Follow
Fantine Huot
Fantine Huot
Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
16122023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
4122024
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
4032023
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
842018
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
702022
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
342023
Distributed acoustic sensing in geophysics: Methods and applications
Y Li, M Karrenbach, J Ajo-Franklin
John Wiley & Sons, 2022
322022
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
252018
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
242020
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
212023
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
212018
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
21*2017
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
192022
Jump-starting neural network training for seismic problems
F Huot, B Biondi, G Beroza
SEG International Exposition and Annual Meeting, SEG-2018-2998567, 2018
172018
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
152021
High-resolution imaging on TPUs
F Huot, YF Chen, R Clapp, C Boneti, J Anderson
arXiv preprint arXiv:1912.08063, 2019
142019
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
132022
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
122021
Detecting earthquakes through telecom fiber using a convolutional neural network
F Huot, B Biondi
SEG Technical Program Expanded Abstracts 2020, 3452-3456, 2020
112020
Scaling up to city-wide dark-fiber seismic arrays: Lessons from five years of the Stanford DAS array project
B Biondi, RG Clapp, S Yuan, F Huot
First International Meeting for Applied Geoscience & Energy, 3225-3229, 2021
92021
The system can't perform the operation now. Try again later.
Articles 1–20