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Quantifying the Impact of Lossy Compression on Neural Generative Surrogate Modeling
Arxiv
0+阅读 · 6月14日
Learning is Forgetting: LLM Training As Lossy Compression
Arxiv
0+阅读 · 4月8日
Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
Arxiv
0+阅读 · 4月19日
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
Arxiv
0+阅读 · 3月27日
Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression
Arxiv
0+阅读 · 3月26日
EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
Arxiv
0+阅读 · 4月1日
Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression
Arxiv
0+阅读 · 4月8日
Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
Arxiv
0+阅读 · 3月14日
Time-varying Vector Field Compression with Preserved Critical Point Trajectories
Arxiv
0+阅读 · 3月13日
A Framework for Robust Lossy Compression of Heavy-Tailed Sources
Arxiv
0+阅读 · 2月26日
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
Arxiv
0+阅读 · 3月10日
Time-varying Vector Field Compression with Preserved Critical Point Trajectories
Arxiv
0+阅读 · 2月23日
Lossy Compression of Network Feature Data: When Less Is Enough
Arxiv
0+阅读 · 2月25日
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
Arxiv
0+阅读 · 2月23日
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data
Arxiv
0+阅读 · 2月19日
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