:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Rosen Ting-Ying, Sung, Nicholas, Ahmed, Faez
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.22371
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings
by: Regenwetter, Lyle, et al.
Published: (2026)

GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)

Cooling-Guide Diffusion Model for Battery Cell Arrangement
by: Sung, Nicholas, et al.
Published: (2024)

IM-Context: In-Context Learning for Imbalanced Regression Tasks
by: Nejjar, Ismail, et al.
Published: (2024)

TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
by: Chen, Qian, et al.
Published: (2025)

In-context Learning of Evolving Data Streams with Tabular Foundational Models
by: Lourenço, Afonso, et al.
Published: (2025)

Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study
by: Samuel, Kaira M., et al.
Published: (2025)

Interpretable Tabular Foundation Models via In-Context Kernel Regression
by: Miftachov, Ratmir, et al.
Published: (2026)

BlendedNet++: A dataset and benchmark for field-resolved aerodynamics and inverse design of blended wing body aircraft
by: Sung, Nicholas, et al.
Published: (2025)

Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)

Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
by: Landsgesell, Jonas, et al.
Published: (2026)

MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications
by: Regenwetter, Lyle, et al.
Published: (2023)

Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
by: Su, Hanqi, et al.
Published: (2023)

Active In-Context Learning for Tabular Foundation Models
by: Treerath, Wilailuck, et al.
Published: (2026)

Basis Transformers for Multi-Task Tabular Regression
by: Loh, Wei Min, et al.
Published: (2025)

TabularFM: An Open Framework For Tabular Foundational Models
by: Tran, Quan M., et al.
Published: (2024)

On Finetuning Tabular Foundation Models
by: Rubachev, Ivan, et al.
Published: (2025)

Towards Fair In-Context Learning with Tabular Foundation Models
by: Kenfack, Patrik, et al.
Published: (2025)

Turning Tabular Foundation Models into Graph Foundation Models
by: Eremeev, Dmitry, et al.
Published: (2025)

Tabular Foundation Model for Generative Modelling
by: Jiang, Xiangjian, et al.
Published: (2026)

TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks
by: Vatani, Parsa, et al.
Published: (2025)

Distribution Shift Aware Neural Tabular Learning
by: Ying, Wangyang, et al.
Published: (2025)

MicroLad: 2D-to-3D Microstructure Reconstruction and Generation via Latent Diffusion and Score Distillation
by: Lee, Kang-Hyun, et al.
Published: (2025)

C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design
by: Bagazinski, Noah J., et al.
Published: (2024)

Robust Tabular Foundation Models
by: Peroni, Matthew, et al.
Published: (2025)

TabQL: In-Context Q-Learning with Tabular Foundation Models
by: Liu, Qisai, et al.
Published: (2026)

GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
by: Mueller, Andreas, et al.
Published: (2024)

Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
by: Regenwetter, Lyle, et al.
Published: (2023)

Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
by: Vetter, Julius, et al.
Published: (2025)

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
by: Grinsztajn, Léo, et al.
Published: (2025)

Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
by: Nobari, Amin Heyrani, et al.
Published: (2025)

Learning Interpretable Differentiable Logic Networks for Tabular Regression
by: Yue, Chang, et al.
Published: (2025)

TabCF: Distributional Control Function Estimation with Tabular Foundation Models
by: Chen, Geping, et al.
Published: (2026)

Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)

Real-Time Explanations for Tabular Foundation Models
by: Sena, Luan Borges Teodoro Reis, et al.
Published: (2026)

A Mechanistic Study of Tabular Foundation Models
by: Biloš, Marin, et al.
Published: (2026)

Exploring Fine-Tuning for Tabular Foundation Models
by: Tanna, Aditya, et al.
Published: (2026)

End-to-End Compression for Tabular Foundation Models
by: Zabërgja, Guri, et al.
Published: (2026)

On the Uncertainty Quantification Ability of Tabular Foundation Models
by: Johnson, Tyler R., et al.
Published: (2026)