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Thomas Kneib

Probabilistic Topic Modelling with Transformer Representations

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Mar 06, 2024
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TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds

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Sep 15, 2023
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Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean

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Jan 27, 2023
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Bayesian Discrete Conditional Transformation Models

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May 17, 2022
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Distributional Gradient Boosting Machines

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Apr 02, 2022
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Transforming Autoregression: Interpretable and Expressive Time Series Forecast

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Oct 15, 2021
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Boosting Joint Models for Longitudinal and Time-to-Event Data

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Dec 22, 2016
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