Similarity encoding for learning with dirty categorical variables. - Patricio Cerda; Gaël Varoquaux; Balázs Kégl (Mach. Learn., 2018)

Statistical learning with high-cardinality string categorical variables. (Apprentissage statistique à partir de variables catégorielles non-uniformisées). - Patricio Cerda (2019)

CuratorNet: Visually-aware Recommendation of Art Images. - Denis Parra; Pablo Messina; Manuel Cartagena; Felipe del-Rio; Patricio Cerda-Mardini (ComplexRec-ImpactRS@RecSys, 2020)

Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. - Patricio Cerda-Mardini; Vladimir Araujo; Alvaro Soto (CoRR, 2020)

VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems. - Denis Parra; Antonio Ossa-Guerra; Manuel Cartagena; Patricio Cerda-Mardini; Felipe del-Rio (IUI Companion, 2021)

Encoding High-Cardinality String Categorical Variables. - Patricio Cerda; Gaël Varoquaux (IEEE Trans. Knowl. Data Eng., 2022)

Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers. - Félix Gaschi; Patricio Cerda; Parisa Rastin; Yannick Toussaint (ACL (Findings), 2023)

WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting. - Olly Styles; Sam Miller 006; Patricio Cerda-Mardini; Tanaya Guha; Victor Sanchez; Bertie Vidgen (CoRR, 2024)