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21 to 30 of 179 Results
ch6-R_V_C_-Run09_experiment.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 3.4 MB - MD5: 912dd0b333ea0ffba5582d7829740275
ch6
ch6-R_V_C_-Run09_simulation.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 10.1 MB - MD5: c06aeffdc0fc83bab2dfe747ec0f64b3
ch6
ch7-I_Cg_C_F-1D_lattice_n16.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 3.7 MB - MD5: 1e1802f339cfe7adc4527e52cd9b877f
ch7
ch7-I_Cg_C_F-2x2_gradient_lines.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 2.5 MB - MD5: 30fb35029fa245fb601c25c11483d538
ch7
ch7-I_Cg_C_F-6rods.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 3.2 MB - MD5: 9bd58c56141422401a56d9d11a8a10c1
ch7
ch7-I_CgCm_C_aF-1D_lattice_n16.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 3.9 MB - MD5: b1e4e8d3582a60666621bea819b10435
ch7
ch7-I_CgCm_C_aF-1x2_condition_regions.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 494.0 KB - MD5: d69b16b8644c234e1b723a954a2d536c
ch7
ch7-I_CgCm_C_aF-2x2_condition_regions.mp4
Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"
MPEG-4 Video - 1.1 MB - MD5: 8913b039ca321831faee4d58deb6c1fe
ch7
Scripts and Data for "Towards a phenomenological understanding of neural networks: data"
Aug 24, 2023
Tovey, Samuel; Krippendorf, Sven; Nikolaou, Konstantin; Holm, Christian, 2023, "Scripts and Data for "Towards a phenomenological understanding of neural networks: data"", https://doi.org/10.18419/darus-3691, DaRUS, V1
Data and scripts to reproduce the plots in the paper. Data is separated into two directories: Surfaces: All data for rebuilding the surfaces rnd-plots: Data to reproduce the rnd plots The scripts, once run, will produce the plots in the paper.
mlst_data_upload.tar.gz
Aug 24, 2023 - Scripts and Data for "Towards a phenomenological understanding of neural networks: data"
Gzip Archive - 124.1 MB - MD5: a513ca722602f2656a2b84aab060be6f
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