiv.org/abs/2504.07965

Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies Diffusion models have demonstrated remarkable capabilities in synthesizing realistic images, spurring interest in using their representations for various downstream tasks. To better understand the rob...

🖼️ At the DeLTa workshop, Jonas Loos and I presented "Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies".
📃 arxiv.org/abs/2504.07008

🎉 Excited to have had the opportunity to present two posters at the ICLR2025 workshops! 🖼️🖼️

A big thanks to my coauthors and to everyone who dropped by to discuss!

Also, thanks to the Re-Align and DeLTa organizers for hosting such an inspiring workshop day. ✨

@bifold.berlin @tuberlin.bsky.social

CALL FOR PAPERS: #XAI2025, Special Track: Actionable explainable AI. Submit your paper and check the Submission deadlines: xaiworldconference.com/2025/importa...

Actionable Explainable AI
xaiworldconference.com/2025/actiona...

Thanks to everyone for the lively discussions on concept convexity and alignment in DL models at #NLDL (Northern Lights Deep Learning conference)! ❄️❄️

Had a great time in beautiful Tromsø connecting with fellow researchers 🤝

📜 Feel free to check out our preprint: arxiv.org/abs/2409.06362

Happy to co-chair this year's special track on "Actionable Explainable AI" with a great team! 📄🦾
Please consider submitting! (Abstract deadline: February 10th) ☝️

Excited that Re-Align will have its second iteration at ICLR 2025 in Singapore! More soon! 🧠🤖