Robust contextual models for in-session personalization. - Maksims Volkovs; Anson Wong; Zhaoyue Cheng; Felipe Pérez; Ilya Stanevich; Yichao Lu (RecSys Challenge, 2019)

Improving Transformer Optimization Through Better Initialization. - Xiao Shi Huang; Felipe Pérez; Jimmy Ba; Maksims Volkovs (ICML, 2020)

TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. - Jin Peng Zhou; Zhaoyue Cheng; Felipe Pérez; Maksims Volkovs (RecSys, 2020)

User Engagement Modeling with Deep Learning and Language Models. - Maksims Volkovs; Felipe Pérez; Zhaoyue Cheng; Jianing Sun; Sajad Norouzi; Anson Wong; Pawel Jankiewicz; Barum Rho (RecSys Challenge, 2021)

HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. - Jianing Sun; Zhaoyue Cheng; Saba Zuberi; Felipe Pérez; Maksims Volkovs (WWW, 2021)

Improving Non-Autoregressive Translation Models Without Distillation. - Xiao Shi Huang; Felipe Pérez; Maksims Volkovs (ICLR, 2022)

Pre-Processing Techniques for Improving a Topological Map-Matching Algorithm. - Carola Blazquez; Roberto León; Felipe Pérez; Luis Delgado (SCCC, 2022)

MCL: Mixed-Centric Loss for Collaborative Filtering. - Zhaolin Gao; Zhaoyue Cheng; Felipe Pérez; Jianing Sun; Maksims Volkovs (WWW, 2022)

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers. - Sajad Norouzi; Rasa Hosseinzadeh; Felipe Pérez; Maksims Volkovs (CoRR, 2022)

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation. - Sajad Norouzi; Rasa Hosseinzadeh; Felipe Pérez; Maksims Volkovs (ACL (Findings), 2023)