PP
Pavlos Protopapas
cs.LGastro-ph.IMastro-ph.SRphysics.comp-phstat.MLastro-ph.EPcs.AIastro-ph.COnucl-thastro-ph
On Valency
published · living versionsW_9ayhsvg2·v1 · currentpublished
Detection of Time Lags Between Quasar Continuum Emission Bands based on Pan-STARRS Light-curves
with Yan-Fei Jiang, Paul J. Green, Jenny E. Greene, Eric Morganson +19
1 version
W_2zzu5g8t·v1published
W_ussxyjux·v1published
Preprints & journals
148 papers in the corpus · 1993–2026Low Residuals, Wrong Value: Learning the Viscosity Solution of Hamilton-Jacobi-Isaacs Equations with PINNs2610.27193v1 · Raul Jimenez, Pablo Tejerina-P'erez, Leonid Sarieddine et al.2026 · 0 citationsarXiv
Local Citation Recommendation Without Graph Signals2610.15832v1 · Benjamin Basseri, Pavlos Protopapas, Kemeng Zhang et al.2026 · 0 citationsarXiv
Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices2609.11628v1 · J. Gallego, P. Protopapas, A. Bustos et al.2026 · 0 citationsarXiv
On the performance of pre-trained vision transformers for supernova spectral classification using different spectral representations2608.21520v1 · J. Serrano Bell, P. G'alvez Molina, V. Contreras Rojas et al.2026 · 0 citationsarXiv
Variational Boosting for Physics-Informed Neural Networks2607.23940v2 · Kaylee Vo, Pavlos Protopapas2026 · 0 citationsarXiv
AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model2607.19640v1 · Benedict L. Rouse, Franz E. Bauer, Tomasz R'oża'nski et al.2026 · 0 citationsarXiv
Physics-Informed Neural Embeddings of PDE Solution Families2607.06348v1 · Raul Jimenez, Svitlana Mayboroda, Pavlos Protopapas et al.2026 · 0 citationsarXiv
Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua2606.30117v1 · Raul Jimenez, David Mateos, Pavlos Protopapas et al.2026 · 0 citationsarXiv
Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning2606.28603v1 · Angelo Ricarte, Erandi Chavez, Franc O et al.2026 · 0 citationsarXiv
The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning2606.19329v2 · V. Samuel P'erez-D'iaz, Vinay L. Kashyap, Joshua D. Ingram et al.2026 · 0 citationsV. Samuel P\'erez-D\'iaz et al 2026 ApJ 1009 115
Gradient Scaling Effects in Adaptive Spectral PINNs for Stiff Nonlinear ODEs2605.04502v1 · Isabela M. Yepes, Pavlos Protopapas2026 · 0 citationsarXiv
Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations2605.01634v1 · Yiqi Rao, Pavlos Protopapas2026 · 0 citationsarXiv
Learning embeddings of non-linear PDEs: the Burgers' equation2603.07812v1 · Pedro Taranc'on-'Alvarez, Leonid Sarieddine, Pavlos Protopapas et al.2026 · 0 citationsarXiv
PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems2601.12093v1 · Duarte Alexandrino, Ben Moseley, Pavlos Protopapas2026 · 0 citationsarXiv
Improving Router Security using BERT2601.00783v1 · John Carter, Spiros Mancoridis, Pavlos Protopapas et al.2026 · 0 citationsarXiv
One-Shot Transfer Learning for Nonlinear PDEs with Perturbative PINNs2511.11137v1 · Samuel Auroy, Pavlos Protopapas2025 · 0 citationsarXiv
The Denario project: Deep knowledge AI agents for scientific discovery2510.26887v1 · Francisco Villaescusa-Navarro, Boris Bolliet, Pablo Villanueva-Domingo et al.2025 · 1 citationPRX Intelligence 1, 021001 (2026)
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings2509.24134v1 · Antony Tan, Pavlos Protopapas, Martina C'adiz-Leyton et al.2025 · 0 citationsarXiv
Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networks2508.08443v1 · Luca Gomez Bachar, Augusto T. Chantada, Susana J. Landau et al.2025 · 1 citationarXiv
ABC-SN: Attention Based Classifier for Supernova Spectra2507.22106v3 · Willow Fox Fortino, Federica B. Bianco, Pavlos Protopapas et al.2025 · 3 citationsApJ 1000 14 (2026)
Astro-MoE: Mixture of Experts for Multiband Astronomical Time Series2507.12611v1 · Martina C'adiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas et al.2025 · 0 citationsarXiv
Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer2507.11711v1 · Daniel Moreno-Cartagena, Guillermo Cabrera-Vives, Alejandra M. Munoz Arancibia et al.2025 · 0 citationsarXiv
Multivariate time series transformer embeddings for light curves of periodic variable stars2506.11637v2 · Gabriel Chiong, Ignacio Becker, Pavlos Protopapas2025 · 1 citationAstronomy & Astrophysics, 712, A168 (2026)
Applying Vision Transformers on Spectral Analysis of Astronomical Objects2506.00294v1 · Luis Felipe Strano Moraes, Ignacio Becker, Pavlos Protopapas et al.2025 · 2 citationsA&A 709, A122 (2026)
