2 papers
cs.LG2026
Maximum-Volume Nonnegative Matrix Factorization
Olivier Vu Thanh, Nicolas Gillis
Nonnegative matrix factorization (NMF) is a popular data embedding technique. Given a nonnegative data matrix , it aims at finding two lower dimensional matrices, and , s…
cs.AI2025
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
Maxime Manderlier, Fabian Lecron, Olivier Vu Thanh +1
We investigate whether large language models (LLMs) can generate effective, user-facing explanations from a mathematically interpretable recommendation model. The model is based on…