62 citations · 84 across the 9 of their papers we have counts for
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cs.LG2023
Lecture Notes in Probabilistic Diffusion Models
Inga Strümke, Helge Langseth
Diffusion models are loosely modelled based on non-equilibrium thermodynamics, where \textit{diffusion} refers to particles flowing from high-concentration regions towards low-conc…
cs.IR2023
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
Bjørnar Vassøy, Helge Langseth, Benjamin Kille
An emerging definition of fairness in machine learning requires that models are oblivious to demographic user information, e.g., a user's gender or age should not influence the mod…
cs.IR2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
Bjørnar Vassøy, Helge Langseth
In the current landscape of ever-increasing levels of digitalization, we are facing major challenges pertaining to scalability. Recommender systems have become irreplaceable both f…