Fantine Huot

Fantine Huot

Stanford University

H-index: 12

North America-United States

About Fantine Huot

Fantine Huot, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Stanford University, specializes in the field of machine learning, high performance computing, earth sciences, distributed acoustic sensing, natural.

His recent articles reflect a diverse array of research interests and contributions to the field:

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Learning to Plan and Generate Text with Citations

Conditional generation with a question-answering blueprint

QAmeleon: Multilingual QA with Only 5 Examples

Scaling vision transformers to 22 billion parameters

Gemini: a family of highly capable multimodal models

[TACL] Conditional Generation with a Question-Answering Blueprint

Parameter-Efficient Multilingual Summarisation: An Empirical Study

Fantine Huot Information

University

Position

___

Citations(all)

548

Citations(since 2020)

531

Cited By

79

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Fantine Huot Skills & Research Interests

machine learning

high performance computing

earth sciences

distributed acoustic sensing

natural

Top articles of Fantine Huot

Title

Journal

Author(s)

Publication Date

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

arXiv preprint arXiv:2403.05530

Machel Reid

Nikolay Savinov

Denis Teplyashin

Dmitry Lepikhin

Timothy Lillicrap

...

2024/3/8

Learning to Plan and Generate Text with Citations

arXiv preprint arXiv:2404.03381

Constanza Fierro

Reinald Kim Amplayo

Fantine Huot

Nicola De Cao

Joshua Maynez

...

2024/4/4

Conditional generation with a question-answering blueprint

Transactions of the Association for Computational Linguistics

Shashi Narayan

Joshua Maynez

Reinald Kim Amplayo

Kuzman Ganchev

Annie Louis

...

2023/8/15

QAmeleon: Multilingual QA with Only 5 Examples

Transactions of the Association for Computational Linguistics

Priyanka Agrawal

Chris Alberti

Fantine Huot

Joshua Maynez

Ji Ma

...

2023/12/21

Scaling vision transformers to 22 billion parameters

Mostafa Dehghani

Josip Djolonga

Basil Mustafa

Piotr Padlewski

Jonathan Heek

...

2023/7/3

Gemini: a family of highly capable multimodal models

arXiv preprint arXiv:2312.11805

Gemini Team

Rohan Anil

Sebastian Borgeaud

Yonghui Wu

Jean-Baptiste Alayrac

...

2023/12/19

[TACL] Conditional Generation with a Question-Answering Blueprint

Shashi Narayan

Joshua Maynez

Reinald Kim Amplayo

Kuzman Ganchev

Annie Louis

...

2023/7

Parameter-Efficient Multilingual Summarisation: An Empirical Study

arXiv preprint arXiv:2311.08572

Chenxi Whitehouse

Fantine Huot

Jasmijn Bastings

Mostafa Dehghani

Chu-Cheng Lin

...

2023/11/14

PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge

arXiv preprint arXiv:2305.14205

Fantine Huot

Joshua Maynez

Chris Alberti

Reinald Kim Amplayo

Priyanka Agrawal

...

2023/5/23

How (not) to ensemble LVLMs for VQA

arXiv preprint arXiv:2310.06641

Lisa Alazraki

Lluis Castrejon

Mostafa Dehghani

Fantine Huot

Jasper Uijlings

...

2023/10/10

Text-blueprint: An interactive platform for plan-based conditional generation

Fantine Huot

Joshua Maynez

Shashi Narayan

Reinald Kim Amplayo

Kuzman Ganchev

...

2023/5

Automatic microseismic event detection in downhole DAS data through convolutional neural networks: A comparison of events during and post-stimulation of the well

Paige Given

Fantine Huot

Ariel Lellouch

Bin Luo

Robert G Clapp

...

2022/8/15

Distributed acoustic sensing in geophysics: Methods and applications

Yingping Li

Martin Karrenbach

Jonathan Ajo-Franklin

2022/1/26

Next day wildfire spread: A machine learning dataset to predict wildfire spreading from remote-sensing data

IEEE Transactions on Geoscience and Remote Sensing

Fantine Huot

R Lily Hu

Nita Goyal

Tharun Sankar

Matthias Ihme

...

2022/7/26

Machine Learning for Seismic Event Detection: A Story in Three Parts: Earthquakes, Microseismic Events, and Tectonic Tremors

Fantine Huot

2022

Detection and characterization of microseismic events from fiber‐optic DAS data using deep learning

Seismological Research Letters (2022)

Fantine Huot

Ariel Lellouch

Paige Given

Bin Luo

Robert G. Clapp

...

2022/7/19

Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves

Geophysics

Ariel Lellouch

Bin Luo

Fantine Huot

Robert G Clapp

Paige Given

...

2022/5/1

Detecting local earthquakes via fiber-optic cables in telecommunication conduits under Stanford University campus using deep learning

arXiv preprint arXiv:2203.05932

Fantine Huot

Robert G Clapp

Biondo L Biondi

2022/3/11

Using telecommunication fiber infrastructure for earthquake monitoring and near‐surface characterization

Distributed Acoustic Sensing in Geophysics: Methods and Applications

Biondo L Biondi

Siyuan Yuan

Eileen R Martin

Fantine Huot

Robert G Clapp

2021/12/30

Detecting microseismic events on DAS fiber with super-human accuracy

Fantine Huot

Ariel Lellouch

Paige Given

Robert G Clapp

Biondo L Biondi

...

2021/10/30

See List of Professors in Fantine Huot University(Stanford University)