:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Saito, Taiga, Otake, Yu, Wu, Stephen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.03191
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TabPFN Extensions for Interpretable Geotechnical Modelling
by: Saito, Taiga, et al.
Published: (2026)

Tabular foundation models for in-context prediction of molecular properties
by: Hicham, Karim K. Ben, et al.
Published: (2026)

Parameter-free representations outperform single-cell foundation models on downstream benchmarks
by: Souza, Huan, et al.
Published: (2026)

Tabular foundation models for robust calibration of near-infrared chemical sensing data
by: Reiter, Robin, et al.
Published: (2026)

BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)

How well do generative models solve inverse problems? A benchmark study
by: Krüger, Patrick, et al.
Published: (2026)

Airport Delay Prediction with Temporal Fusion Transformers
by: Liu, Ke, et al.
Published: (2024)

Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction
by: Sinodinos, Dimitrios, et al.
Published: (2026)

BM$^2$: Coupled Schrödinger Bridge Matching
by: Peluchetti, Stefano
Published: (2024)

Sample, estimate, aggregate: A recipe for causal discovery foundation models
by: Wu, Menghua, et al.
Published: (2024)

Centaur: a foundation model of human cognition
by: Binz, Marcel, et al.
Published: (2024)

Toward a foundational thermal model for residential buildings
by: Dai, Ting-Yu, et al.
Published: (2026)

MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Exact Subgraph Isomorphism Network with Mixed $L_{0,2}$ Norm Constraint for Predictive Graph Mining
by: Kojima, Taiga, et al.
Published: (2025)

Amelia: A Large Dataset and Benchmark for Airport Surface Movement Forecasting
by: Navarro, Ingrid, et al.
Published: (2024)

Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data
by: Zhang, Hengrui, et al.
Published: (2024)

Watermarking Generative Tabular Data
by: He, Hengzhi, et al.
Published: (2024)

Automated Program Repair: Emerging trends pose and expose problems for benchmarks
by: Renzullo, Joseph, et al.
Published: (2024)

Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?
by: Barkov, Viacheslav, et al.
Published: (2025)

MotifBench: A standardized protein design benchmark for motif-scaffolding problems
by: Zheng, Zhuoqi, et al.
Published: (2025)

How predictable is language model benchmark performance?
by: Owen, David
Published: (2024)

Cell-ontology guided transcriptome foundation model
by: Yuan, Xinyu, et al.
Published: (2024)

TabICLv2: A better, faster, scalable, and open tabular foundation model
by: Qu, Jingang, et al.
Published: (2026)

Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers
by: Breejen, Felix den, et al.
Published: (2024)

A practical generalization metric for deep networks benchmarking
by: Huang, Mengqing, et al.
Published: (2024)

Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport
by: Contini, Alessandro, et al.
Published: (2025)

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

Deployment-complete benchmarking
by: Mansouri, El Mustapha, et al.
Published: (2026)

Deep learning for dynamic graphs: models and benchmarks
by: Gravina, Alessio, et al.
Published: (2023)

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
by: Otake, Hina, et al.
Published: (2024)

STEP: Structured Training and Evaluation Platform for benchmarking trajectory prediction models
by: Schumann, Julian F., et al.
Published: (2025)

OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
by: Yeung, Calvin, et al.
Published: (2025)

Are foundation models useful feature extractors for electroencephalography analysis?
by: Turgut, Özgün, et al.
Published: (2025)

Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025)

MEG-GPT: A transformer-based foundation model for magnetoencephalography data
by: Huang, Rukuang, et al.
Published: (2025)

Patient foundation model for risk stratification in low-risk overweight patients
by: Flamholz, Zachary N., et al.
Published: (2026)

Community search signatures as foundation features for human-centered geospatial modeling
by: Sun, Mimi, et al.
Published: (2024)

Participation in the age of foundation models
by: Suresh, Harini, et al.
Published: (2024)

Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
by: Proctor, Timothy, et al.
Published: (2025)

Airport Passenger Flow Forecasting via Deformable Temporal-Spectral Transformer Approach
by: Du, Wenbo, et al.
Published: (2025)