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ORCIDJulien Launay
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2020 – today
- 2024
[i17]Ziao Wang, Kilian Müller, Matthew J. Filipovich, Julien Launay, Ruben Ohana, Gustave Pariente, Safa Mokaadi, Charles Brossollet, Fabien Moreau, Alessandro Cappelli, Iacopo Poli, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. CoRR abs/2409.12965 (2024)- 2023
- [c11]Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Hamza Alobeidli, Alessandro Cappelli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay:
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only. NeurIPS 2023 - [c10]Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, Quentin Malartic, Hamza Alobeidli, Daniele Mazzotta, Guilherme Penedo, Giulia Campesan, Mugariya Farooq, Maitha Alhammadi, Julien Launay, Badreddine Noune:
AlGhafa Evaluation Benchmark for Arabic Language Models. ArabicNLP 2023: 244-275 - [i16]Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay:
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only. CoRR abs/2306.01116 (2023) - [i15]Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru
, Mérouane Debbah, Étienne Goffinet, Daniel Hesslow, Julien Launay, Quentin Malartic, Daniele Mazzotta, Badreddine Noune, Baptiste Pannier, Guilherme Penedo:
The Falcon Series of Open Language Models. CoRR abs/2311.16867 (2023) - 2022
- [c9]Teven Le Scao, Thomas Wang, Daniel Hesslow, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? EMNLP (Findings) 2022: 765-782 - [c8]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP 2022: 3493-3497 - [c7]Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel:
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization? ICML 2022: 22964-22984 - [c6]Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah:
PAGnol: An Extra-Large French Generative Model. LREC 2022: 4275-4284 - [i14]Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel:
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? CoRR abs/2204.05832 (2022) - [i13]Matthew J. Filipovich, Alessandro Cappelli, Daniel Hesslow, Julien Launay:
Scaling Laws Beyond Backpropagation. CoRR abs/2210.14593 (2022) - [i12]Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? CoRR abs/2210.15424 (2022) - [i11]Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.:
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR abs/2211.05100 (2022) - 2021
- [c5]Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. HCS 2021: 1-11 - [c4]Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay:
Is the Number of Trainable Parameters All That Actually Matters? ICBINB@NeurIPS 2021: 27-32 - [c3]Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS 2021: 22010-22020 - [i10]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR abs/2101.02115 (2021) - [i9]Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
Photonic Differential Privacy with Direct Feedback Alignment. CoRR abs/2106.03645 (2021) - [i8]Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. CoRR abs/2107.11814 (2021) - [i7]Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli:
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR abs/2108.04217 (2021) - [i6]Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli:
Is the Number of Trainable Parameters All That Actually Matters? CoRR abs/2109.11928 (2021) - [i5]Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah:
PAGnol: An Extra-Large French Generative Model. CoRR abs/2110.08554 (2021) - 2020
- [c2]Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala:
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. NeurIPS 2020 - [i4]Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. CoRR abs/2006.01475 (2020) - [i3]Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala:
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. CoRR abs/2006.12878 (2020) - [i2]Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. CoRR abs/2012.06373 (2020)
2010 – 2019
- 2019
- [c1]Olivier Cardin, Pierre Castagna, Daniel Couedel, Christophe Plot, Julien Launay, Nadine Allanic, Yannick Madec, Stéphanie Jegouzo:
Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines. SOHOMA 2019: 183-194 - [i1]Julien Launay, Iacopo Poli, Florent Krzakala:
Principled Training of Neural Networks with Direct Feedback Alignment. CoRR abs/1906.04554 (2019)
Coauthor Index
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last updated on 2024-10-18 20:32 CEST by the dblp team
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