Laurent Jacques
Laurent Jacques
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Signal Processing with Optical Quadratic Random Sketches
ROP inception: signal estimation with quadratic random sketching
Asymmetric compressive learning guarantees with applications to quantized sketches
Sketching Datasets for Large-Scale Learning
Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines
Compressive learning with privacy guarantees
Compressive Learning of Generative Networks
When compressive learning fails: blame the decoder or the sketch?
Compressive k-Means with Differential Privacy
Differentially Private Compressive K-means
Compressive Classification (Machine Learning without learning)
Quantized Compressive K-Means
Taking the edge off quantization: projected back projection in dithered compressive sensing
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