Zobrazeno 1 - 10
of 7 303
pro vyhledávání: '"Vogels, A."'
Autor:
Lappe, Alexander, Bognár, Anna, Nejad, Ghazaleh Ghamkhari, Mukovskiy, Albert, Martini, Lucas, Giese, Martin A., Vogels, Rufin
High-level visual brain regions contain subareas in which neurons appear to respond more strongly to examples of a particular semantic category, like faces or bodies, rather than objects. However, recent work has shown that while this finding holds o
Externí odkaz:
http://arxiv.org/abs/2405.09827
Autor:
Makkuva, Ashok Vardhan, Bondaschi, Marco, Vogels, Thijs, Jaggi, Martin, Kim, Hyeji, Gastpar, Michael C.
Data-parallel SGD is the de facto algorithm for distributed optimization, especially for large scale machine learning. Despite its merits, communication bottleneck is one of its persistent issues. Most compression schemes to alleviate this either ass
Externí odkaz:
http://arxiv.org/abs/2310.13033
Autor:
Swamy, Vinitra, Satayeva, Malika, Frej, Jibril, Bossy, Thierry, Vogels, Thijs, Jaggi, Martin, Käser, Tanja, Hartley, Mary-Anne
Predicting multiple real-world tasks in a single model often requires a particularly diverse feature space. Multimodal (MM) models aim to extract the synergistic predictive potential of multiple data types to create a shared feature space with aligne
Externí odkaz:
http://arxiv.org/abs/2309.14118
Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional dependency network is known as structure learning. Bayesian methods can me
Externí odkaz:
http://arxiv.org/abs/2307.02603
Bayesian methods for learning Gaussian graphical models offer a comprehensive framework that addresses model uncertainty and incorporates prior knowledge. Despite their theoretical strengths, the applicability of Bayesian methods is often constrained
Externí odkaz:
http://arxiv.org/abs/2307.00127
In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers
Externí odkaz:
http://arxiv.org/abs/2301.02151
Autor:
Chantal B. F. Vogels, Verity Hill, Mallery I. Breban, Chrispin Chaguza, Lauren M. Paul, Afeez Sodeinde, Emma Taylor-Salmon, Isabel M. Ott, Mary E. Petrone, Dennis Dijk, Marcel Jonges, Matthijs R. A. Welkers, Timothy Locksmith, Yibo Dong, Namratha Tarigopula, Omer Tekin, Sarah Schmedes, Sylvia Bunch, Natalia Cano, Rayah Jaber, Charles Panzera, Ian Stryker, Julieta Vergara, Rebecca Zimler, Edgar Kopp, Lea Heberlein, Kaylee S. Herzog, Joseph R. Fauver, Andrea M. Morrison, Scott F. Michael, Nathan D. Grubaugh
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background The increasing burden of dengue virus on public health due to more explosive and frequent outbreaks highlights the need for improved surveillance and control. Genomic surveillance of dengue virus not only provides important insigh
Externí odkaz:
https://doaj.org/article/1af980f200d84d65af53b571a0012c8e
Autor:
Emma Taylor-Salmon, Verity Hill, Lauren M. Paul, Robert T. Koch, Mallery I. Breban, Chrispin Chaguza, Afeez Sodeinde, Joshua L. Warren, Sylvia Bunch, Natalia Cano, Marshall Cone, Sarah Eysoldt, Alezaundra Garcia, Nicadia Gilles, Andrew Hagy, Lea Heberlein, Rayah Jaber, Elizabeth Kassens, Pamela Colarusso, Amanda Davis, Samantha Baudin, Edhelene Rico, Álvaro Mejía-Echeverri, Blake Scott, Danielle Stanek, Rebecca Zimler, Jorge L. Muñoz-Jordán, Gilberto A. Santiago, Laura E. Adams, Gabriela Paz-Bailey, Melanie Spillane, Volha Katebi, Robert Paulino-Ramírez, Sayira Mueses, Armando Peguero, Nelissa Sánchez, Francesca F. Norman, Juan-Carlos Galán, Ralph Huits, Davidson H. Hamer, Chantal B. F. Vogels, Andrea Morrison, Scott F. Michael, Nathan D. Grubaugh
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Dengue is the most prevalent mosquito-borne viral disease in humans, and cases are continuing to rise globally. In particular, islands in the Caribbean have experienced more frequent outbreaks, and all four dengue virus (DENV) serotypes have
Externí odkaz:
https://doaj.org/article/2699a83fec1e4071836f2a480d632fd6
Data-driven Clinical Decision Support Systems (CDSS) have the potential to improve and standardise care with personalised probabilistic guidance. However, the size of data required necessitates collaborative learning from analogous CDSS's, which are
Externí odkaz:
http://arxiv.org/abs/2211.06637
Autor:
R. Tobias Koch, Diana Erazo, Arran J. Folly, Nicholas Johnson, Simon Dellicour, Nathan D. Grubaugh, Chantal B.F. Vogels
Publikováno v:
One Health, Vol 18, Iss , Pp 100664- (2024)
West Nile virus is one of the most widespread mosquito-borne zoonotic viruses, with unique transmission dynamics in various parts of the world. Genomic surveillance has provided important insights in the global patterns of West Nile virus emergence a
Externí odkaz:
https://doaj.org/article/8e5eeb7bc30a4ec5b084a02992a0c5e9