Zobrazeno 1 - 10
of 44 216
pro vyhledávání: '"Fortin, A"'
Autor:
Agostini, Andrea, Chopard, Daphné, Meng, Yang, Fortin, Norbert, Shahbaba, Babak, Mandt, Stephan, Sutter, Thomas M., Vogt, Julia E.
Multimodal data integration and label scarcity pose significant challenges for machine learning in medical settings. To address these issues, we conduct an in-depth evaluation of the newly proposed Multimodal Variational Mixture-of-Experts (MMVM) VAE
Externí odkaz:
http://arxiv.org/abs/2411.10356
Autor:
Fortin, Francis, Atteia, Jean-Luc, de la Flèche, Alix Nouvel, Valentin, Hervé, Boulade, Olivier, Corre, David, Turpin, Damien, Secroun, Aurélia, Basa, Stéphane, Dolon, François, Floriot, Johan, Lombardo, Simona, Borgne, Jean-François Le, Watson, Alan M., Lee, William H.
Context. Transient sky astronomy is entering a new era with the advent of the SVOM mission (Space Variable Objects Monitor), which was successfully launched on the 26th of June, 2024. The primary goal of SVOM is to monitor the hard X-ray sky searchin
Externí odkaz:
http://arxiv.org/abs/2410.16979
Autor:
Fortin, Jean-Michel, Gamache, Olivier, Fecteau, William, Daum, Effie, Larrivée-Hardy, William, Pomerleau, François, Giguère, Philippe
Terrain awareness is an essential milestone to enable truly autonomous off-road navigation. Accurately predicting terrain characteristics allows optimizing a vehicle's path against potential hazards. Recent methods use deep neural networks to predict
Externí odkaz:
http://arxiv.org/abs/2409.18253
We explicitly solve a recurrence relation due to Feigin and Fuchs to obtain the Casimirs of the Virasoro algebra in terms of the inverse of the Shapovalov form. Combined with our recent result for the inverse Shapovalov form, this allows us to write
Externí odkaz:
http://arxiv.org/abs/2409.18172
Autor:
Piancastelli, Luiza S. C., Barreto-Souza, Wagner, Fortin, Norbert J., Cooper, Keiland W., Ombao, Hernando
This paper is motivated by studies in neuroscience experiments to understand interactions between nodes in a brain network using different types of data modalities that capture different distinct facets of brain activity. To assess Granger-causality,
Externí odkaz:
http://arxiv.org/abs/2409.17751
Autor:
Houballah, Mojtaba, Courtonne, Jean-Yves, Cuny, Henri, Colin, Antoine, Fortin, Mathieu, Pichancourt, Jean-Baptiste, Colin, Francis
Context: Over the last decade, the forestry sector has undergone substantial changes, evolving from a post-2008 financial crisis landscape to incorporating policies favoring sustainable and green alternatives, especially after the 2015 Paris agreemen
Externí odkaz:
http://arxiv.org/abs/2410.07195
In this work, we introduce an explicit expression for the inverse of the symmetric bilinear form of Virasoro Verma modules, the so-called Shapovalov form, in terms of singular vector operators and their conformal dimensions. Our proposed expression a
Externí odkaz:
http://arxiv.org/abs/2409.12224
The Increasing Population Covariance Matrix Adaptation Evolution Strategy (IPOP-CMA-ES) algorithm is a reference stochastic optimizer dedicated to blackbox optimization, where no prior knowledge about the underlying problem structure is available. Th
Externí odkaz:
http://arxiv.org/abs/2409.11765
Autor:
Graët, Jean Le, Secroun, Aurélia, Tourneur-Silvain, Marie, Kajfasz, Éric, Atteia, Jean-Luc, Boulade, Olivier, de la Flèche, Alix Nouvel, Geoffray, Hervé, Gillard, William, Escoffier, Stéphanie, Fortin, Francis, Fourmanoit, Nicolas, Kermiche, Smaïn, Valentin, Hervé, Zoubian, Julien
Publikováno v:
Proceedings Volume 13103, X-Ray, Optical, and Infrared Detectors for Astronomy XI; 131031W (2024)
With the expanding integration of infrared instruments in astronomical missions, accurate per-pixel flux estimation for near-infrared hybrid detectors has become critical to the success of these missions. Based on CPPM's involvement in both SVOM/Coli
Externí odkaz:
http://arxiv.org/abs/2409.03374
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data
Detecting dynamic patterns of task-specific responses shared across heterogeneous datasets is an essential and challenging problem in many scientific applications in medical science and neuroscience. In our motivating example of rodent electrophysiol
Externí odkaz:
http://arxiv.org/abs/2407.00099