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Papers matching “reduced dimensionality” 97

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Reduced Order Model Predictive Control for Parametrized Parabolic Partial Differential Equations
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Saskia Dietze, Martin Grepl

0

citations
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol with a Mass-Conserving Dimensionality Reduction Method
2022 preprint Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Patrick Obin Sturm, Astrid Manders, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin

3

citations
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Clément Scherding, Denis Sipp, Peter J. Schmid, Taraneh Sayadi

3

citations
Penalized reduced rank regression for multi-outcome survival data supports a common metabolic risk score for age-related diseases
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Statistical Methods and Inference Open access

Marije H. Sluiskes, Hein Putter, Marian Beekman, Jelle J. Goeman, Mar Rodríguez‐Girondo

0

citations
Renormalized Invariant Manifolds
2026 arXiv (Cornell University) preprint Engineering Stability and Controllability of Differential Equations Open access

Christian Kuehn, Jan-Eric Sulzbach

0

citations
Robust Energy System Design via Semi-infinite Programming
2024 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen

0

citations
Automated Importance Sampling via Optimal Control for Stochastic Reaction Networks: A Markovian Projection-based Approach
2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Autoencoder-enabled Model Portability for Reducing Hyperparameter Tuning Efforts in Side-channel Analysis
2023 Research Square preprint Computer Science Cryptographic Implementations and Security Open access

Marina Krček, Guilherme Perin

1

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Tensor Train Optimization for Conformational Sampling of Organic Molecules
2024 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Christopher Zurek, Ruslan A. Mallaev, Alexander C. Paul, Nils van Staalduinen, Philipp Pracht, Roman Ellerbrock, +1 more

1

citations
Crustal-Scale Thermal Models: Revisiting the Influence of Deep Boundary Conditions
2022 preprint Energy Geothermal Energy Systems and Applications Open access

Denise Degen, Karen Veroy, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
Crustal-Scale Thermal Models: Revisiting the Influence of Deep Boundary Conditions
2021 preprint Energy Geothermal Energy Systems and Applications Open access

Denise Degen, Karen Veroy, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
Optimal Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
MACE: A Machine learning Approach to Chemistry Emulation
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Silke Maes, F. De Ceuster, Marie Van de Sande, L. Decin

0

citations
Data-driven Parameters Tuning for Predictive Performance Improvement of Wire Bonder Multi-body Model
2024 preprint Engineering Control Systems and Identification Open access

Xiaodong Cheng, A. Di Bucchianico, Najmeh Javanmardi, Matthijs de Jong, Emil Lykke Diget, Colin P. Please, +4 more

1

citations
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
2021 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

0

citations
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yangjie Mei, Hao Wang

0

citations
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Simultaneous Factors Selection and Fusion of Their Levels in Penalized Logistic Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
Comparing Qubit and Qudit Encodings for EV Charging and Trip Assignment Problems
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Linus Ekstrøm, Hao Wang, Sebastian Schmitt

0

citations
How to find expressible and trainable parameterized quantum circuits?
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Peter Röseler, Dennis Willsch, Kristel F. L. Michielsen

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
Fault-Tolerant Code Switching Protocols for Near-Term Quantum Processors
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Friederike Butt, Sascha Heußen, Manuel Rispler

0

citations
A one-dimensional model for aspiration in blood vessels
2024 arXiv (Cornell University) preprint Engineering Elasticity and Material Modeling Open access

Niklas Kolbe, Dimitrios Katsaounis, Xiangge Yin, Michael Neidlin

2

citations
Scaling Laws for Thermodiffusively Unstable Lean Premixed Turbulent Hydrogen-Air Flames
2026 arXiv (Cornell University) preprint Engineering Combustion and flame dynamics Open access

Michael Gauding, T.L. Howarth, L. Berger, M Rieth, A. Gruber, W. Song, +6 more

0

citations