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Arnaud Joly
Arnaud Joly
Amazon research
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Cited by
Year
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv preprint arXiv:1309.0238, 2013
34732013
Copycat: Many-to-many fine-grained prosody transfer for neural text-to-speech
S Karlapati, A Moinet, A Joly, V Klimkov, D Sáez-Trigueros, T Drugman
arXiv preprint arXiv:2004.14617, 2020
812020
Scikit-learn: Machine learning in Python
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
Journal of machine learning research 12 (85), 2825-2830, 2011
512011
ECML PKDD Workshop: languages for data mining and machine learning
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
API Design for Machine Learning Software: Experiences from the Scikit-Learn …, 2013
362013
Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study
N Layios, C Delierneux, A Hego, J Huart, C Gosset, C Lecut, N Maes, ...
Intensive care medicine experimental 5, 1-12, 2017
352017
L1-based compression of random forest models
A Joly, F Schnitzler, P Geurts, L Wehenkel
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2012
342012
Camp: a two-stage approach to modelling prosody in context
Z Hodari, A Moinet, S Karlapati, J Lorenzo-Trueba, T Merritt, A Joly, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
322021
Random forests with random projections of the output space for high dimensional multi-label classification
A Joly, P Geurts, L Wehenkel
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
322014
Prosodic representation learning and contextual sampling for neural text-to-speech
S Karlapati, A Abbas, Z Hodari, A Moinet, A Joly, P Karanasou, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
212021
Simple connectome inference from partial correlation statistics in calcium imaging
A Sutera, A Joly, V François-Lavet, A Qiu, G Louppe, D Ernst, P Geurts
Neural Connectomics Workshop, 23-35, 2015
182015
BASE TTS: Lessons from building a billion-parameter text-to-speech model on 100K hours of data
M Łajszczak, G Cámbara, Y Li, F Beyhan, A van Korlaar, F Yang, A Joly, ...
arXiv preprint arXiv:2402.08093, 2024
152024
Simple and effective multi-sentence TTS with expressive and coherent prosody
P Makarov, A Abbas, M Łajszczak, A Joly, S Karlapati, A Moinet, ...
arXiv preprint arXiv:2206.14643, 2022
152022
Globally induced forest: A prepruning compression scheme
JM Begon, A Joly, P Geurts
International conference on machine learning, 420-428, 2017
152017
scikit-learn/scikit-learn: Scikit-learn 0.22. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2020
142020
Exploiting random projections and sparsity with random forests and gradient boosting methods--Application to multi-label and multi-output learning, random forest model …
A Joly
arXiv preprint arXiv:1704.08067, 2017
112017
A learned conditional prior for the VAE acoustic space of a TTS system
P Karanasou, S Karlapati, A Moinet, A Joly, A Abbas, S Slangen, ...
arXiv preprint arXiv:2106.10229, 2021
92021
Distribution augmentation for low-resource expressive text-to-speech
M Lajszczak, A Prasad, A Van Korlaar, B Bollepalli, A Bonafonte, A Joly, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
82022
Gradient tree boosting with random output projections for multi-label classification and multi-output regression
A Joly, L Wehenkel, P Geurts
arXiv preprint arXiv:1905.07558, 2019
72019
Exploiting random projections and sparsity with random forests and gradient boosting methods
A Joly
arXiv preprint arXiv:1704.08067, 2016
62016
scikit-learn/scikit-learn: scikit-learn 1.0. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2022
42022
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