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1Comparing Physics-based, Conceptual and Machine-Learning Models to Predict Groundwater Levels by BMA
T. Wöhling, A. Crespo Delgadillo, M. Kraft, and A. Guthke. Groundwater, (2025)
2 days ago by @unibiblio
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6A Sustainable Infrastructure Concept for Improved Accessibility, Reusability, and Archival of Research Software
T. Koch, D. Gläser, A. Seeland, S. Roy, K. Schulze, K. Weishaupt, D. Boehringer, S. Hermann, and B. Flemisch. Preprint, (2023)
3 days ago by @unibiblio
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1Toward a Class of Port-Hamiltonian Systems With Time-Delays
T. Breiten, D. Hinsen, and B. Unger. IEEE transactions on automatic control, 69 (12): 8924-8930 (2024)
10 days ago by @unibiblio
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1Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
R. Bauer, M. Evers, Q. Quang Ngo, G. Reina, S. Frey, and M. Sedlmair. Software, (2025)Related to: Bauer, R., Evers, M., Ngo, Q.Q., Reina, G., Frey, S. and Sedlmair, M. (2025), Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Computer Graphics Forum e70122. doi: 10.1111/cgf.70122.
11 days ago by @unibiblio
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3Optimizing the Recovery of (Synthetic) Live Oils : Influence of Propane and Methane in Extended Surfactant Microemulsions
M. Krappel, J. Hippele, S. Kolin, N. Lichterfeld-Weber, R. Schweins, C. Bittner, and T. Sottmann. 85th EAGE Annual Conference & Exhibition, European Association of Geoscientists & Engineers, (2024)
14 days ago by @unibiblio
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4Evaluating physics-based representations of hydrological systems through hybrid models and information theory
M. Álvarez Chaves, E. Acuña Espinoza, U. Ehret, and A. Guthke. EGU General Assembly 2024, page EGU24-13417. Göttingen, Copernicus Publications, (2024)
18 days ago by @unibiblio
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1Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
M. Gaimann, and M. Klopotek. Dataset, (2025)Related to: Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. arXiv: 2505.05420.
26 days ago by @unibiblio
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1Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
M. Gaimann, and M. Klopotek. Dataset, (2025)Related to: Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. arXiv: 2505.05420.
26 days ago by @unibiblio
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2To Bucket or not to Bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization
E. Espinoza, R. Loritz, M. Álvarez Chaves, N. Bäuerle, and U. Ehret. Preprint, (2023)
a month ago by @unibiblio
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3An alternative strategy for combining likelihood values in Bayesian calibration to improve model predictions
M. Viswanathan, T. Weber, and A. Guthke. EGU General Assembly 2022, page EGU22-1210. (2022)
a month ago by @unibiblio
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1Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
P. Reiser, J. Aguilar, A. Guthke, and P. Bürkner. Statistics and computing, 35 (3): 66 (2025)
a month ago by @unibiblio
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1Bayesian updating despite model errors? A sliding time-window approach to rescue
A. Guthke, H. Hsueh, T. Wöhling, and W. Nowak. EGU General Assembly 2022, page EGU22-12525. Copernicus Publications, (2022)
a month ago by @unibiblio
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1Quantifying Uncertainty in Surrogate-based Bayesian Inference
P. Reiser, J. Aguilar, A. Guthke, and P. Bürkner. EGU General Assembly 2024, page EGU24-5219. Copernicus Publications, (2024)
a month ago by @unibiblio
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2A Quantitative Method to Evaluate the Performance of Competing (Stochastic) Invasion Percolation Models under Different Gas-Flow Regimes
I. Banerjee, A. Guthke, C. Van De Ven, K. Mumford, and W. Nowak. AGU Fall Meeting Abstracts, page H12E-05. American Geophysical Union, (2021)
a month ago by @unibiblio
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2A comparison of lower body gait kinematics and kinetics between Theia3D markerless and marker-based models in healthy subjects and clinical patients
S. D'Souza, T. Siebert, and V. Fohanno. Scientific reports, (2024)
a month ago by @unibiblio
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2Meta-Uncertainty in Bayesian Model Comparison
M. Schmitt, S. Radev, and P. Bürkner. International Conference on Artificial Intelligence and Statistics, 206, page 11-29. JMLR, (2023)
2 months ago by @unibiblio
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1Supplementary Information to "Linker-Cluster Cooperativity in Confinement of Proline- Functionalized Zr-Based Metal-Organic Frameworks and its Effect on the Organocatalytic Aldol Reaction"
S. Kolin, and K. Pluhackova. Dataset, (2025)Related to: Z. Dilruba, A.D. Yeganeh, S. Kolin, S. Noor, H. Shatla, C. Wieland, B.-H. Yu, K. Gugeler, A. Zens, J. Kästner, D. P. Estes, K. Pluhackova, S. Krause, S. Laschat. (2024). Linker-Cluster Cooperativity in Confinement of Proline-Functionalized Zr-Based Metal-Organic Frameworks and its Effect on the Organocatalytic Aldol Reaction. doi: 10.26434/chemrxiv-2024-47660.
2 months ago by @unibiblio
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6Force re-development after shortening reveals a role for titin in stretch-shortening performance enhancement in skinned muscle fibres
A. Tomalka, S. Weidner, D. Hahn, W. Seiberl, and T. Siebert. The journal of experimental biology, 227 (17): jeb247377 (2024)
2 months ago by @unibiblio
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1Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning
K. Pluhackova, C. Pfaendner, B. Unger, and V. Korn. Software, (2025)Related to: Pfaendner, C., Korn, V., Gogoi, P., Unger, B., Pluhackova, K. (2025). ART-SM: Boosting Fragment-Based Backmapping by Machine Learning. Journal of Chemical Theory and Computation. doi: 10.1021/acs.jctc.5c00189.
2 months ago by @unibiblio
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7BCL-2 and BOK regulate apoptosis by interaction of their C-terminal transmembrane domains
T. Beigl, A. Paul, T. Fellmeth, D. Nguyen, L. Barber, S. Weller, B. Schäfer, B. Gillissen, W. Aulitzky, H. Kopp and 4 other author(s). EMBO reports, (2024)
2 months ago by @unibiblio
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1Comparing Physics-based, Conceptual and Machine-Learning Models to Predict Groundwater Levels by BMA

6A Sustainable Infrastructure Concept for Improved Accessibility, Reusability, and Archival of Research Software

1Toward a Class of Port-Hamiltonian Systems With Time-Delays

1Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples

3Optimizing the Recovery of (Synthetic) Live Oils : Influence of Propane and Methane in Extended Surfactant Microemulsions

4Evaluating physics-based representations of hydrological systems through hybrid models and information theory

1Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

1Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

2To Bucket or not to Bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization

3An alternative strategy for combining likelihood values in Bayesian calibration to improve model predictions

1Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

1Bayesian updating despite model errors? A sliding time-window approach to rescue

1Quantifying Uncertainty in Surrogate-based Bayesian Inference

2A Quantitative Method to Evaluate the Performance of Competing (Stochastic) Invasion Percolation Models under Different Gas-Flow Regimes

2A comparison of lower body gait kinematics and kinetics between Theia3D markerless and marker-based models in healthy subjects and clinical patients

2Meta-Uncertainty in Bayesian Model Comparison

1Supplementary Information to "Linker-Cluster Cooperativity in Confinement of Proline- Functionalized Zr-Based Metal-Organic Frameworks and its Effect on the Organocatalytic Aldol Reaction"

6Force re-development after shortening reveals a role for titin in stretch-shortening performance enhancement in skinned muscle fibres

1Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning

7BCL-2 and BOK regulate apoptosis by interaction of their C-terminal transmembrane domains

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