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

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

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022

5 August 2022

Han-Wei Shen

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

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Title
Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation Abhay Kumar Dwivedi Shanu Saklani Soumya Dutta AI4CE 74 0 0 17 Oct 2025
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 206 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 291 2 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 322 0 0 23 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 198 2 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 198 1 0 22 May 2024