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@tmlr-pub.bsky.socialOct 5, 2026, 4:30 AM

New #TMLR-Paper-with-Video:

Multiscale Training of Convolutional Neural Networks

Shadab Ahamed, Niloufar Zakariaei, Eldad Haber, Moshe Eliasof

https://tmlr.infinite-conf.org/paper_pages/HTQuEZwEHw

#multiscale #cnn #cnns

Multiscale Training of Convolutional Neural Networks
@tmlr-pub.bsky.socialOct 3, 2026, 8:30 AM

New #TMLR-Paper-with-Video:

Explaining with trees: interpreting CNNs using hierarchies

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

https://tmlr.infinite-conf.org/paper_pages/zjyWZh5IiI

#cnns #interpretability #explanations

Explaining with trees: interpreting CNNs using hierarchies
@autopix.bsky.socialSep 24, 2026, 12:01 PM

Using AI models, including Convolutional Neural Networks (#CNNs), photographs of the hands can be processed to identify, isolate and measure finger folds. Changes in the shape, depth or dimensions of these folds may provide useful information about inflammation, swelling or disease progression.