Thermodynamics of ultrastrongly coupled light-matter systems. - Philipp Pilar; Daniele De Bernardis; Peter Rabl (Quantum, 2020)

Incorporating Sum Constraints into Multitask Gaussian Processes. - Philipp Pilar; Carl Jidling; Thomas B. Schön; Niklas Wahlström (Trans. Mach. Learn. Res., 2022)

Physics-informed neural networks with unknown measurement noise. - Philipp Pilar; Niklas Wahlström (L4DC, 2024)

Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks. - Philipp Pilar; Niklas Wahlström (Trans. Mach. Learn. Res., 2024)

Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks. - Philipp Pilar; Markus Heinonen; Niklas Wahlström (CoRR, 2025)