Fantine Huot

According to our database, Fantine Huot authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Fantine Huot, Robert G. Clapp, Biondo L. Biondi

Comput. Geosci., 2024

DOLOMITES: Domain-Specific Long-Form Methodical Tasks.

Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti

CoRR, 2024

μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge.

Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Learning to Plan and Generate Text with Citations.

Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2023

QAmeleon: Multilingual QA with Only 5 Examples.

Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2023

Parameter-Efficient Multilingual Summarisation: An Empirical Study.

Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata

CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.

Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

Proceedings of the International Conference on Machine Learning, 2023

How (not) to ensemble LVLMs for VQA.

Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.

Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022

Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data.

Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata

CoRR, 2022

2021

Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data.

Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen

CoRR, 2021

2020

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data.

Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson

CoRR, 2020

2019

High-resolution imaging on TPUs.

Fantine Huot, Yi-Fan Chen, Robert G. Clapp, Carlos Boneti, John R. Anderson

CoRR, 2019

2018

A Seismic Shift in Scalable Acquisition Demands New Processing: Fiber-Optic Seismic Signal Retrieval in Urban Areas with Unsupervised Learning for Coherent Noise Removal.

Eileen R. Martin, Fantine Huot, Yinbin Ma, Robert Cieplicki, Steve Cole, Martin Karrenbach, Biondo L. Biondi

IEEE Signal Process. Mag., 2018