Zobrazeno 1 - 10
of 8 626
pro vyhledávání: '"Berthet A"'
Autor:
Lanctot, Marc, Larson, Kate, Kaisers, Michael, Berthet, Quentin, Gemp, Ian, Diaz, Manfred, Maura-Rivero, Roberto-Rafael, Bachrach, Yoram, Koop, Anna, Precup, Doina
A common way to drive progress of AI models and agents is to compare their performance on standardized benchmarks. Comparing the performance of general agents requires aggregating their individual performances across a potentially wide variety of dif
Externí odkaz:
http://arxiv.org/abs/2411.00119
Autor:
Jianu, Tudor, Huang, Baoru, Nguyen, Hoan, Bhattarai, Binod, Do, Tuong, Tjiputra, Erman, Tran, Quang, Berthet-Rayne, Pierre, Le, Ngan, Fichera, Sebastiano, Nguyen, Anh
Endovascular surgical tool reconstruction represents an important factor in advancing endovascular tool navigation, which is an important step in endovascular surgery. However, the lack of publicly available datasets significantly restricts the devel
Externí odkaz:
http://arxiv.org/abs/2410.22224
Autor:
Berthet, Pierre-Augustin
Due to developments in quantum computing, classical asymmetric cryptography is at risk of being breached. Consequently, new Post-Quantum Cryptography (PQC) primitives using lattices are studied. Another point of scrutiny is the resilience of these ne
Externí odkaz:
http://arxiv.org/abs/2409.16107
Autor:
Marion, Pierre, Korba, Anna, Bartlett, Peter, Blondel, Mathieu, De Bortoli, Valentin, Doucet, Arnaud, Llinares-López, Felipe, Paquette, Courtney, Berthet, Quentin
We present a new algorithm to optimize distributions defined implicitly by parameterized stochastic diffusions. Doing so allows us to modify the outcome distribution of sampling processes by optimizing over their parameters. We introduce a general fr
Externí odkaz:
http://arxiv.org/abs/2402.05468
Autor:
Liu, Tianlin, Guo, Shangmin, Bianco, Leonardo, Calandriello, Daniele, Berthet, Quentin, Llinares, Felipe, Hoffmann, Jessica, Dixon, Lucas, Valko, Michal, Blondel, Mathieu
Aligning language models with human preferences is crucial for reducing errors and biases in these models. Alignment techniques, such as reinforcement learning from human feedback (RLHF), are typically cast as optimizing a tradeoff between human pref
Externí odkaz:
http://arxiv.org/abs/2402.02992
Autor:
Jianu, Tudor, Huang, Baoru, Vo, Tuan, Vu, Minh Nhat, Kang, Jingxuan, Nguyen, Hoan, Omisore, Olatunji, Berthet-Rayne, Pierre, Fichera, Sebastiano, Nguyen, Anh
Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of closed-source simulators and physical phantoms. Additionally, the acquisiti
Externí odkaz:
http://arxiv.org/abs/2401.09059
Autor:
Berthet, Vincent
Boxing and MMA have a longstanding issue with judging, as evidenced by frequent controversial decisions. Like boxing, MMA bouts are scored following the 10-Point Must System, by which judges score each round individually. In the present study, we com
Externí odkaz:
http://arxiv.org/abs/2401.03280
Autor:
Berthet, Vincent
Mixed martial arts (MMA) has been one of the fastest-growing sports in recent years and has become a mainstream sport on the global stage. The growth of MMA has been driven by the Ultimate Fighting Championship (UFC), which is currently the largest M
Externí odkaz:
http://arxiv.org/abs/2312.11067
Endovascular navigation, essential for diagnosing and treating endovascular diseases, predominantly hinges on fluoroscopic images due to the constraints in sensory feedback. Current shape reconstruction techniques for endovascular intervention often
Externí odkaz:
http://arxiv.org/abs/2311.11209
Autor:
Camille Aucouturier, Nicolas Soirat, Laurent Castéra, Denis Bertrand, Alexandre Atkinson, Thibaut Lavolé, Nicolas Goardon, Céline Quesnelle, Julien Levilly, Sosthène Barbachou, Angelina Legros, Olivier Caron, Louise Crivelli, Philippe Denizeau, Pascaline Berthet, Agathe Ricou, Flavie Boulouard, Dominique Vaur, Sophie Krieger, Raphael Leman
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Solving the structure of mRNA transcripts is a major challenge for both research and molecular diagnostic purposes. Current approaches based on short-read RNA sequencing and RT-PCR techniques cannot fully explore the complexity of
Externí odkaz:
https://doaj.org/article/a050435307744b7baf273c3a085e00d7
