We present a new PyTorch-based framework for neural network compression with fine-tuning named Neural Network Compression Framework (NNCF) (https://github.com/openvinotoolkit/nncf) . It leverages recent advances of various methods and implements some them, namely quantization, sparsity, filter pruning binarization. These allow producing more hardware-friendly models that can be efficiently run ...

Knowledge about the hidden factors that determine particular system dynamics is crucial for both explaining them and pursuing goal-directed interventions. Inferring these from time series data without supervision remains an open challenge. Here, we focus on spatiotemporal processes, including wave propagation weather dynamics, which assume universal causes (e.g. physics) apply throughout space ...