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pro vyhledávání: '"Pierre, André"'
Organic molecular crystals are ideally placed to become next-generation piezoelectric materials due to their diverse chemistries that can be used to engineer tailor-made solid-state assemblies. Using crystal engineering principles, and techniques suc
Externí odkaz:
http://arxiv.org/abs/2412.06449
Autor:
Isaieva, Karyna, Laprie, Yves, Turpault, Nicolas, Houssard, Alexis, Felblinger, Jacques, Vuissoz, Pierre-André
Publikováno v:
Applied Artificial Intelligence, 2020, 34 (14), pp.1115-1123
Tongue contour extraction from real-time magnetic resonance images is a nontrivial task due to the presence of artifacts manifesting in form of blurring or ghostly contours. In this work, we present results of automatic tongue delineation achieved by
Externí odkaz:
http://arxiv.org/abs/2412.04893
Autor:
Rodriguez, Juan, Jian, Xiangru, Panigrahi, Siba Smarak, Zhang, Tianyu, Feizi, Aarash, Puri, Abhay, Kalkunte, Akshay, Savard, François, Masry, Ahmed, Nayak, Shravan, Awal, Rabiul, Massoud, Mahsa, Abaskohi, Amirhossein, Li, Zichao, Wang, Suyuchen, Noël, Pierre-André, Richter, Mats Leon, Vadacchino, Saverio, Agarwal, Shubbam, Biswas, Sanket, Shanian, Sara, Zhang, Ying, Bolger, Noah, MacDonald, Kurt, Fauvel, Simon, Tejaswi, Sathwik, Sunkara, Srinivas, Monteiro, Joao, Dvijotham, Krishnamurthy DJ, Scholak, Torsten, Chapados, Nicolas, Kharagani, Sepideh, Hughes, Sean, Özsu, M., Reddy, Siva, Pedersoli, Marco, Bengio, Yoshua, Pal, Christopher, Laradji, Issam, Gella, Spandanna, Taslakian, Perouz, Vazquez, David, Rajeswar, Sai
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding workflows, extracting data from documents, and summarizing reports. Code generation tasks that require long-structured o
Externí odkaz:
http://arxiv.org/abs/2412.04626
Acoustic articulatory inversion is a major processing challenge, with a wide range of applications from speech synthesis to feedback systems for language learning and rehabilitation. In recent years, deep learning methods have been applied to the inv
Externí odkaz:
http://arxiv.org/abs/2411.02037
Autor:
Bolleman, Jerven, Emonet, Vincent, Altenhoff, Adrian, Bairoch, Amos, Blatter, Marie-Claude, Bridge, Alan, Duvaud, Severine, Gasteiger, Elisabeth, Kuznetsov, Dmitry, Moretti, Sebastien, Michel, Pierre-Andre, Morgat, Anne, Pagni, Marco, Redaschi, Nicole, Zahn-Zabal, Monique, de Farias, Tarcisio Mendes, Sima, Ana Claudia
Background. In the last decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate interoperability. Knowledge graphs have seen increased adoption in bio
Externí odkaz:
http://arxiv.org/abs/2410.06010
We consider an infinite-dimension SIS model introduced by Delmas, Dronnier and Zitt, with a more general incidence rate, and study its equilibria. Unsurprisingly, there exists at least one endemic equilibrium if and only if the basic reproduction num
Externí odkaz:
http://arxiv.org/abs/2408.00034
Autor:
Isaieva, Karyna, Leclère, Justine, Paillart, Guillaume, Drouot, Guillaume, Felblinger, Jacques, Dubernard, Xavier, Vuissoz, Pierre-André
Computing the trajectories of mandibular condyles directly from MRI could provide a comprehensive examination, allowing for the extraction of both anatomical and kinematic details. This study aimed to investigate the feasibility of extracting 3D cond
Externí odkaz:
http://arxiv.org/abs/2406.14925
Autor:
Monteiro, Joao, Noel, Pierre-Andre, Marcotte, Etienne, Rajeswar, Sai, Zantedeschi, Valentina, Vazquez, David, Chapados, Nicolas, Pal, Christopher, Taslakian, Perouz
Large Language Models (LLMs) are trained on vast amounts of data, most of which is automatically scraped from the internet. This data includes encyclopedic documents that harbor a vast amount of general knowledge (e.g., Wikipedia) but also potentiall
Externí odkaz:
http://arxiv.org/abs/2406.11811
Autor:
Monteiro, João, Marcotte, Étienne, Noël, Pierre-André, Zantedeschi, Valentina, Vázquez, David, Chapados, Nicolas, Pal, Christopher, Taslakian, Perouz
In-context learning (ICL) approaches typically leverage prompting to condition decoder-only language model generation on reference information. Just-in-time processing of a context is inefficient due to the quadratic cost of self-attention operations
Externí odkaz:
http://arxiv.org/abs/2404.15420
We discuss transformations on matrices that preserve the effective spectrum and/or the effective spectral radius.
Comment: arXiv admin note: text overlap with arXiv:2103.10330
Comment: arXiv admin note: text overlap with arXiv:2103.10330
Externí odkaz:
http://arxiv.org/abs/2406.12857