Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec? - Anton Klenitskiy; Alexey Vasilev (RecSys, 2023)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations. - Anton Klenitskiy; Anna Volodkevich; Anton Pembek; Alexey Vasilev (RecSys, 2024)

RePlay: a Recommendation Framework for Experimentation and Production Use. - Alexey Vasilev; Anna Volodkevich; Denis Kulandin; Tatiana Bysheva; Anton Klenitskiy (RecSys, 2024)

Autoregressive Generation Strategies for Top-K Sequential Recommendations. - Anna Volodkevich; Danil Gusak; Anton Klenitskiy; Alexey Vasilev (CoRR, 2024)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control. - Anton Klenitskiy; Konstantin Polev; Daria Denisova; Alexey Vasilev; Dmitry Simakov; Gleb Gusev (CoRR, 2025)

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. - Danil Gusak; Anna Volodkevich; Anton Klenitskiy; Alexey Vasilev; Evgeny Frolov (CoRR, 2025)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization. - Anton Pembek; Artem Fatkulin; Anton Klenitskiy; Alexey Vasilev (CoRR, 2025)

Encode Me If You Can: Learning Universal User Representations via Event Sequence Autoencoding. - Anton Klenitskiy; Artem Fatkulin; Daria Denisova; Anton Pembek; Alexey Vasilev (CoRR, 2025)

Autoregressive generation strategies for Top-K sequential recommendations. - Anna Volodkevich; Danil Gusak; Anton Klenitskiy; Anton Pembek; Alexey Vasilev (User Model. User Adapt. Interact., 2025)