Protopapas, Pavlos

15 publications

UAI 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
NeurIPSW 2023 Generalized One-Shot Transfer Learning of Linear Ordinary and Partial Differential Equations Hari Raval, Pavlos Protopapas
NeurIPSW 2023 One-Shot Transfer Learning for Nonlinear ODEs Wanzhou Lei, Pavlos Protopapas, Joy Parikh
UAI 2023 Residual-Based Error Bound for Physics-Informed Neural Networks Shuheng Liu, Xiyue Huang, Pavlos Protopapas
NeurIPSW 2023 Two-Step Bayesian PINNs for Uncertainty Estimation Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
ICMLW 2022 DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel, Dylan Randle, Pavlos Protopapas, David Sondak
NeurIPSW 2022 Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems Shuheng Liu, Xiyue Huang, Pavlos Protopapas
ICMLW 2022 One-Shot Transfer Learning of Physics-Informed Neural Networks Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts
NeurIPSW 2021 Adversarial Sampling for Solving Differential Equations with Neural Networks Kshitij Parwani, Pavlos Protopapas
NeurIPSW 2021 Con$^{2}$DA: Simplifying Semi-Supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations Manuel Ignacio Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives
NeurIPSW 2021 Uncertainty Quantification in Neural Differential Equations Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
ECCV 2020 MPCC: Matching Priors and Conditionals for Clustering Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez
ECML-PKDD 2010 Shift-Invariant Grouped Multi-Task Learning for Gaussian Processes Yuyang Wang, Roni Khardon, Pavlos Protopapas
MLJ 2009 Finding Anomalous Periodic Time Series Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock
ECML-PKDD 2009 Kernels for Periodic Time Series Arising in Astronomy Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock