Meetings/Workshops on Neural Networks and Artificial Intelligence, Machine Learning in Mexico
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Workshop — Learning in Networks: Performance Limits and Algorithms
15 Nov 2020 - 20 Nov 2020 • Oaxaca, Mexico
BIRS-affiliated mathematics research centre, Casa Matemática Oaxaca (CMO)
The focus of the workshop is on statistical learning, algorithms, information and computational limits, in large-scale networks. The overall objective of the workshop is to develop a better understanding of the information theoretic and computational barriers to making significant inferences from large-scale network data. The topics are organized into three interrelated areas, ranging from inference problems for single graphs, to inference involving two graphs, to classification of graphs from general families.
Geometry & Learning from Data
24 Oct 2021 - 29 Oct 2021 • Oaxaca, Mexico
Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada
The incredible advances in artificial intelligence applied to images need to be combined with geometric tools to be applied in higher dimensional data and for applications to 3D objects, such as those in Augmented Reality, Virtual Reality environments, data from sensors of self-driving cars, computational anatomy, and other domains of technological applications. In this workshop we will bring together experts from academia, government stakeholders, applied researchers from industry, as well as graduate students and early career scientist to interact and develop novel solutions that apply abstract tools from high dimensional geometry to contribute to the solution of these problems.
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Last updated: 08 July 2020