Collection of inference methods to go from arbitrary summary statistics (neural network, peaks, power spectrum, ...) to posterior parameter constraints. Inference and neural density estimation methods ...
@article{JEAN2026109337, title = {An image-based deep learning framework for flow field prediction in arbitrary-sized fibrous microstructures}, journal = {Composites Part A: Applied Science and ...
Abstract: We introduce a statistical inference framework for maximum likelihood estimation of the contagion source from a partially observed contagion spreading process on an arbitrary network ...
Abstract: Existing arbitrary-scale super-resolution (ASSR) methods suffer from quadratic computational complexity w.r.t. image scale due to the reliance on multi-layer perceptrons (MLPs) to query ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results