@simonroschmann.bsky.social
PhD Student @eml-munich.bsky.social @tum.de @www.helmholtz-munich.de.
Passionate about ML research.
Passionate about ML research.
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...
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...
July 3, 2025 at 7:59 AM
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...
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...