Shi Bin Hoo

MS student, Machine Learning Lab, Albert-Ludwigs-Universität Freiburg

Joined

September 2024

Names

Shi Bin Hoo (Preferred)

Emails

****@cs.uni-freiburg.de (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

MS student

Machine Learning Lab, Albert-Ludwigs-Universität Freiburg (uni-freiburg.de)

2022 – Present

Advisors, Relations & Conflicts

Coauthor

2024 – Present

Expertise

No areas of expertise listed

Publications

TimEE: Towards End-to-end Time Series Classification via In-Context Learning
Jaris Küken, Shi Bin Hoo, Lennart Purucker, Frank Hutter
- ICLR 2026 TSALM Workshop Poster
- Readers: Everyone
TabPFN-2.5: a Preview
Leo Grinsztajn, Klemens Flöge, Oscar Key, Adrian Hayler, Mihir Manium, Anurag Garg, Jake Robertson, Shi Bin Hoo, Felix Birkel, Philipp Jund, Benjamin Jäger, Rosen Ting-Ying Yu, Bernhard Schölkopf, Noah Hollmann, Frank Hutter
- AITD@EurIPS 2025 Oral
- Readers: Everyone
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo, Samuel Müller, David Salinas, Frank Hutter
- TRL @ NeurIPS 2024 Poster
- Readers: Everyone
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo, Samuel Müller, David Salinas, Frank Hutter
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone

Co-Authors