Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing. - Chunlei Xu; Vincent Schellekens; Laurent Jacques (SSP, 2018)

Compressive Classification (Machine Learning without learning). - Vincent Schellekens; Laurent Jacques (CoRR, 2018)

Quantized Compressive K-Means. - Vincent Schellekens; Laurent Jacques (IEEE Signal Process. Lett., 2018)

Differentially Private Compressive K-means. - Vincent Schellekens; Antoine Chatalic; Florimond Houssiau; Yves-Alexandre de Montjoye; Laurent Jacques; Rémi Gribonval (ICASSP, 2019)

Compressive Learning of Generative Networks. - Vincent Schellekens; Laurent Jacques (ESANN, 2020)

Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines. - Vincent Schellekens; Laurent Jacques (CoRR, 2020)

Sketching Datasets for Large-Scale Learning (long version). - Rémi Gribonval; Antoine Chatalic; Nicolas Keriven; Vincent Schellekens; Laurent Jacques; Philip Schniter (CoRR, 2020)

When compressive learning fails: blame the decoder or the sketch? - Vincent Schellekens; Laurent Jacques (CoRR, 2020)

Sketching Data Sets for Large-Scale Learning: Keeping only what you need. - Rémi Gribonval; Antoine Chatalic; Nicolas Keriven; Vincent Schellekens; Laurent Jacques; Philip Schniter (IEEE Signal Process. Mag., 2021)

Extending the compressive statistical learning framework: quantization, privacy and beyond. - Vincent Schellekens (2021)

ROP inception: signal estimation with quadratic random sketching. - Rémi Delogne; Vincent Schellekens; Laurent Jacques (ESANN, 2022)

M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. - Florimond Houssiau; Vincent Schellekens; Antoine Chatalic; Shreyas Kumar Annamraju; Yves-Alexandre de Montjoye (STM, 2022)

Asymmetric Compressive Learning Guarantees With Applications to Quantized Sketches. - Vincent Schellekens; Laurent Jacques (IEEE Trans. Signal Process., 2022)

Signal Processing with Optical Quadratic Random Sketches. - Rémi Delogne; Vincent Schellekens; Laurent Daudet; Laurent Jacques (ICASSP, 2023)