Vincent Schellekens

20 papers B 2Misc 2Journal 13Unranked 2
YearRankTypeTitle / 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
redb/extractors/decompiler/bninja/utils/license.py
← Index redb/extractors/decompiler/bninja/utils/license.py python 
import os


def set_license(binaryninja):
    license_path = os.getenv("BN_LICENSE_PATH")
    if not license_path:
        raise OSError(
            "License path not set.\nRun `export BN_LICENSE_PATH=/path/to/bn.license` to set the correct license."
        )
    with open(license_path) as f:
        binaryninja.core_set_license(f.read())