Vincent Schellekens

Latest

• 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