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Data Compression

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Showing 176–200 of 459 papers

TitleStatusHype
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer—0
SymED: Adaptive and Online Symbolic Representation of Data on the Edge—0
Bandwidth-efficient Inference for Neural Image Compression—0
Streaming Compression of Scientific Data via weak-SINDy—0
CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical ImagesCode0
Data Compression and Inference in Cosmology with Self-Supervised Machine LearningCode0
Approximating Human-Like Few-shot Learning with GPT-based Compression—0
Bayesian Flow NetworksCode2
Event-based Vision for Early Prediction of Manipulation ActionsCode0
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging—0
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
Sparse wavelet-based solutions for the M/EEG inverse problem—0
LeCo: Lightweight Compression via Learning Serial Correlations—0
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species GenomeCode2
SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera—0
Samplet basis pursuit: Multiresolution scattered data approximation with sparsity constraints—0
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC—0
Compressed Sensing: A Discrete Optimization ApproachCode0
Repeated Random Sampling for Minimizing the Time-to-Accuracy of LearningCode0
Universal Weak Coreset—0
Reinforcement Learning with Simple Sequence Priors—0
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces—0
Bayesian RenormalizationCode0
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