Hugging Face Trending Papers August 4, 2026

TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

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Time series data are ubiquitous in practical applications, where classification (TSC) and extrinsic regression (TSER) have emerged as essential tasks for obtaining value from temporal sequences. While the literature has seen significant progress through feature-based and deep learning models, existing methods often focus either on the quality of feature extraction or on the intrinsic predictive power of complex architectures applied to raw data.

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arXiv Machine Learning

Aug 6

TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

arXiv:2608. 04174v1 Announce Type: new Abstract: Time series data are ubiquitous in practical applications, where classification (TSC) and extrinsic regression (TSER) have emerged as essential tasks for obtaining value from temporal sequences.

By Gabriel da Costa Merlin, Diego Furtado Silva

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arXiv Machine Learning

Jul 22

In-Context Time Series Classification with Random Convolutional Features

arXiv:2607. 19234v1 Announce Type: new Abstract: Time series classification is central to domains like medical signal analysis, industrial monitoring, and sensor-based activity recognition, where class information manifests as localized shapes, specific frequencies, temporal shifts, or complex cross-channel interactions.

By Joscha C\"uppers, Jilles Vreeken

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arXiv Machine Learning

Jun 2

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

arXiv:2606. 02384v1 Announce Type: new Abstract: Progress in tabular machine learning has largely focused on increasingly sophisticated model architectures.

By Andrej Tschalzev, Nick Erickson, Yuyang Wang, Huzefa Rangwala, Stefan L\"udtke, Heiner Stuckenschmidt, Christian Bartelt

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arXiv Machine Learning

Jul 21

ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts

arXiv:2511. 02152v2 Announce Type: replace Abstract: Time series data is one of the most popular data modalities in critical domains such as industry and medicine.

By Bart{\l}omiej Ma{\l}kus, Szymon Bobek, Grzegorz J. Nalepa

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arXiv AI

Jul 20

Scaling Time Series Classification via XAI-Driven Data Reduction

arXiv:2607. 15774v1 Announce Type: cross Abstract: Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for downstream tasks remains under-explored.

By Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim

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arXiv Machine Learning

Sep 1

TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

arXiv:2608.31013v1 Announce Type: new Abstract: Designing models that generalize effectively in low- to medium-data regimes remains a primary challenge in medical machine learning, particularly for p...

By J\'er\'emie Stym-Popper, Cl\'ement Rambour, Federica Granese, Nicolas Thome, Olivier Bernard

llms rag fine-tuning benchmarks

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TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

In-Context Time Series Classification with Random Convolutional Features

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts

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TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification