Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

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4,481 to 4,490 of 25,631 Results

train_vlstm.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 6.8 KB - MD5: b17d0f6efba7ccb3490694f57e3a8fb6
uh_routing.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 4.1 KB - MD5: cb9ed0c3b56243560a20632312a8b70a
understanding-reliability.ipynb Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Jupyter Notebook - 329.0 KB - MD5: 2fd001892e1875e981722cdef4cea7f9
utils.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 5.3 KB - MD5: f1a10ae118ad13d72d60e72a41524be6
uv.lock Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Unknown - 366.0 KB - MD5: 47d258b557ffd407fdaaba4e3308867e
__version__.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 21 B - MD5: 56f9667eaab1633401d925e355f9ea96
vlstm.cpython-310.pyc Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Unknown - 8.0 KB - MD5: 3b539f285c50d8dd7ce5be7eb3e7fa82
vlstm.cpython-312.pyc Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Unknown - 10.6 KB - MD5: a0c46f660a6071264437a768b1acb4af
vlstm.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 8.4 KB - MD5: 6940ac8ad679ae441dee3ec374cc52ce
Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) Jun 19, 2026 - PN 6-15 Gaimann, Mario U.; Klopotek, Miriam, 2025, "Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4805, DaRUS, V3, UNF:6:C1gH8zVD6YKFF/O3ZhSaSA== [fileUNF] This repository contains raw and post-processed replication data for the publication "Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and Klopotek, 2025). The datasets contain physical observables recorded during non-equilibrium simulations of active matter systems (swarms) driven by an external...

train_vlstm.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 6.8 KB -

uh_routing.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 4.1 KB -

understanding-reliability.ipynb

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Jupyter Notebook - 329.0 KB -

utils.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 5.3 KB -

uv.lock

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Unknown - 366.0 KB -

__version__.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 21 B -

vlstm.cpython-310.pyc

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Unknown - 8.0 KB -

vlstm.cpython-312.pyc

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Unknown - 10.6 KB -

vlstm.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 8.4 KB -

Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

Jun 19, 2026 - PN 6-15

Gaimann, Mario U.; Klopotek, Miriam, 2025, "Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4805, DaRUS, V3, UNF:6:C1gH8zVD6YKFF/O3ZhSaSA== [fileUNF]

This repository contains raw and post-processed replication data for the publication "Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and Klopotek, 2025). The datasets contain physical observables recorded during non-equilibrium simulations of active matter systems (swarms) driven by an external...

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