Author of the publication

Extending the compressive statistical learning framework: quantization, privacy and beyond.

. Catholic University of Louvain, Louvain-la-Neuve, Belgium, (2021)base-search.net (ftunivlouvain:oai:dial.uclouvain.be:boreal:250190).

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Asymmetric Compressive Learning Guarantees With Applications to Quantized Sketches., and . IEEE Trans. Signal Process., (2022)Signal Processing with Optical Quadratic Random Sketches., , , and . ICASSP, page 1-5. IEEE, (2023)When compressive learning fails: blame the decoder or the sketch?, and . CoRR, (2020)Differentially Private Compressive K-means., , , , , and . ICASSP, page 7933-7937. IEEE, (2019)Asymmetric compressive learning guarantees with applications to quantized sketches., and . CoRR, (2021)Sketching Data Sets for Large-Scale Learning: Keeping only what you need., , , , , and . IEEE Signal Process. Mag., 38 (5): 12-36 (2021)ROP inception: signal estimation with quadratic random sketching., , and . ESANN, (2022)Sketching Datasets for Large-Scale Learning (long version)., , , , , and . CoRR, (2020)M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch., , , , and . STM, volume 13867 of Lecture Notes in Computer Science, page 117-135. Springer, (2022)Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing., , and . SSP, page 203-207. IEEE, (2018)