Vincent Schellekens

发表

Compressive Classification (Machine Learning without learning) pdf

Laurent Jacques, Vincent Schellekens, 2018, ArXiv.

When compressive learning fails: blame the decoder or the sketch? pdf

Laurent Jacques, Vincent Schellekens, 2020, ArXiv.

Differentially Private Compressive K-means

Rémi Gribonval, Florimond Houssiau, Laurent Jacques, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing

Laurent Jacques, Chunlei Xu, Vincent Schellekens, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Compressive k-Means with Differential Privacy

Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, 2019 .

Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines pdf

Laurent Jacques, Vincent Schellekens, 2020, ArXiv.

Sketching Datasets for Large-Scale Learning (long version) pdf

Philip Schniter, Laurent Jacques, Nicolas Keriven, 2020, ArXiv.

Compressive Learning of Generative Networks

Laurent Jacques, Vincent Schellekens, 2020, ESANN.

Compressive Learning with Privacy Guarantees

Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, 2020 .

Quantized Compressive K-Means

Laurent Jacques, Vincent Schellekens, 2018, IEEE Signal Processing Letters.

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

Vincent Schellekens, 2021 .

Asymmetric compressive learning guarantees with applications to quantized sketches pdf

Laurent Jacques, Vincent Schellekens, 2021, ArXiv.

Sketching Data Sets for Large-Scale Learning: Keeping only what you need

Laurent Jacques, Philip Schniter, Vincent Schellekens, 2021, IEEE Signal Processing Magazine.