| 2025 | UAI | Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles. | Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara |
| 2023 | UAI | Residual-based error bound for physics-informed neural networks. | Shuheng Liu, Xiyue Huang, Pavlos Protopapas |
| 2022 | IJCNN | Encoding Involutory Invariances in Neural Networks. | Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas |
| 2022 | IJCNN | Physics-Informed Neural Networks for Quantum Eigenvalue Problems. | Henry Jin, Marios Mattheakis, Pavlos Protopapas |
| 2020 | ECCV | MPCC: Matching Priors and Conditionals for Clustering. | Nicols Astorga, Pablo Huijse, Pavlos Protopapas, Pablo A. Estvez |
| 2019 | SDM | A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. | Beln Saldas-Fuentes, Pavlos Protopapas, Karim Pichara B. |
| 2018 | EDM | Modeling the Effects of Students' Interactions with Immersive Simulations using Markov Switching Systems. | Nicholas Hoernle, Ya'akov Gal, Barbara J. Grosz, Pavlos Protopapas, Andee Rubin |
| 2018 | IJCNN | Efficient Optimization of Echo State Networks for Time Series Datasets. | Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas |
| 2016 | ICDM | Optimizing the Multiclass F-Measure via Biconcave Programming. | Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy |
| 2016 | SDM | Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice. | Xide Xia, Pavlos Protopapas, Finale Doshi-Velez |
| 2010 | IJCNN | Period detection in light curves from astronomical objects using correntropy. | Pablo A. Estvez, Pablo Huijse, Pablo Zegers, Jos C. Prncipe, Pavlos Protopapas |
| 2009 | SDM | Event Discovery in Time Series. | Dan Preston, Pavlos Protopapas, Carla E. Brodley |