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20172026
most citedResearch Topic Flows in Co-Authorship Networks

20 citations · 158 across the 42 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

MixBench-TS: A Multivariate Time Series Forecasting Benchmark Where Channel Mixing Pays Off

Ibram Abdelmalak, Mischa Putzke, Jungmin Choi +3

Multivariate Time Series Forecasting (MTSF) models that mix information across channels assume that the past of one channel carries information about the future of another. Yet the…

cs.LG2026

Do Tabular Foundation Models Agree with Themselves?

Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme +1

Tabular Foundation Models (TFMs) are the state of the art for many tabular prediction tasks. They are transformers that approximate the Bayesian posterior predictive distribution u…

cs.LG2026

The Importance of Encoder Choice:A Tabular-Image Study

Ilia Koloiarov, Diego Coello de Portugal Mecke, Vijaya Krishna Yalavarthi +2

Multimodal learning usually requires a dedicated encoder per modality. When a tabular modality is involved, prior work has been mostly using a \emph{plain MLP} as the encoder. Yet…

cs.LG2026

Gaussian Mixture Copula Processes for Irregular Time Series

Christian Klötergens, Tom Hanika, Lars Schmidt-Thieme +1

We introduce Gaussian Mixture Copula Processes (GMCP), a conditional copula process for irregularly sampled multivariate time series (IMTS) that is expressive and marginalization c…

cs.LG2026

Prune, Update and Trim: Robust Structured Pruning for Large Language Models

Diego Coello de Portugal Mecke, Tom Hanika, Lars Schmidt-Thieme

Large Language Models (LLMs) have experienced significant growth and development in recent years. However, performing inference on LLMs remains costly, especially for long-context…

cs.LG2026

LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification

Ahmad Bdeir, Johannes Burchert, Tom Hanika +2

Electroencephalogram (EEG) classification plays a key role in medical diagnosis and brain-computer interfaces, but remains challenging due to low signal-to-noise ratios and high in…

cs.CV2026

HexFormer: Hyperbolic Vision Transformer with Exponential Map Aggregation

Haya Alyoussef, Ahmad Bdeir, Diego Coello de Portugal Mecke +3

Data across modalities such as images, text, and graphs often contains hierarchical and relational structures, which are challenging to model within Euclidean geometry. Hyperbolic…