Adaptive Sampling of 3D Spatial Correlations for Focus+ Context Visualization
C Neuhauser, J Stumpfegger… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Visualizing spatial correlations in 3D ensembles is challenging due to the vast amounts of
information that need to be conveyed. Memory and time constraints make it unfeasible to pre …
information that need to be conveyed. Memory and time constraints make it unfeasible to pre …
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as
compact functional surrogates for analysis and visualization. As SRNs are black-box lossy …
compact functional surrogates for analysis and visualization. As SRNs are black-box lossy …
A Compact and Efficient Neural Data Structure for Mutual Information Estimation in Large Timeseries
F Farokhmanesh, C Neuhauser… - Proceedings of the 36th …, 2024 - dl.acm.org
Database systems face challenges when using mutual information (MI) for analyzing non-
linear relationships between large timeseries, due to computational and memory …
linear relationships between large timeseries, due to computational and memory …
Efficient Visualization for Machine-Learning-Represented Scientific Data
H Li - 2024 - search.proquest.com
Recent progress in high-performance computing now allows researchers to run extremely
high-resolution computational models, simulating detailed physical phenomena. Yet …
high-resolution computational models, simulating detailed physical phenomena. Yet …
Mìmir: A real-time interactive visualization library for CUDA programs
FJ Carter Araya - 2023 - repositorio.uchile.cl
La visualizaci´ on de experimentos que corren en GPU mediante plataformas como CUDA
presenta caracter´ ısticas distintas en comparaci´ on a la de algoritmos tradicionales que …
presenta caracter´ ısticas distintas en comparaci´ on a la de algoritmos tradicionales que …