Morgane Riviere
Morgane Riviere
Google Deepmind
Verified email at
Cited by
Cited by
Libri-light: A benchmark for asr with limited or no supervision
J Kahn, M Riviere, W Zheng, E Kharitonov, Q Xu, PE Mazaré, J Karadayi, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Open catalyst 2020 (OC20) dataset and community challenges
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
Acs Catalysis 11 (10), 6059-6072, 2021
VoxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
C Wang, M Riviere, A Lee, A Wu, C Talnikar, D Haziza, M Williamson, ...
arXiv preprint arXiv:2101.00390, 2021
Unsupervised pretraining transfers well across languages
M Riviere, A Joulin, PE Mazaré, E Dupoux
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Data augmenting contrastive learning of speech representations in the time domain
E Kharitonov, M Rivière, G Synnaeve, L Wolf, PE Mazaré, M Douze, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 215-222, 2021
The zero resource speech benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
TA Nguyen, M de Seyssel, P Rozé, M Rivière, E Kharitonov, A Baevski, ...
arXiv preprint arXiv:2011.11588, 2020
Gdpp: Learning diverse generations using determinantal point processes
M Elfeki, C Couprie, M Riviere, M Elhoseiny
International conference on machine learning, 1774-1783, 2019
An introduction to electrocatalyst design using machine learning for renewable energy storage
CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ...
arXiv preprint arXiv:2010.09435, 2020
Textless speech emotion conversion using discrete and decomposed representations
F Kreuk, A Polyak, J Copet, E Kharitonov, TA Nguyen, M Rivière, WN Hsu, ...
arXiv preprint arXiv:2111.07402, 2021
The zero resource speech challenge 2021: Spoken language modelling
E Dunbar, M Bernard, N Hamilakis, TA Nguyen, M De Seyssel, P Rozé, ...
arXiv preprint arXiv:2104.14700, 2021
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
Towards unsupervised learning of speech features in the wild
M Rivière, E Dupoux
2021 IEEE Spoken Language Technology Workshop (SLT), 156-163, 2021
Fully parallel hyperparameter search: Reshaped space-filling
ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ...
International Conference on Machine Learning, 1338-1348, 2020
Inspirational adversarial image generation
B Rozière, M Riviere, O Teytaud, J Rapin, Y LeCun, C Couprie
IEEE Transactions on Image Processing 30, 4036-4045, 2021
ASR4REAL: An extended benchmark for speech models
M Riviere, J Copet, G Synnaeve
arXiv preprint arXiv:2110.08583, 2021
Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
M Lavechin, M Métais, H Titeux, A Boissonnet, J Copet, M Rivière, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-7, 2023
Learned force fields are ready for ground state catalyst discovery
M Schaarschmidt, M Riviere, AM Ganose, JS Spencer, AL Gaunt, ...
arXiv preprint arXiv:2209.12466, 2022
Correction to “the open catalyst 2020 (OC20) dataset and community challenges”
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
Acs Catalysis 11 (21), 13062-13065, 2021
A new boronate ester-based crosslinking strategy allows the design of nonswelling and long-term stable dynamic covalent hydrogels
N Lagneau, L Terriac, P Tournier, JJ Helesbeux, G Viault, D Séraphin, ...
Biomaterials Science 11 (6), 2033-2045, 2023
The system can't perform the operation now. Try again later.
Articles 1–20