2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Large Learning Rates Improve Generalization: But How Large Are We Talking About?
Ekaterina Lobacheva, Eduard Pockonechnyy, Maxim Kodryan +1
Inspired by recent research that recommends starting neural networks training with large learning rates (LRs) to achieve the best generalization, we explore this hypothesis in deta…
eess.SP2021★ 2 cited
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova +4
Channel decoding, channel detection, channel assessment, and resource management for wireless multiple-input multiple-output (MIMO) systems are all examples of problems where machi…