| 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 | 467 | 2023 |
| 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 | 258 | 2023 |
| 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 | 75 | 2018 |
| 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 | 50 | 2022 |
| 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 | 24 | 2018 |
| 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 | 22 | 2023 |
| Distributed acoustic sensing in geophysics: Methods and applications Y Li, M Karrenbach, J Ajo-Franklin John Wiley & Sons, 2022 | 22 | 2022 |
| 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 | 20 | 2018 |
| 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 | 20* | 2017 |
| 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 | 18 | 2020 |
| 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 | 16 | 2023 |
| Jump-starting neural network training for seismic problems F Huot, B Biondi, G Beroza SEG International Exposition and Annual Meeting, SEG-2018-2998567, 2018 | 16 | 2018 |
| 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 | 15 | 2022 |
| 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 | 15 | 2021 |
| Detecting earthquakes through telecom fiber using a convolutional neural network F Huot, B Biondi SEG Technical Program Expanded Abstracts 2020, 3452-3456, 2020 | 11 | 2020 |
| High-resolution imaging on TPUs F Huot, YF Chen, R Clapp, C Boneti, J Anderson arXiv preprint arXiv:1912.08063, 2019 | 11 | 2019 |
| 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 | 10 | 2022 |
| 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 | 10 | 2021 |
| 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 | 9 | 2021 |
| 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 | 8 | 2024 |
