PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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3,921 to 3,930 of 4,903 Results

parameter-scan-neural-ode-test-metrics.tar.xz Jan 14, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations XZ Archive - 19.8 GB - MD5: 33fa430dde57de840921078969bd7bfe Data
Replication Data for: "BSP k-Means" Dec 11, 2025 - PN 6-4 Künzel, Sebastian; Weiskopf, Daniel, 2025, "Replication Data for: "BSP k-Means"", https://doi.org/10.18419/DARUS-5575, DaRUS, V1 This dataset contains reference implementations in C++ and CUDA for the algorithm presented in the paper "BSP k-Means". The purpose of the data is to allow replication of the reported results.
cuda_code.7z Dec 11, 2025 - Replication Data for: "BSP k-Means" Compressed Archive - 10.4 KB - MD5: a69355924c650f7c8242d9753eedb967
KMeansFullEvalSetup_Min.7z Dec 11, 2025 - Replication Data for: "BSP k-Means" Compressed Archive - 1.6 MB - MD5: 622c97ed9e3804846afd845e79e99a8b
Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer" Oct 29, 2025 - PN 6-4 Künzel, Sebastian; Geringer, Sergej; Quang Ngo, Quynh; Voglreiter, Philip; Weiskopf, Daniel; Schmalstieg, Dieter, 2025, "Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer"", https://doi.org/10.18419/DARUS-5385, DaRUS, V1 Supplemental material for our paper "Potentially Visible Set Generation with the Disocclusion Buffer": A video showcasing our architecture and example visualizations The source archive to replicate the results reported in our paper
SourceCode.7z Oct 29, 2025 - Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer" Compressed Archive - 693.4 KB - MD5: 9bc5c0a948da77a0cb49016948751631 Source Code
video_cam_ready.mp4 Oct 29, 2025 - Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer" MPEG-4 Video - 275.9 MB - MD5: b1e6329c1cd4fd982591c4348437149c Supplemental Video
agent-repulsion-driver-attraction-Lorenz96.tar.xz Sep 9, 2025 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) XZ Archive - 14.0 GB - MD5: 43a3e7ba2030f9d4bf3b2fbfc8408123 Data
agent-repulsion-driver-attraction-r_d_2.tar.xz Sep 9, 2025 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) XZ Archive - 15.4 GB - MD5: ac5bf40d4d22dd444364b9e83fae0568 Data
agent-repulsion-nagents-driver-attraction-r_r-1e0-K_d-1e1.tar.xz Sep 9, 2025 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) XZ Archive - 13.3 GB - MD5: 22a1ae79bc47a0ba7afc90aa3a0a3ac6 Data

parameter-scan-neural-ode-test-metrics.tar.xz

Jan 14, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

XZ Archive - 19.8 GB -

Data

Replication Data for: "BSP k-Means"

Dec 11, 2025 - PN 6-4

Künzel, Sebastian; Weiskopf, Daniel, 2025, "Replication Data for: "BSP k-Means"", https://doi.org/10.18419/DARUS-5575, DaRUS, V1

This dataset contains reference implementations in C++ and CUDA for the algorithm presented in the paper "BSP k-Means". The purpose of the data is to allow replication of the reported results.

cuda_code.7z

Dec 11, 2025 - Replication Data for: "BSP k-Means"

Compressed Archive - 10.4 KB -

KMeansFullEvalSetup_Min.7z

Dec 11, 2025 - Replication Data for: "BSP k-Means"

Compressed Archive - 1.6 MB -

Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer"

Oct 29, 2025 - PN 6-4

Künzel, Sebastian; Geringer, Sergej; Quang Ngo, Quynh; Voglreiter, Philip; Weiskopf, Daniel; Schmalstieg, Dieter, 2025, "Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer"", https://doi.org/10.18419/DARUS-5385, DaRUS, V1

Supplemental material for our paper "Potentially Visible Set Generation with the Disocclusion Buffer": A video showcasing our architecture and example visualizations The source archive to replicate the results reported in our paper

SourceCode.7z

Oct 29, 2025 - Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer"

Compressed Archive - 693.4 KB -

Source Code

video_cam_ready.mp4

Oct 29, 2025 - Supplemental Material for "Potentially Visible Set Generation with the Disocclusion Buffer"

MPEG-4 Video - 275.9 MB -

Supplemental Video

agent-repulsion-driver-attraction-Lorenz96.tar.xz

Sep 9, 2025 - Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

XZ Archive - 14.0 GB -

Data