Asia
StatisticalRegenerationGuaranteesofthe WassersteinAutoencoderwithLatentSpace Consistency
To close this gap, in this paper, we investigate the statistical properties of WAE.
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning
Federated learning (FL) is a machine learning paradigm where multiple client devices train models collaboratively without data exchange.
RelaxingLocalRobustness
Certifiablelocalrobustness,which rigorouslyprecludes small-normadversarial examples, has received significant attention as a means of addressing security concerns in deep learning.
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero engine design.
