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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “ScatterNet”

Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNetcs.LG

We propose a DTCWT ScatterNet Convolutional Neural Network (DTSCNN) formed by replacing the first few layers of a CNN network with a parametric log based DTCWT ScatterNet. The ScatterNet extracts edge based invariant representations that are used by the later layers of the CNN to learn high-level features. This improve…

2017-08-30abs ↗pdf ↗

Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillationcs.LG

A new method for privacy-preserving data distillation using wavelet features from ScatterNet.

problem Privacy-preserving data distillation for small datasets.

method Differentially private kernel inducing points using wavelet features from ScatterNet.

result Achieves privacy-preserving data distillation with manageable computational cost.

differential privacy data distillation wavelet features ScatterNet kernel inducing points

2023-01-31abs ↗pdf ↗