8 citations · 14 across the 10 of their papers we have counts for
3 papers · 1 filter
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
Maria Panagiotou, Lorenzo Brigato, Vivien Streit +13
Despite recent advances in insulin preparations and technology, adjusting insulin remains an ongoing challenge for the majority of people with type 1 diabetes (T1D) and longstandin…
There are no Champions in Supervised Long-Term Time Series Forecasting
Lorenzo Brigato, Rafael Morand, Knut Strømmen +3
Recent advances in long-term time series forecasting have introduced numerous complex supervised prediction models that consistently outperform previously published architectures.…
Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation
Lorenzo Brigato, Stavroula Mougiakakou
We introduce Tune without Validation (Twin), a simple and effective pipeline for tuning learning rate and weight decay of homogeneous classifiers without validation sets, eliminati…