Paper Group AWR 5
April 3, 2020
Gryffin: An algorithm for Bayesian optimization for categorical variables informed by physical intuition with applications to chemistry. Training Binary Neural Networks with Real-to-Binary Convolutions. ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. TACO: Trash Annotations in …