Metadata Embeddings for User and Item Cold-start Recommendations. - Maciej Kula (CBRecSys@RecSys, 2015)

Binary Latent Representations for Efficient Ranking: Empirical Assessment. - Maciej Kula (CoRR, 2017)

Mixture-of-tastes Models for Representing Users with Diverse Interests. - Maciej Kula (CoRR, 2017)

Recommender Systems with Generative Retrieval. - Shashank Rajput; Nikhil Mehta 002; Anima Singh; Raghunandan Hulikal Keshavan; Trung Vu 002; Lukasz Heldt; Lichan Hong; Yi Tay; Vinh Q. Tran 002; Jonah Samost; Maciej Kula; Ed H. Chi; et al. (NeurIPS, 2023)

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. - Huan Gui; Ruoxi Wang; Ke Yin; Long Jin; Maciej Kula; Taibai Xu; Lichan Hong; Ed H. Chi (CoRR, 2023)

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. - Nikhil Khani; Li Wei; Aniruddh Nath; Shawn Andrews; Shuo Yang; Yang Liu 136; Pendo Abbo; Maciej Kula; Jarrod Kahn; Zhe Zhao 001; Lichan Hong; Ed H. Chi (RecSys, 2024)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)