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Presentations in this session
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FeatureZ: A General Framework for Feature-Preserving Compression via Pointwise Bounds and Star Classification
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Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression
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ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
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FZ-VIS: A Visual Analytics Framework for Quantities-of-Interest-Aware Scientific Lossy Compression
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EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed and GPU-Parallel Lossy Compression
emoji_eventsBest Paper
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EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database
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