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Helge Langseth

Probing the Robustness of Time-series Forecasting Models with CounterfacTS

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Mar 06, 2024
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Lecture Notes in Probabilistic Diffusion Models

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Dec 16, 2023
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Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders

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Aug 29, 2023
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Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation

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May 16, 2023
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A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process

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Aug 10, 2022
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Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities

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May 13, 2021
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Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles

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Jul 19, 2020
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Learning similarity measures from data

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Jan 15, 2020
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Probabilistic Models with Deep Neural Networks

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Aug 09, 2019
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Forecasting Intra-Hour Imbalances in Electric Power Systems

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Feb 01, 2019
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