no code implementations • 22 Dec 2022 • Pooja Chitkara, Morgane Riviere, Jade Copet, Frank Zhang, Yatharth Saraf
Speech to text models tend to be trained and evaluated against a single target accent.
no code implementations • 26 Sep 2022 • Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin
We present evidence that learned density functional theory (``DFT'') force fields are ready for ground state catalyst discovery.
no code implementations • 16 Oct 2021 • Morgane Riviere, Jade Copet, Gabriel Synnaeve
Popular ASR benchmarks such as Librispeech and Switchboard are limited in the diversity of settings and speakers they represent.
5 code implementations • 20 Oct 2020 • Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi
Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production.
no code implementations • 14 Oct 2020 • C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary Ulissi
As we increase our reliance on renewable energy sources such as wind and solar, which produce intermittent power, storage is needed to transfer power from times of peak generation to peak demand.
1 code implementation • 17 Jun 2019 • Baptiste Rozière, Morgane Riviere, Olivier Teytaud, Jérémy Rapin, Yann Lecun, Camille Couprie
We design a simple optimization method to find the optimal latent parameters corresponding to the closest generation to any input inspirational image.
4 code implementations • 30 Nov 2018 • Mohamed Elfeki, Camille Couprie, Morgane Riviere, Mohamed Elhoseiny
Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic-looking images.