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Phaedon‐Stelios Koutsourelakis

Technical University of Munich

25H指数
117论文数
3.4K被引数
收录论文 39
发表时间
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Embedded model form uncertainty quantification with measurement noise for Bayesian model calibration嵌入式模型形式不确定性量化与测量噪声下的贝叶斯模型校准
errData-Centric Engineering
IF2.8
err2026-01-01
err0
PREAI
errArcones, Daniel Andres; Weiser, Martin; Koutsourelakis, Phaedon-Stelios; Unger, Jorg F.
err分享
err收藏
Design-GenNO: A physics-informed generative model with neural operators for inverse microstructure designDesign-GenNO：一种基于神经算子且融合物理信息的生成模型，用于逆向微观结构设计
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-12-06
err0
errOAAI
errYaohua Zang; Phaedon-Stelios Koutsourelakis
err分享
err收藏
DGenNO: a novel physics-aware neural operator for solving forward and inverse PDE problems based on deep, generative probabilistic modelingDGenNO：一种基于深度生成概率建模的新型物理感知神经网络算子，用于求解正演和反演偏微分方程问题
errJournal of Computational Physics
IF3.8
err2025-06-13
err0
errOAAI
errYaohua Zang; Phaedon-Stelios Koutsourelakis
err分享
err收藏
Stochastic black-box optimization using multi-fidelity score function estimator
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2025-01-31
err0
errOAAI
errAgrawal, Atul; Ravi, Kislaya; Koutsourelakis, Phaedon-Stelios; Bungartz, Hans-Joachim
err分享
err收藏
Weak neural variational inference for solving Bayesian inverse problems without forward models: Applications in elastography在没有前向模型的情况下解决贝叶斯逆问题的弱神经变分推理: 在弹性成像中的应用
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2025-01-01
err0
errOAAI
errScholz, Vincent C.; Zang, Yaohua; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
PSP-GEN: Stochastic inversion of the Process-Structure-Property chain in materials design through deep, generative probabilistic modelingPsp-gen: 通过深度生成概率建模对材料设计中的过程-结构-属性链进行随机反演
errACTA MATERIALIA
IF9.3
err2025-01-01
err0
errOAAI
errZang, Yaohua; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-12-01
err0
errOAAI
errChatzopoulos, Matthaios; Koutsourelakis, Phaedon-Stelios
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err收藏
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-07-01
err5
errOAAI
errAgrawal, Atul; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
Application of Machine Learning Algorithms to Metadynamics for the Elucidation of the Binding Modes and Free Energy Landscape of Drug/Target Interactions: a Case Study
errCHEMISTRY-A EUROPEAN JOURNAL
IF3.7
err2023-09-28
err4
errOAAI
errSiddiqui, Gohar Ali; Stebani, Julia A.; Wragg, Darren; Koutsourelakis, Phaedon-Stelios; Casini, Angela; Gagliardi, Alessio
err分享
err收藏
Semi-supervised invertible neural operators for Bayesian inverse problems
errCOMPUTATIONAL MECHANICS
IF3.8
err2023-03-30
err9
errOAAI
errKaltenbach, Sebastian; Perdikaris, Paris; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations复杂物理模拟中多保真度不确定性量化的广义概率学习方法
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-10-01
err8
errOAAI
errNitzler, Jonas; Biehler, Jonas; Fehn, Niklas; Koutsourelakis, Phaedon-Stelios; Wall, Wolfgang A.
err分享
err收藏
Bayesian inference for random field parameters with a goal-oriented quality control of the PGD forward model's accuracy
errCOMPUTATIONAL MECHANICS
IF3.8
err2022-08-18
err5
errOAAI
errLima, Isabela Coelho; Robens-Radermacher, Annika; Titscher, Thomas; Kadoke, Daniel; Koutsourelakis, Phaedon-Stelios; Unger, Jorg F.
err分享
err收藏
Self-supervised optimization of random material microstructures in the small-data regime
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-03-21
err9
errOAAI
errRixner, Maximilian; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables用于粗粒度代理的半监督训练和通过虚拟可观察量执行物理约束的概率生成模型
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-06-01
err8
errOAAI
errRixner, Maximilian; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2020-10-01
err20
errOAAI
errKaltenbach, Sebastian; Koutsourelakis, Phaedon-Stelios
err分享
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A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2019-11-01
err18
errOAAI
errGrigo, Constantin; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data用于高维代理建模和不确定性量化的物理约束深度学习，无需标记数据
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2019-10-01
err706
errOAAI
errZhu, Yinhao; Zabaras, Nicholas; Koutsourelakis, Phaedon-Stelios; Perdikaris, Paris
err分享
err收藏
Predictive collective variable discovery with deep Bayesian models
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2019-01-14
err28
errOAAI
errSchoeberl, Markus; Zabaras, Nicholas; Koutsourelakis, Phaedon-Stelios
err分享
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Predictive coarse-graining
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2017-03-01
err29
errOAAI
errSchoeberl, Markus; Zabaras, Nicholas; Koutsourelakis, Phaedon-Stelios
err分享
err收藏
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2017-01-01
err12
errOAAI
errFranck, I. M.; Koutsourelakis, P. S.
err分享
err收藏

研究方向

暂无研究方向
合作学者
合作期刊
A
Angela Casini
H 指数: 82 · 论文数: 716
W
Wolfgang A. Wall
H 指数: 66 · 论文数: 842
M
Mark Girolami
H 指数: 65 · 论文数: 459
M
Manolis Papadrakakis
H 指数: 52 · 论文数: 326
N
Nicholas Zabaras
H 指数: 52 · 论文数: 212
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