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cs.LG2025★ 1 cited
How iteration order influences convergence and stability in deep learning
Benoit Dherin, Benny Avelin, Anders Karlsson +3
Despite exceptional achievements, training neural networks remains computationally expensive and is often plagued by instabilities that can degrade convergence. While learning rate…
cs.LG2021★ 1 cited
Deep limits and cut-off phenomena for neural networks
Benny Avelin, Anders Karlsson
We consider dynamical and geometrical aspects of deep learning. For many standard choices of layer maps we display semi-invariant metrics which quantify differences between data or…