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2020 – today
- 2023
[c6]Daniele Donghi
, Anne Morvan:
GeoVeX: Geospatial Vectors with Hexagonal Convolutional Autoencoders. GeoAI@SIGSPATIAL 2023: 3-13- 2021
- [c5]Ioannis Partalas, Anne Morvan, Ali Sadeghian, Shervin Minaee, Xinxin Li, Brooke Cowan, Daisy Zhe Wang:
Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. RecTour@RecSys 2021: 69-84
2010 – 2019
- 2018
- [b1]Anne Morvan:
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). PSL Research University, Paris, France, 2018 - [c4]Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif:
Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. ICASSP 2018: 2421-2425 - [c3]Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
Graph sketching-based Space-efficient Data Clustering. SDM 2018: 10-18 - [c2]Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Graph-based Clustering under Differential Privacy. UAI 2018: 329-338 - [i6]Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
On the Needs for Rotations in Hypercubic Quantization Hashing. CoRR abs/1802.03936 (2018) - [i5]Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Graph-based Clustering under Differential Privacy. CoRR abs/1803.03831 (2018) - 2017
- [c1]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif:
Structured adaptive and random spinners for fast machine learning computations. AISTATS 2017: 1020-1029 - [i4]Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif:
Graph sketching-based Massive Data Clustering. CoRR abs/1703.02375 (2017) - [i3]Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif:
Streaming Binary Sketching based on Subspace Tracking and Diagonal Uniformization. CoRR abs/1705.07661 (2017) - 2016
- [i2]Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif:
TripleSpin - a generic compact paradigm for fast machine learning computations. CoRR abs/1605.09046 (2016) - [i1]Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif:
Structured adaptive and random spinners for fast machine learning computations. CoRR abs/1610.06209 (2016)
Coauthor Index
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