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Fantine Huot
Fantine Huot
Google DeepMind
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
31812023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
11512024
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
5732023
Next day wildfire spread: A machine learning dataset to predict wildfire spreading from remote-sensing data
F Huot, RL Hu, N Goyal, T Sankar, M Ihme, YF Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
922022
A seismic shift in scalable acquisition demands new processing: Fiber-optic seismic signal retrieval in urban areas with unsupervised learning for coherent noise removal
ER Martin, F Huot, Y Ma, R Cieplicki, S Cole, M Karrenbach, BL Biondi
IEEE Signal Processing Magazine 35 (2), 31-40, 2018
922018
Distributed acoustic sensing in geophysics: Methods and applications
Y Li, M Karrenbach, J Ajo-Franklin
John Wiley & Sons, 2022
502022
Conditional generation with a question-answering blueprint
S Narayan, J Maynez, RK Amplayo, K Ganchev, A Louis, F Huot, ...
Transactions of the Association for Computational Linguistics 11, 974-996, 2023
402023
QAmeleon: Multilingual QA with Only 5 Examples
P Agrawal, C Alberti, F Huot, J Maynez, J Ma, S Ruder, K Ganchev, D Das, ...
Transactions of the Association for Computational Linguistics 11, 1754-1771, 2023
292023
Detection and characterization of microseismic events from fiber‐optic DAS data using deep learning
F Huot, A Lellouch, P Given, B Luo, RG Clapp, T Nemeth, KT Nihei, ...
Seismological Research Letters (2022) 93 (5), 2543–2553, 2022
282022
Deep learning models for predicting wildfires from historical remote-sensing data
F Huot, RL Hu, M Ihme, Q Wang, J Burge, T Lu, J Hickey, YF Chen, ...
arXiv preprint arXiv:2010.07445, 2020
282020
Automated ambient noise processing applied to fiber optic seismic acquisition (DAS)
F Huot, ER Martin, B Biondi
SEG International Exposition and Annual Meeting, SEG-2018-2997880, 2018
262018
Machine learning algorithms for automated seismic ambient noise processing applied to DAS acquisition
F Huot, B Biondi
SEG International Exposition and Annual Meeting, SEG-2018-W20-03, 2018
222018
Automatic noise exploration in urban areas
F Huot, Y Ma, R Cieplicki, E Martin, B Biondi
SEG Technical Program Expanded Abstracts 2017, 5027-5032, 2017
22*2017
Using telecommunication fiber infrastructure for earthquake monitoring and near‐surface characterization
BL Biondi, S Yuan, ER Martin, F Huot, RG Clapp
Distributed acoustic sensing in geophysics: methods and applications, 131-148, 2021
212021
Jump-starting neural network training for seismic problems
F Huot, B Biondi, G Beroza
SEG International Exposition and Annual Meeting, SEG-2018-2998567, 2018
182018
Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves
A Lellouch, B Luo, F Huot, RG Clapp, P Given, E Biondi, T Nemeth, ...
Geophysics 87 (3), KS83-KS95, 2022
162022
High-resolution imaging on TPUs
F Huot, YF Chen, R Clapp, C Boneti, J Anderson
arXiv preprint arXiv:1912.08063, 2019
162019
Detecting microseismic events on DAS fiber with super-human accuracy
F Huot, A Lellouch, P Given, RG Clapp, BL Biondi, T Nemeth, K Nihei
SEG International Exposition and Annual Meeting, D011S136R001, 2021
132021
Detecting earthquakes through telecom fiber using a convolutional neural network
F Huot, B Biondi
SEG Technical Program Expanded Abstracts 2020, 3452-3456, 2020
132020
Learning to plan and generate text with citations
C Fierro, RK Amplayo, F Huot, N De Cao, J Maynez, S Narayan, M Lapata
arXiv preprint arXiv:2404.03381, 2024
112024
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