TripleSpin - a generic compact paradigm for fast machine learning computations. - Krzysztof Choromanski; Francois Fagan; Cédric Gouy-Pailler; Anne Morvan; Tamás Sarlós; Jamal Atif (CoRR, 2016)

Structured adaptive and random spinners for fast machine learning computations. - Mariusz Bojarski; Anna Choromanska; Krzysztof Choromanski; Francois Fagan; Cédric Gouy-Pailler; Anne Morvan; Nourhan Sakr; Tamás Sarlós; Jamal Atif (AISTATS, 2017)

Graph sketching-based Massive Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2017)

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. - Anne Morvan; Antoine Souloumiac; Cédric Gouy-Pailler; Jamal Atif (ICASSP, 2018)

Graph sketching-based Space-efficient Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (SDM, 2018)

Graph-based Clustering under Differential Privacy. - Rafael Pinot; Anne Morvan; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (UAI, 2018)

On the Needs for Rotations in Hypercubic Quantization Hashing. - Anne Morvan; Antoine Souloumiac; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2018)

Contributions to unsupervised learning from massive high-dimensional data streams: structuring, hashing and clustering. (Contributions à l'apprentissage non supervisé à partir de flux de données massives en grande dimension: structuration, hashing et clustering). - Anne Morvan (2018)

Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. - Ioannis Partalas; Anne Morvan; Ali Sadeghian; Shervin Minaee; Xinxin Li; Brooke Cowan; Daisy Zhe Wang (RecTour@RecSys, 2021)

GeoVeX: Geospatial Vectors with Hexagonal Convolutional Autoencoders. - Daniele Donghi; Anne Morvan (GeoAI@SIGSPATIAL, 2023)