Stratis Markou

Practical Conditional Neural Processes Via Tractable Dependent Predictions

2022 · arXiv (Cornell University)

Conditional Neural Processes (CNPs; Garnelo et al., 2018a) are meta-learning models which leverage the flexibility of deep learning to produce well-calibrated predictions and naturally handle off-the-grid and missing data. CNPs scale to large datasets and …