Theodoros Damoulas

Physics-Informed Variational State-Space Gaussian Processes

2024 · arXiv (Cornell University)

Differential equations are important mechanistic models that are integral to many scientific and engineering applications. With the abundance of available data there has been a growing interest in data-driven physics-informed models. Gaussian processes (GPs) are …

Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework

2025 · Warwick Research Archive Portal (University of Warwick)

We introduce FedGVI, a probabilistic Federated Learning (FL) framework that is robust to both prior and likelihood misspecification. FedGVI addresses limitations in both frequentist and Bayesian FL by providing unbiased predictions under model misspecification, with …