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simonroschmann.bsky.social

@simonroschmann.bsky.social
33 followers 12 following 17 posts

PhD Student @eml-munich.bsky.social @tum.de @www.helmholtz-munich.de‬. Passionate about ML research.

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Reposted by @simonroschmann.bsky.social
ExplainableML @eml-munich.bsky.social · 03/07/2026
3/ TiViT: Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers @simonroschmann.bsky.social , @qbouniot.bsky.social , Vasilii Feofanov, Ievgen Redko, @zeynepakata.bsky.social
arxiv.org
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
Time series classification is a fundamental task in healthcare and industry, yet the development of time series foundation models (TSFMs) remains limited by the scarcity of publicly available time ser...
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simonroschmann.bsky.social @simonroschmann.bsky.social · 03/07/2026
Excited to share that our paper "SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport" was accepted at ICML. 📄 Paper: arxiv.org/abs/2602.23353 💻 Code: github.com/ExplainableM...
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Reposted by @simonroschmann.bsky.social
ExplainableML @eml-munich.bsky.social · 29/06/2026
Happy to share that we have 8 papers accepted to #ICML2026! 🎉 Most of the authors will be traveling to Seoul, Korea 🇰🇷 — feel free to reach out and chat with them if you’re interested in the work. See the full thread below for our papers 👇
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simonroschmann.bsky.social @simonroschmann.bsky.social · 03/07/2025
How can we circumvent data scarcity in the time series domain? We propose to leverage pretrained ViTs (e.g., CLIP, DINOv2) for time series classification and outperform time series foundation models (TSFMs). 📄 Preprint: arxiv.org/abs/2506.08641 💻 Code: github.com/ExplainableM...
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