publications

peer-reviewed publications in reverse chronological order.

2026

  1. TFM
    2026_Regenwetter_embedding.png
    Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings
    Lyle Regenwetter, Rosen Yu, Cyril Picard, and 1 more author
    arXiv, 2026
    arXiv
  2. TFM
    2026_Yu_FIRE.png
    FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models
    Rosen Ting-Ying Yu, Nicholas Sung, and Faez Ahmed
    In ICLR 2026 Workshop on Foundation Models for Science (FM4Science), 2026
    arXiv Code
  3. TFM & BO
    2025_yu_gitbo.png
    GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
    Rosen Ting-Ying Yu, Cyril Picard, and Faez Ahmed
    In ICLR, 2026
    Code Website

2025

  1. TFM
    2025_TabPFN2.5.png
    TabPFN-2.5: a Preview
    Leo Grinsztajn, Klemens Flöge, Oscar Key, and 12 more authors
    In EurIPS Workshop on AI for Tabular Data, 2025
    Code Website
  2. TFM & BO
    fast_and_accurate_.png
    Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
    Rosen Ting-Ying Yu, Cyril Picard, and Faez Ahmed
    Structural and Multidisciplinary Optimization, 2025
    Code Website