PS
Panos Stinis
cs.LGcs.NAmath.NAphysics.comp-phphysics.chem-phstat.MLphysics.flu-dyncs.AIcs.NEmath.AP
On Valency
published · living versionsW_9rkpaeju·v1 · currentpublished
In-Context Learning for Multi-Fidelity Multiscale Model Closure and Cross-Operator Out-Of-Distribution Generalization
with Xinyuan Li, Matthew Zahr, Zecheng Zhang
1 version
Preprints & journals
74 papers in the corpus · 2007–2026From Classification to Regression: Using a Fruitfly to Solve Equations2607.27196v1 · Shady E. Ahmed, Panos Stinis2026 · 0 citationsarXiv
An adaptive phase field framework for large-scale interface evolution problems using a strong-form gradient smoothing approach2607.25142v1 · Zirui Mao, Alice Xu, Shenyang Hu et al.2026 · 0 citationsarXiv
Mamba-Assisted Non-Markovian Closure for Reduced-Order Modeling2606.05371v2 · Zhi-Feng Wei, Saad Qadeer, Panos Stinis2026 · 0 citationsarXiv
Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows2606.09857v2 · Jice Zeng, Shady E. Ahmed, David Barajas-Solano et al.2026 · 0 citationsarXiv
Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv22604.21233v1 · Shady E. Ahmed, Hui Wan, Saad Qadeer et al.2026 · 0 citationsarXiv
SCORE: Statistical Certification of Regions of Attraction via Extreme Value Theory2603.29658v2 · Pietro Zanotta, Panos Stinis, J'an Drgona2026 · 0 citationsarXiv
SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks2603.18548v1 · Amanda A. Howard, Nicholas Zolman, Bruno Jacob et al.2026 · 0 citationsarXiv
Enhancing classification accuracy through chaos2603.15299v2 · Panos Stinis2026 · 0 citationsarXiv
Improving the accuracy of physics-informed neural networks via last-layer retraining2603.04672v2 · Saad Qadeer, Panos Stinis2026 · 0 citationsarXiv
ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning2602.11626v3 · Wenqian Chen, Zhi-Feng Wei, Yucheng Fu et al.2026 · 0 citationsarXiv
Bridging quantum and classical computing for partial differential equations through multifidelity machine learning2512.05241v1 · Bruno Jacob, Amanda A. Howard, Panos Stinis2025 · 0 citationsarXiv
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets2512.01888v1 · Adrienne M. Propp, Mauro Perego, Eric C. Cyr et al.2025 · 0 citationsarXiv
From LIF to QIF: Toward Differentiable Spiking Neurons for Scientific Machine Learning2511.06614v1 · Ruyin Wan, George Em Karniadakis, Panos Stinis2025 · 0 citationsarXiv
Self-adaptive weighting and sampling for physics-informed neural networks2511.05452v2 · Wenqian Chen, Amanda Howard, Panos Stinis2025 · 7 citationsarXiv
SpikePool: Event-driven Spiking Transformer with Pooling Attention2510.12102v1 · Donghyun Lee, Alex Sima, Yuhang Li et al.2025 · 0 citationsarXiv
Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks2509.01679v1 · Zhi-Feng Wei, Wenqian Chen, Panos Stinis2025 · 0 citationsarXiv
Physics-Informed DeepONet Coupled with FEM for Convective Transport in Porous Media with Sharp Gaussian Sources2508.19847v1 · Erdi Kara, Panos Stinis2025 · 0 citationsJournal of Computational Physics, 2026
Simulating Three-dimensional Turbulence with Physics-informed Neural Networks2507.08972v2 · Sifan Wang, Shyam Sankaran, Xiantao Fan et al.2025 · 1 citationarXiv
Stabilizing PDE--ML coupled systems2506.19274v3 · Saad Qadeer, Panos Stinis, Hui. Wan2025 · 1 citationarXiv
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning2504.15240v1 · Amirhossein Mollaali, Christian Bolivar Moya, Amanda A. Howard et al.2025 · 2 citationsarXiv
E-PINNs: Epistemic Physics-Informed Neural Networks2503.19333v2 · Bruno Jacob, Ashish S. Nair, Amanda A. Howard et al.2025 · 1 citationarXiv
Toward a Machine Learning Approach to Interpreting X-ray Spectra of Trace Impurities by Converting XANES to EXAFS.39718448 · Prange, Micah P, Govind, Niranjan, Stinis, Panos et al.2025 · 7 citationsThe journal of physical chemistry. A. 2025;129(1):346-355
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications2411.18459v1 · Emily Williams, Amanda Howard, Brek Meuris et al.2024 · 0 citationsarXiv
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks2411.06286v1 · Bruno Jacob, Amanda A. Howard, Panos Stinis2024 · 14 citationsarXiv
