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Arik Reuter

Do-PFN: In-Context Learning for Causal Effect Estimation

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Jun 06, 2025
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Position: The Future of Bayesian Prediction Is Prior-Fitted

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May 29, 2025
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Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks

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Apr 11, 2025
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Can Transformers Learn Full Bayesian Inference in Context?

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Jan 28, 2025
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Mambular: A Sequential Model for Tabular Deep Learning

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Aug 12, 2024
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Probabilistic Topic Modelling with Transformer Representations

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Mar 06, 2024
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GPTopic: Dynamic and Interactive Topic Representations

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Mar 06, 2024
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Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence

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Mar 30, 2023
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