IDLat: An Importance-Driven Latent Generation Method for Scientific Data

IDLat: An Importance-Driven Latent Generation Method for Scientific Data

5 August 2022

Han-Wei Shen

Papers citing "IDLat: An Importance-Driven Latent Generation Method for Scientific Data"

6 / 6 papers shown

Title
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types Feng Lin Arran Zeyu Wang Md Dilshadur Rahman D. Szafir Ghulam Jilani Quadri 12 0 0 28 Aug 2024
Uncertainty-Informed Volume Visualization using Implicit Neural Representation Shanu Saklani Chitwan Goel Shrey Bansal Zhe Wang Soumya Dutta Tushar M. Athawale D. Pugmire Christopher R. Johnson 20 0 0 12 Aug 2024
Datasets of Visualization for Machine Learning Can Liu Ruike Jiang Shaocong Tan Jiacheng Yu Chaofan Yang Hanning Shao Xiaoru Yuan XAI 24 0 0 23 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 40 0 0 23 Jul 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 24 1 0 22 May 2024
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 70 239 0 18 Jul 2016