Energy
Appendix Supplementary Material
This also makes the outputs more amenable for training species classifiers on prediction crops, if species are known.
Nuclear Fusion Diamond Polishing Dataset
This measurement, however, is very labor-intensive, time-consuming, and requires a human operator.
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
This work was done during the internship at Microsoft Research Asia.
Sample-efficient Bayesian Optimisation Using Known Invariances Theodore Brown
Bayesian optimisation (BO) is a powerful framework for global optimisation of costly functions, using predictions from Gaussian process models (GPs).
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Juan Nathaniel
Y et, forecasting beyond the weather timescale is challenging because it deals with problems other than initial condition, including boundary interaction, butterfly effect, and our inherent lack of physical understanding.