Differentially private compressive k-means V Schellekens, A Chatalic, F Houssiau, YA De Montjoye, L Jacques, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
27 2019 Quantized Compressive K-Means V Schellekens, L Jacques
IEEE Signal Processing Letters 25 (8), 1211-1215, 2018
26 2018 Sketching data sets for large-scale learning: Keeping only what you need R Gribonval, A Chatalic, N Keriven, V Schellekens, L Jacques, P Schniter
IEEE Signal Processing Magazine 38 (5), 12-36, 2021
23 2021 Compressive learning with privacy guarantees A Chatalic, V Schellekens, F Houssiau, YA De Montjoye, L Jacques, ...
Information and Inference: A Journal of the IMA 11 (1), 251-305, 2022
17 2022 Sketching datasets for large-scale learning (long version) R Gribonval, A Chatalic, N Keriven, V Schellekens, L Jacques, P Schniter
arXiv preprint arXiv:2008.01839, 2020
12 2020 Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines V Schellekens, L Jacques
Information and Inference: A Journal of the IMA, 2020
8 2020 Compressive classification (machine learning without learning) V Schellekens, L Jacques
arXiv preprint arXiv:1812.01410, 2018
8 2018 Cradle-to-gate Life Cycle Assessment of CMOS Logic Technologies L Boakes, MG Bardon, V Schellekens, IY Liu, B Vanhouche, G Mirabelli, ...
IEEE International Electron Devices Meeting 2023, 2023
7 2023 Compressive Learning of Generative Networks V Schellekens, L Jacques
28th European Symposium on Artificial Neural Networks, Computational …, 2020
6 2020 ROP inception: signal estimation with quadratic random sketching R Delogne, V Schellekens, L Jacques
30th European Symposium on Artificial Neural Networks, Computational …, 2022
4 2022 Compressive k-means with differential privacy V Schellekens, A Chatalic, F Houssiau, YA de Montjoye, L Jacques, ...
SPARS 2019-Signal Processing with Adaptive Sparse Structured Representations …, 2019
4 2019 When compressive learning fails: blame the decoder or the sketch? V Schellekens, L Jacques
arXiv preprint arXiv:2009.08273, 2020
2 2020 PYCLE: a Python Compressive Learning toolbox V Schellekens
https://github.com/schellekensv/pycle, 2020
2 2020 Taking the edge off quantization: projected back projection in dithered compressive sensing C Xu, V Schellekens, L Jacques
2018 IEEE Statistical Signal Processing Workshop (SSP), 203-207, 2018
2 2018 Signal processing with optical quadratic random sketches R Delogne, V Schellekens, L Daudet, L Jacques
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
1 2023 Asymmetric compressive learning guarantees with applications to quantized sketches V Schellekens, L Jacques
IEEE Transactions on Signal Processing 70, 1348 - 1360, 2022
1 2022 Extending the Compressive Statistical Learning Framework: Quantization, Privacy, and Beyond V Schellekens
UCLouvain, Belgium, 2021
1 2021 Compressive clustering of high-dimensional datasets by 1-bit sketching V Schellekens, L Jacques
master thesis, Louvain School of Engineering (EPL), UCLouvain, 2017
1 2017 Signal processing after quadratic random sketching with optical units R Delogne, V Schellekens, L Daudet, L Jacques
International Symposium on Computational Sensing (ISCS23), 2023
2023 M F Houssiau, V Schellekens, A Chatalic, SK Annamraju, YA de Montjoye
Security and Trust Management (STM) 2022, 2022
2022 
Laurent JacquesProfessor, ISPGroup, INMA/ICTEAM, UCLouvain, BelgiumAdresse e-mail validée de uclouvain.be
