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Papers matching “high-dimensional parameters” 71

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Quantifying and Constraining Aerosol Forcing Uncertainty: From Single-Model to Multi-Model Perturbed Parameter Ensembles
2026 conference-abstract Environmental Science Atmospheric aerosols and clouds Open access

Hailing Jia, Duncan Watson‐Parris, David Neubauer, Yusuf Bhatti, Michael Schulz, Leighton A. Regayre, +15 more

0

citations
Differentiable Geomodeling: Opportunities and Challenges
2023 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Florian Wellmann, Miguel de la Varga, Zhouji Liang, Jian Yang

0

citations
The Application of Neural Operator in subsurface process simulation
2021 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Zhouji Liang, Denise Degen, Florian Wellmann

0

citations
Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean
2022 Atmospheric measurement techniques article Environmental Science Atmospheric aerosols and clouds Open access

Meng Gao, Kirk David Knobelspiesse, Bryan A. Franz, Peng‐Wang Zhai, A. M. Sayer, Amir I. Ibrahim, +6 more

21

citations
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models
2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

7

citations
The gamma-variate in contrast-enhanced imaging: a unified view and method from computed to electrical impedance tomography
2024 Physics in Medicine and Biology article Engineering Electrical and Bioimpedance Tomography Open access

Diogo Silva, Steffen K. Leonhardt

2

citations
Surrogate models in convection-dominated fault systems: considerations for efficient and reliable realizations
2026 Computational Geosciences article Physics and Astronomy Model Reduction and Neural Networks Open access

Thomas Simader, Denise Degen, Tobias Meier, Horst Rüter, Florian Wellmann

1

citations
Review
2022 peer-review Environmental Science Atmospheric aerosols and clouds Open access

0

citations
Comment on amt-2022-112
2022 peer-review Environmental Science Atmospheric aerosols and clouds Open access

0

citations
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

0

citations
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

0

citations
Comment on amt-2022-112
2022 peer-review Environmental Science Atmospheric aerosols and clouds Open access

Meng Gao, Kirk David Knobelspiesse, Bryan A. Franz, Peng‐Wang Zhai, A. M. Sayer, Amir Ibrahim, +6 more

0

citations
3D multi-physics uncertainty quantification using physics-based machine learning
2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Florian Wellmann

30

citations
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations
Order Reduction of a Nonlinear Convection-Dominated Model of Heart Valve Tissue Maturation
2022 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Kirsten VoB, Ahmed Elkhashap, Lorenz Dörschel, Maximilian P. Werner, Vytautas Kučikas, Marc A.M.J. van Zandvoort, +2 more

0

citations
DeepXS: fast approximation of MSSM electroweak cross sections at NLO
2020 The European Physical Journal C article Physics and Astronomy Particle physics theoretical and experimental studies Open access

Sydney Otten, Krzysztof Rolbiecki, S. Caron, Jong Soo Kim, Roberto Ruiz de Austri, Jamie Tattersall

0

citations
Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean, Part 1: performance evaluation and speed improvement
2022 preprint Environmental Science Atmospheric aerosols and clouds Open access

Meng Gao, Kirk David Knobelspiesse, Bryan A. Franz, Peng‐Wang Zhai, A. M. Sayer, Amir I. Ibrahim, +6 more

0

citations
Probabilistic pathway-based multimodal factor analysis
2024 Bioinformatics article Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access

Alexander Immer, Stefan G. Stark, Francis Jacob, Ximena Bonilla, André Kahles, Sandra Goetze, +85 more

0

citations
Uncertainty quantification for learned ISTA
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut

0

citations
Variational quantum generative modeling by sampling expectation values of tunable observables
2025 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang

0

citations
Multi-Objective Lookahead Bayesian Optimization for Process Parameter Optimization in Non-Isothermal Glass Molding
2025 Procedia CIRP article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hendrik Mende, Lukas Jäschke, Gustavo Schewinski, Dennis Grunert, Robert Heinrich Schmitt

0

citations