Julien Launay - RankMe

27 papers A* 4B 1Misc 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. CoRR 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
2023	—	`conf`	AlGhafa Evaluation Benchmark for Arabic Language Models. ArabicNLP Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, Quentin Malartic, Hamza Alobeidli, Daniele Mazzotta, Guilherme Penedo, Giulia Campesan, Mugariya Farooq, Maitha Alhammadi, Julien Launay, Badreddine Noune
2023	J	`jnl`	The Falcon Series of Open Language Models. CoRR 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
2023	A*	`conf`	The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only. NeurIPS Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Hamza Alobeidli, Alessandro Cappelli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay
2023	J	`jnl`	The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only. CoRR Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay
2022	Misc	`conf`	Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
2022	B	`conf`	PAGnol: An Extra-Large French Generative Model. LREC Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah
2022	J	`jnl`	Scaling Laws Beyond Backpropagation. CoRR Matthew J. Filipovich, Alessandro Cappelli, Daniel Hesslow, Julien Launay
2022	J	`jnl`	What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? CoRR Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel
2022	A*	`conf`	What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization? ICML Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel
2022	—	`conf`	What Language Model to Train if You Have One Million GPU Hours? EMNLP (Findings) 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
2022	J	`jnl`	What Language Model to Train if You Have One Million GPU Hours? CoRR 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
2021	J	`jnl`	Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
2021	—	`conf`	Is the Number of Trainable Parameters All That Actually Matters? ICBINB@NeurIPS Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay
2021	J	`jnl`	Is the Number of Trainable Parameters All That Actually Matters? CoRR Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli
2021	—	`conf`	LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. HCS 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
2021	J	`jnl`	LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. CoRR 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
2021	J	`jnl`	PAGnol: An Extra-Large French Generative Model. CoRR Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah
2021	A*	`conf`	Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
2021	J	`jnl`	Photonic Differential Privacy with Direct Feedback Alignment. CoRR Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
2021	J	`jnl`	ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli
2020	A*	`conf`	Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. NeurIPS Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala
2020	J	`jnl`	Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. CoRR Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala
2020	J	`jnl`	Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. CoRR Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
2020	J	`jnl`	Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. CoRR Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
2019	—	`conf`	Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines. SOHOMA Olivier Cardin, Pierre Castagna, Daniel Couedel, Christophe Plot, Julien Launay, Nadine Allanic, Yannick Madec, Stéphanie Jegouzo
2019	J	`jnl`	Principled Training of Neural Networks with Direct Feedback Alignment. CoRR Julien Launay, Iacopo Poli, Florent Krzakala