Sort by
Refine Your Search
-
. Although this approach has been successful, other approaches that do not discard part of the samples can also be considered. For example, by using tensor versions of principal component analysis [DEL00
-
. Latouche and D. Liang, Clustering by Deep Latent Position Model with Graph Convolutional Network, Advances in Data Analysis and Classification, in press, 2024 - C. Bouveyron, M. Corneli and G. Marchello, A
-
), pp. 11-31, 2017 - C. Bouveyron, M. Corneli, P. Latouche and D. Liang, Clustering by Deep Latent Position Model with Graph Convolutional Network, Advances in Data Analysis and Classification, in press
-
such as principal component analysis (PCA) [2] as well as new types of attacks like link stealing attacks [3] whereby the protected information is not just a dataset but has more complex structure (such as
-
-based learning or reinforcement learning, gradients are either unavailable or unreliable. In such contexts, zeroth-order (blackbox) optimization becomes essential. Blackbox methods, such as finite
-
for millions of elements Traditional methods based on Delaunay triangulation (3D mesh generation, 3D alpha wrapping) typically strive to achieve high geometric accuracy and high-quality elements. While
-
Josse. Estimation and imputation in probabilistic principal component analysis with missing not at random data. NeurIPS, 2020 Daniel J Stekhoven and Peter Buhlmann. Missforest—non-parametric missing value
-
Research axis of the 3IA: Axis 1: Core elements of AI (main axis) Axis 4: AI for Smart and Secure Territories (secondary axis) Supervisor (name, affiliation, email): Elena CABRIO (Université Côte
-
computational modeling and/or analysis of complex biological systems, integrating state of the art tools such as machine and deep learning approaches. Experience in managing biological databases and statistical
-
, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with