Lorenz Linhardt
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lorenzlinhardt.bsky.social
Lorenz Linhardt
@lorenzlinhardt.bsky.social
PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
Reposted by Lorenz Linhardt
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...
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...
arxiv.org
June 6, 2025 at 2:14 PM
🖼️ 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
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...
arxiv.org
May 3, 2025 at 9:21 AM
🖼️ At the DeLTa workshop, Jonas Loos and I presented "Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies".
📃 arxiv.org/abs/2504.07008
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...
arxiv.org
May 3, 2025 at 9:21 AM