Multifidelity Kolmogorov-Arnold Networks2410.14764v1 · Amanda A. Howard, Bruno Jacob, Panos Stinis2024 · 7 citationsarXiv
Multiscale modeling framework of a constrained fluid with complex boundaries using twin neural networks2408.03263v1 · Peiyuan Gao, George Em Karniadakis, Panos Stinis2024 · 1 citationarXiv
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems2406.19662v2 · Amanda A. Howard, Bruno Jacob, Sarah Helfert et al.2024 · 18 citationsarXiv
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks2407.01613v2 · Wenqian Chen, Amanda A. Howard, Panos Stinis2024 · 42 citationsJ. Comput. Phys., 542 (2025) 114226
Scientific machine learning for closure models in multiscale problems: a review2403.02913v2 · Benjamin Sanderse, Panos Stinis, Romit Maulik et al.2024 · 41 citationsarXiv
Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding.38419664 · Kim, Youngeun, Kahana, Adar, Yin, Ruokai et al.2024 · 10 citationsFrontiers in neuroscience. 2024;18:1346805
Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems2401.07888v2 · Alexander Heinlein, Amanda A. Howard, Damien Beecroft et al.2024 · 9 citationsarXiv
Physics-Guided Continual Learning for Predicting Emerging Aqueous Organic Redox Flow Battery Material Performance2312.08481v2 · Yucheng Fu, Amanda Howard, Chao Zeng et al.2023 · 19 citationsarXiv
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks2311.06483v2 · Amanda A Howard, Sarah H Murphy, Shady E Ahmed et al.2023 · 12 citationsarXiv
Efficient kernel surrogates for neural network-based regression2310.18612v2 · Saad Qadeer, Andrew Engel, Amanda Howard et al.2023 · 1 citationarXiv
Exploring Learned Representations of Neural Networks with Principal Component Analysis2309.15328v1 · Amit Harlev, Andrew Engel, Panos Stinis et al.2023 · 0 citationsarXiv
Physics-informed machine learning of the correlation functions in bulk fluids2309.00767v1 · Wenqian Chen, Peiyuan Gao, Panos Stinis2023 · 13 citationsarXiv
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model2306.01010v2 · Wenqian Chen, Yucheng Fu, Panos Stinis2023 · 43 citationsarXiv
A multifidelity approach to continual learning for physical systems2304.03894v2 · Amanda Howard, Yucheng Fu, Panos Stinis2023 · 14 citationsarXiv
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations2303.11577v3 · Wenqian Chen, Panos Stinis2023 · 10 citationsarXiv
ViTO: Vision Transformer-Operator2303.08891v1 · Oded Ovadia, Adar Kahana, Panos Stinis et al.2023 · 57 citationsarXiv
A Multifidelity deep operator network approach to closure for multiscale systems2303.08893v2 · Shady E. Ahmed, Panos Stinis2023 · 18 citationsarXiv
SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics2302.03663v1 · Panos Stinis, Constantinos Daskalakis, Paul J. Atzberger2023 · 8 citationsarXiv
Machine-learning-based spectral methods for partial differential equations.36720936 · Meuris, Brek, Qadeer, Saad, Stinis, Panos2023 · 30 citationsScientific reports. 2023;13(1):1739
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling2301.11402v1 · QiZhi He, Mauro Perego, Amanda A. Howard et al.2023 · 21 citationsarXiv
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations2211.09928v1 · Qian Zhang, Adar Kahana, George Em Karniadakis et al.2022 · 8 citationsarXiv
Vibrational levels of a generalized Morse potential.36243526 · Qadeer, Saad, Santis, Garrett D, Stinis, Panos et al.2022 · 7 citationsThe Journal of chemical physics. 2022;157(14):144104
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems2204.09157v2 · Amanda A. Howard, Mauro Perego, George E. Karniadakis et al.2022 · 83 citationsarXiv
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery2203.01985v1 · QiZhi He, Yucheng Fu, Panos Stinis et al.2022 · 31 citationsarXiv
Machine-learning custom-made basis functions for partial differential equations2111.05307v1 · Brek Meuris, Saad Qadeer, Panos Stinis2021 · 1 citationarXiv
Optimal renormalization of multiscale systems.34497124 · Price, Jacob, Meuris, Brek, Shapiro, Madelyn et al.2021 · 5 citationsProceedings of the National Academy of Sciences of the United States of America. 2021;118(37)
Career total: at least 120 works. 74 are in this corpus.Showing the 50 most recent.
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