Zobrazeno 1 - 10
of 1 768
pro vyhledávání: '"P. Douillard"'
Autor:
Popov, Alexander, Degirmenci, Alperen, Wehr, David, Hegde, Shashank, Oldja, Ryan, Kamenev, Alexey, Douillard, Bertrand, Nistér, David, Muller, Urs, Bhargava, Ruchi, Birchfield, Stan, Smolyanskiy, Nikolai
We propose the use of latent space generative world models to address the covariate shift problem in autonomous driving. A world model is a neural network capable of predicting an agent's next state given past states and actions. By leveraging a worl
Externí odkaz:
http://arxiv.org/abs/2409.16663
Autor:
Ramé, Alexandre, Ferret, Johan, Vieillard, Nino, Dadashi, Robert, Hussenot, Léonard, Cedoz, Pierre-Louis, Sessa, Pier Giuseppe, Girgin, Sertan, Douillard, Arthur, Bachem, Olivier
Reinforcement learning from human feedback (RLHF) aligns large language models (LLMs) by encouraging their generations to have high rewards, using a reward model trained on human preferences. To prevent the forgetting of pre-trained knowledge, RLHF u
Externí odkaz:
http://arxiv.org/abs/2406.16768
Autor:
El-Sayed, Seliem, Akbulut, Canfer, McCroskery, Amanda, Keeling, Geoff, Kenton, Zachary, Jalan, Zaria, Marchal, Nahema, Manzini, Arianna, Shevlane, Toby, Vallor, Shannon, Susser, Daniel, Franklin, Matija, Bridgers, Sophie, Law, Harry, Rahtz, Matthew, Shanahan, Murray, Tessler, Michael Henry, Douillard, Arthur, Everitt, Tom, Brown, Sasha
Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generative AI presents a new risk profile of persuasion due the opportunity f
Externí odkaz:
http://arxiv.org/abs/2404.15058
Autor:
Douillard, Arthur, Feng, Qixuan, Rusu, Andrei A., Kuncoro, Adhiguna, Donchev, Yani, Chhaparia, Rachita, Gog, Ionel, Ranzato, Marc'Aurelio, Shen, Jiajun, Szlam, Arthur
Progress in machine learning (ML) has been fueled by scaling neural network models. This scaling has been enabled by ever more heroic feats of engineering, necessary for accommodating ML approaches that require high bandwidth communication between de
Externí odkaz:
http://arxiv.org/abs/2403.10616
Autor:
Liu, Bo, Chhaparia, Rachita, Douillard, Arthur, Kale, Satyen, Rusu, Andrei A., Shen, Jiajun, Szlam, Arthur, Ranzato, Marc'Aurelio
Local stochastic gradient descent (Local-SGD), also referred to as federated averaging, is an approach to distributed optimization where each device performs more than one SGD update per communication. This work presents an empirical study of {\it as
Externí odkaz:
http://arxiv.org/abs/2401.09135
Autor:
Douillard, Arthur, Feng, Qixuan, Rusu, Andrei A., Chhaparia, Rachita, Donchev, Yani, Kuncoro, Adhiguna, Ranzato, Marc'Aurelio, Szlam, Arthur, Shen, Jiajun
Large language models (LLM) have become a critical component in many applications of machine learning. However, standard approaches to training LLM require a large number of tightly interconnected accelerators, with devices exchanging gradients and o
Externí odkaz:
http://arxiv.org/abs/2311.08105
Autor:
Caccia, Massimo, Galashov, Alexandre, Douillard, Arthur, Rannen-Triki, Amal, Rao, Dushyant, Paganini, Michela, Charlin, Laurent, Ranzato, Marc'Aurelio, Pascanu, Razvan
The field of transfer learning is undergoing a significant shift with the introduction of large pretrained models which have demonstrated strong adaptability to a variety of downstream tasks. However, the high computational and memory requirements to
Externí odkaz:
http://arxiv.org/abs/2304.13164
Autor:
Wladimir Mauhin, Nathalie Guffon, Marie T. Vanier, Roseline Froissart, Aline Cano, Claire Douillard, Christian Lavigne, Bénédicte Héron, Nadia Belmatoug, Yurdagül Uzunhan, Didier Lacombe, Thierry Levade, Aymeric Duvivier, Ruth Pulikottil-Jacob, Fernando Laredo, Samia Pichard, Olivier Lidove, ASSUR Study Group
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background Acid sphingomyelinase deficiency (ASMD) or Niemann–Pick disease types A, A/B, and B is a progressive, life-limiting, autosomal recessive disorder caused by sphingomyelin phosphodiesterase 1 (SMPD1) gene mutations. There is a nee
Externí odkaz:
https://doaj.org/article/ab41a96d0cef4ab491a951b59def6bd6
Autor:
Froidevaux, Marie, Douillard, Ludovic, Boutu, Willem, Kovacev, Milutin, Zeitoun, Philippe, Merdji, Hamed
Strong-field quantum electronics is emerging as a potential candidate in information processing but still coherence vs decoherence is a primary concern of the concept. Strong-field coherent processes in band gap materials have led during the last dec
Externí odkaz:
http://arxiv.org/abs/2301.02115
Autor:
Jean-Baptiste Arnoux, Claire Douillard, Francois Maillot, Stéphane Bouée, Christian Jacob, Kim Maren Schneider, Julia Theil, Sybil Charrière
Publikováno v:
Molecular Genetics and Metabolism Reports, Vol 41, Iss , Pp 101134- (2024)
Background: Phenylketonuria (PKU) is an inherited metabolic disease. If left untreated, it can lead to severe irreversible intellectual disability and can cause seizures, behavior disturbance, and white matter disease. This study aimed at evaluating
Externí odkaz:
https://doaj.org/article/12fa43473b034ec3b0f8760465a67c5e