2 citations · 5 across the 6 of their papers we have counts for
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cs.NE2024★ 2 cited
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
Osvaldo M Velarde, Lucas C Parra
Conventional computer vision models rely on very deep, feedforward networks processing whole images and trained offline with extensive labeled data. In contrast, biological vision…
cs.LG2024★ 1 cited
The Role of Fibration Symmetries in Geometric Deep Learning
Osvaldo Velarde, Lucas Parra, Paolo Boldi +1
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific induct…
physics.med-ph2024★ 1 cited
Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection
Lukas Hirsch, Yu Huang, Hernan A. Makse +7
Women with an increased life-time risk of breast cancer undergo supplemental annual screening MRI. We propose to predict the risk of developing breast cancer within one year based…