Anne Morvan

According to our database, Anne Morvan authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GeoVeX: Geospatial Vectors with Hexagonal Convolutional Autoencoders.

Daniele Donghi, Anne Morvan

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

2021

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

Proceedings of the Workshop on Recommenders in Tourism co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

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

PhD thesis, 2018

On the Needs for Rotations in Hypercubic Quantization Hashing.

Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2018

Graph-based Clustering under Differential Privacy.

Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Graph sketching-based Space-efficient Data Clustering.

Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization.

Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Graph sketching-based Massive Data Clustering.

Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2017

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

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

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