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles2505.06459v2 · Pablo Flores, Olga Graf, Pavlos Protopapas et al.2025 · 1 citationarXiv
Parameter Inference of Black Hole Images using Deep Learning in Visibility Space2504.21840v1 · Franc O, Pavlos Protopapas, Dominic W. Pesce et al.2025 · 1 citationMon Not R Astron Soc (2025)
Leveraging pre-trained vision Transformers for multi-band photometric light curve classification2502.20479v4 · Daniel Moreno-Cartagena, Pavlos Protopapas, Guillermo Cabrera-Vives et al.2025 · 3 citationsA&A 703, A41 (2025)
Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks2502.12177v1 · Shuheng Liu, Pavlos Protopapas, David Sondak et al.2025 · 1 citationarXiv
Stiff Transfer Learning for Physics-Informed Neural Networks2501.17281v1 · Emilien Seiler, Wanzhou Lei, Pavlos Protopapas2025 · 1 citationarXiv
Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space2501.12116v2 · Pedro Taranc'on-'Alvarez, Pablo Tejerina-P'erez, Raul Jimenez et al.2025 · 5 citationsCommun Phys 8, 335 (2025)
Multiband Embeddings of Light Curves2501.12499v2 · I. Becker, P. Protopapas, M. Catelan et al.2025 · 5 citationsarXiv
Uncertainty estimation for time series classification: Exploring predictive uncertainty in transformer-based models for variable stars2412.10528v1 · Martina C'adiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas et al.2024 · 5 citationsA&A 699, A168 (2025)
Exact and approximate error bounds for physics-informed neural networks2411.13848v1 · Augusto T. Chantada, Pavlos Protopapas, Luca Gomez Bachar et al.2024 · 0 citationsarXiv
Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances2411.01363v1 · Martina C'adiz-Leyton, Guillermo Cabrera-Vives, Pavlos Protopapas et al.2024 · 1 citationarXiv
Gravitational Duals from Equations of State2403.14763v1 · Yago Bea, Raul Jimenez, David Mateos et al.2024 · 15 citationsarXiv
Generating Images of the M87* Black Hole Using GANs2312.01005v1 · Arya Mohan, Pavlos Protopapas, Keerthi Kunnumkai et al.2023 · 6 citationsarXiv
Faster Bayesian inference with neural network bundles and new results for models2311.15955v2 · Augusto T. Chantada, Susana J. Landau, Pavlos Protopapas et al.2023 · 6 citationsPhys. Rev. D 109, 123514 (2024)
One-Shot Transfer Learning for Nonlinear ODEs2311.14931v1 · Wanzhou Lei, Pavlos Protopapas, Joy Parikh2023 · 1 citationarXiv
Positional Encodings for Light Curve Transformers: Playing with Positions and Attention2308.06404v1 · Daniel Moreno-Cartagena, Guillermo Cabrera-Vives, Pavlos Protopapas et al.2023 · 3 citationsIn Proceedings of the 40th International Conference on Machine Learning (ICML), Workshop on Machine Learning for Astrophysics, PMLR 202, 2023, Honolulu, Hawaii, USA
Residual-based error bound for physics-informed neural networks2306.03786v1 · Shuheng Liu, Xiyue Huang, Pavlos Protopapas2023 · 1 citationarXiv
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks2212.06965v1 · Olga Graf, Pablo Flores, Pavlos Protopapas et al.2022 · 2 citationsarXiv
Improving astroBERT using Semantic Textual Similarity2212.00744v1 · Felix Grezes, Thomas Allen, Sergi Blanco-Cuaresma et al.2022 · 4 citationsarXiv
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows2211.00214v1 · Raphael Pellegrin, Blake Bullwinkel, Marios Mattheakis et al.2022 · 4 citationsarXiv
Semi-Supervised Classification and Clustering Analysis for Variable Stars2209.09957v1 · R. Pantoja, M. Catelan, K. Pichara et al.2022 · 10 citationsarXiv
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks2209.07081v1 · Blake Bullwinkel, Dylan Randle, Pavlos Protopapas et al.2022 · 6 citationsarXiv
RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization2207.05870v1 · Hayden Joy, Marios Mattheakis, Pavlos Protopapas2022 · 4 citationsarXiv
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems2207.01114v1 · Shuheng Liu, Xiyue Huang, Pavlos Protopapas2022 · 0 citationsarXiv
Hamiltonian neural networks for solving equations of motion.35854562 · Mattheakis, Marios, Sondak, David, Dogra, Akshunna S et al.2022 · 117 citationsPhysical review. E. 2022;105(6-2):065305
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks2205.06758v1 · Germ'an Garc'ia-Jara, Pavlos Protopapas, Pablo A. Est'evez2022 · 28 citationsarXiv
Cosmology-informed neural networks to solve the background dynamics of the Universe2205.02945v3 · Augusto T. Chantada, Susana J. Landau, Pavlos Protopapas et al.2022 · 16 citationsPhys. Rev. D 107, 063523 (2023)
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