A new analysis method for evolutionary optimization of dynamic and noisy objective functions. - Raphaël Dang-Nhu; Thibault Dardinier; Benjamin Doerr; Gautier Izacard; Dorian Nogneng (GECCO, 2018)

A Learning-based Framework for Line-spectra Super-resolution. - Gautier Izacard; Brett Bernstein; Carlos Fernandez-Granda (ICASSP, 2019)

Data-driven Estimation of Sinusoid Frequencies. - Gautier Izacard; Sreyas Mohan; Carlos Fernandez-Granda (NeurIPS, 2019)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

A Memory Efficient Baseline for Open Domain Question Answering. - Gautier Izacard; Fabio Petroni; Lucas Hosseini; Nicola De Cao; Sebastian Riedel 001; Edouard Grave (CoRR, 2020)

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. - Gautier Izacard; Edouard Grave (EACL, 2021)

Autoregressive Entity Retrieval. - Nicola De Cao; Gautier Izacard; Sebastian Riedel 001; Fabio Petroni (ICLR, 2021)

Distilling Knowledge from Reader to Retriever for Question Answering. - Gautier Izacard; Edouard Grave (ICLR, 2021)

Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (CoRR, 2021)

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. - Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Dmytro Okhonko; Samuel Broscheit; Gautier Izacard; Patrick Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alaaeldin El-Nouby; Gautier Izacard; Hugo Touvron; Ivan Laptev; Hervé Jégou; Edouard Grave (CoRR, 2021)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (CoRR, 2022)

EditEval: An Instruction-Based Benchmark for Text Improvements. - Jane Dwivedi-Yu; Timo Schick; Zhengbao Jiang; Maria Lomeli; Patrick Lewis 001; Gautier Izacard; Edouard Grave; Sebastian Riedel 001; Fabio Petroni (CoRR, 2022)

Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (Trans. Mach. Learn. Res., 2022)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 2023)

PEER: A Collaborative Language Model. - Timo Schick; Jane A. Yu; Zhengbao Jiang; Fabio Petroni; Patrick Lewis 001; Gautier Izacard; Qingfei You; Christoforos Nalmpantis; Edouard Grave; Sebastian Riedel 001 (ICLR, 2023)

LLaMA: Open and Efficient Foundation Language Models. - Hugo Touvron; Thibaut Lavril; Gautier Izacard; Xavier Martinet; Marie-Anne Lachaux; Timothée Lacroix; Baptiste Rozière; Naman Goyal 001; Eric Hambro; Faisal Azhar; Aurélien Rodriguez; Armand Joulin; et al. (CoRR, 2023)

Atlas: Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (J. Mach. Learn. Res., 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)