Vincent Schellekens

20 papers B 2Misc 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	Misc	`conf`	Signal Processing with Optical Quadratic Random Sketches. ICASSP Rémi Delogne, Vincent Schellekens, Laurent Daudet, Laurent Jacques
2022	J	`jnl`	Asymmetric Compressive Learning Guarantees With Applications to Quantized Sketches. IEEE Trans. Signal Process. Vincent Schellekens, Laurent Jacques
2022	—	`conf`	M STM Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022	J	`jnl`	M CoRR Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022	B	`conf`	ROP inception: signal estimation with quadratic random sketching. ESANN Rémi Delogne, Vincent Schellekens, Laurent Jacques
2022	J	`jnl`	ROP inception: signal estimation with quadratic random sketching. CoRR Rémi Delogne, Vincent Schellekens, Laurent Jacques
2021	J	`jnl`	Asymmetric compressive learning guarantees with applications to quantized sketches. CoRR Vincent Schellekens, Laurent Jacques
2021	—	`—`	Extending the compressive statistical learning framework: quantization, privacy and beyond. Vincent Schellekens
2021	J	`jnl`	Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2020	J	`jnl`	Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines. CoRR Vincent Schellekens, Laurent Jacques
2020	B	`conf`	Compressive Learning of Generative Networks. ESANN Vincent Schellekens, Laurent Jacques
2020	J	`jnl`	Compressive Learning of Generative Networks. CoRR Vincent Schellekens, Laurent Jacques
2020	J	`jnl`	Sketching Datasets for Large-Scale Learning (long version). CoRR Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2020	J	`jnl`	When compressive learning fails: blame the decoder or the sketch? CoRR Vincent Schellekens, Laurent Jacques
2019	Misc	`conf`	Differentially Private Compressive K-means. ICASSP Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
2018	J	`jnl`	Compressive Classification (Machine Learning without learning). CoRR Vincent Schellekens, Laurent Jacques
2018	J	`jnl`	Quantized Compressive K-Means. CoRR Vincent Schellekens, Laurent Jacques
2018	J	`jnl`	Quantized Compressive K-Means. IEEE Signal Process. Lett. Vincent Schellekens, Laurent Jacques
2018	—	`conf`	Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing. SSP Chunlei Xu, Vincent Schellekens, Laurent Jacques
2018	J	`jnl`	Taking the edge off quantization: projected back projection in dithered compressive sensing. CoRR Chunlei Xu, Vincent Schellekens, Laurent Jacques