Zobrazeno 1 - 10
of 403
pro vyhledávání: '"Jacob, Paul."'
Autor:
Agrawal, Pravesh, Antoniak, Szymon, Hanna, Emma Bou, Bout, Baptiste, Chaplot, Devendra, Chudnovsky, Jessica, Costa, Diogo, De Monicault, Baudouin, Garg, Saurabh, Gervet, Theophile, Ghosh, Soham, Héliou, Amélie, Jacob, Paul, Jiang, Albert Q., Khandelwal, Kartik, Lacroix, Timothée, Lample, Guillaume, Casas, Diego Las, Lavril, Thibaut, Scao, Teven Le, Lo, Andy, Marshall, William, Martin, Louis, Mensch, Arthur, Muddireddy, Pavankumar, Nemychnikova, Valera, Pellat, Marie, Von Platen, Patrick, Raghuraman, Nikhil, Rozière, Baptiste, Sablayrolles, Alexandre, Saulnier, Lucile, Sauvestre, Romain, Shang, Wendy, Soletskyi, Roman, Stewart, Lawrence, Stock, Pierre, Studnia, Joachim, Subramanian, Sandeep, Vaze, Sagar, Wang, Thomas, Yang, Sophia
We introduce Pixtral-12B, a 12--billion-parameter multimodal language model. Pixtral-12B is trained to understand both natural images and documents, achieving leading performance on various multimodal benchmarks, surpassing a number of larger models.
Externí odkaz:
http://arxiv.org/abs/2410.07073
Gathering histopathology slides from over 100 publicly available cohorts, we compile a diverse dataset of 460 million pathology tiles covering more than 30 cancer sites. Using this dataset, we train a large self-supervised vision transformer using DI
Externí odkaz:
http://arxiv.org/abs/2409.09173
In this paper we extend the construction of Giudici, Morgan and Zhou [arXiv:2110.07896] to give the first known examples of nonregular, $2$-closed permutation groups of rank greater than $4$ that are not the automorphism group of any digraph. We also
Externí odkaz:
http://arxiv.org/abs/2312.01303
Autor:
Liu, Xiwen, Katti, Keshava, He, Yunfei, Jacob, Paul, Richter, Claudia, Schroeder, Uwe, Kurinec, Santosh, Chaudhari, Pratik, Jariwala, Deep
To address the increasing computational demands of artificial intelligence (AI) and big data, compute-in-memory (CIM) integrates memory and processing units into the same physical location, reducing the time and energy overhead of the system. Despite
Externí odkaz:
http://arxiv.org/abs/2309.09165
As deep learning models are increasingly used in safety-critical applications, explainability and trustworthiness become major concerns. For simple images, such as low-resolution face portraits, synthesizing visual counterfactual explanations has rec
Externí odkaz:
http://arxiv.org/abs/2111.09094
Autor:
Justice, T. Elaine, Jacob, Paul B.
Publikováno v:
In Journal of Orthopaedics March 2024 49:102-106
Autor:
Liu, Xiwen, Katti, Keshava, He, Yunfei, Jacob, Paul, Richter, Claudia, Schroeder, Uwe, Kurinec, Santosh, Chaudhari, Pratik, Jariwala, Deep
Publikováno v:
In Device 16 February 2024 2(2)