Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. - Martin Spisák; Radek Bartyzal; Antonín Hoskovec; Ladislav Peska; Miroslav Tuma (RecSys, 2023)

On Interpretability of Linear Autoencoders. - Martin Spisák; Radek Bartyzal; Antonín Hoskovec; Ladislav Peska (RecSys, 2024)

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. - Petr Kasalický; Martin Spisák; Vojtech Vancura; Daniel Bohunek; Rodrigo Alves; Pavel Kordík (CoRR, 2025)