Pierre Vandergheynst

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 63

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

IEEE Trans. Signal Inf. Process. over Networks

Publications

Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David J. Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. ICLR (2024)
Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. CoRR (2023)
Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst
Interpretable statistical representations of neural population dynamics and geometry. CoRR (2023)
Daniele Grattarola, Pierre Vandergheynst
Generalised Implicit Neural Representations. CoRR (2022)
Andreas Scheck, Stéphane Rosset, Michaël Defferrard, Andreas Loukas, Jaume Bonet, Pierre Vandergheynst, Bruno E. Correia
RosettaSurf - A surface-centric computational design approach. PLoS Comput. Biol. 18 (3) (2022)
Daniele Grattarola, Pierre Vandergheynst
Generalised Implicit Neural Representations. NeurIPS (2022)
Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. WWW (Companion Volume) (2020)
Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. CoRR (2020)
Konstantinos Pitas, Andreas Loukas, Mike Davies, Pierre Vandergheynst
Some limitations of norm based generalization bounds in deep neural networks. CoRR (2019)
Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst
A Graph-Structured Dataset for Wikipedia Research. WWW (Companion Volume) (2019)
Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst
Anomaly detection in the dynamics of web and social networks. CoRR (2019)
Nauman Shahid, Francesco Grassi, Pierre Vandergheynst
Tensor Robust PCA on Graphs. ICASSP (2019)
Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst
Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. WWW (2019)
Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst
A Graph-structured Dataset for Wikipedia Research. CoRR (2019)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
Revisiting hard thresholding for DNN pruning. CoRR (2019)
Andreas Loukas, Pierre Vandergheynst
Spectrally approximating large graphs with smaller graphs. CoRR (2018)
Helena Peic Tukuljac, Thach Pham Vu, Hervé Lissek, Pierre Vandergheynst
Joint Estimation of Room Geometry and Modes with Compressed Sensing. CoRR (2018)
Lionel Martin, Andreas Loukas, Pierre Vandergheynst
Fast Approximate Spectral Clustering for Dynamic Networks. ICML (2018)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. ICONIP (1) (2018)
Andreas Loukas, Pierre Vandergheynst
Spectrally Approximating Large Graphs with Smaller Graphs. ICML (2018)
David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard
Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks 4 (4) (2018)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR (2018)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR (2018)
Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
Adaptive Graph-Based Total Variation for Tomographic Reconstructions. IEEE Signal Process. Lett. 25 (5) (2018)
Antonio Ortega, Pascal Frossard, Jelena Kovacevic, José M. F. Moura, Pierre Vandergheynst
Graph Signal Processing: Overview, Challenges, and Applications. Proc. IEEE 106 (5) (2018)
Helena Peic Tukuljac, Thach Pham Vu, Hervé Lissek, Pierre Vandergheynst
Joint Estimation of the Room Geometry and Modes with Compressed Sensing. ICASSP (2018)
Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems. NeuroImage 155 (2017)
Nathanaël Perraudin, Pierre Vandergheynst
Stationary Signal Processing on Graphs. IEEE Trans. Signal Process. 65 (13) (2017)
Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
Towards stationary time-vertex signal processing. ICASSP (2017)
Helena Peic Tukuljac, Hervé Lissek, Pierre Vandergheynst
Localization of Sound Sources in a Room with One Microphone. CoRR (2017)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA for Low-Rank Matrices on Graphs. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst
Compressive Embedding and Visualization using Graphs. CoRR (2017)
Volodymyr Miz, Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst
Wikipedia dynamic patterns discovery. CoRR (2017)
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset for Music Analysis. ISMIR (2017)
Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Process. Mag. 34 (4) (2017)
Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
Graph Based Sinogram Denoising for Tomographic Reconstructions. CoRR (2016)
Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst
Source Localization on Graphs via l1 Recovery and Spectral Graph Theory. CoRR (2016)
Daniele Bortolotti, Andrea Bartolini, Luca Benini, V. Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, Tobias Gemmeke, Rubén Braojos Lopez, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst
PHIDIAS: ultra-low-power holistic design for smart bio-signals computing platforms. Conf. Computing Frontiers (2016)
William Guicquero, Antoine Dupret, Pierre Vandergheynst
An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging. IEEE Trans. Computational Imaging 2 (3) (2016)
Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
Graph-based sinogram denoising for tomographic reconstructions. EMBC (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst
PCA using graph total variation. ICASSP (2016)
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
Song recommendation with non-negative matrix factorization and graph total variation. ICASSP (2016)
Nathanaël Perraudin, Pierre Vandergheynst
Stationary signal processing on graphs. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. CoRR (2016)
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation. CoRR (2016)
Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions. CoRR (2016)
Mahdad Hosseini Kamal, Barmak Heshmat, Ramesh Raskar, Pierre Vandergheynst, Gordon Wetzstein
Tensor low-rank and sparse light field photography. Comput. Vis. Image Underst. 145 (2016)
Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst
Towards stationary time-vertex signal processing. CoRR (2016)
Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
FMA: A Dataset For Music Analysis. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
Geometric deep learning: going beyond Euclidean data. CoRR (2016)
David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst
A Multiscale Pyramid Transform for Graph Signals. IEEE Trans. Signal Process. 64 (8) (2016)
Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst
Source localization on graphs via ℓ1 recovery and spectral graph theory. IVMSP (2016)
Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. IEEE Trans. Signal Inf. Process. over Networks 2 (2) (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
Compressive Spectral Clustering. ICML (2016)
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst
Low-Rank Matrices on Graphs: Generalized Recovery & Applications. CoRR (2016)
Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst
Compressive PCA on Graphs. CoRR (2016)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. 64 (23) (2016)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. NIPS (2016)
Nauman Shahid, Francesco Grassi, Pierre Vandergheynst
Multilinear Low-Rank Tensors on Graphs & Applications. CoRR (2016)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated spectral clustering using graph filtering of random signals. ICASSP (2016)
Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
Random sampling of bandlimited signals on graphs. CoRR (2015)
Hossein Mamaghanian, Pierre Vandergheynst
Ultra-low-power ECG front-end design based on compressed sensing. DATE (2015)
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Robust Principal Component Analysis on Graphs. ICCV (2015)
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst
Functional correspondence by matrix completion. CVPR (2015)
Nikola Katic, Mahdad Hosseini Kamal, Alexandre Schmid, Pierre Vandergheynst, Yusuf Leblebici
Compressive image acquisition in modern CMOS IC design. Int. J. Circuit Theory Appl. 43 (6) (2015)
Yann Schoenenberger, Johan Paratte, Pierre Vandergheynst
Graph-based denoising for time-varying point clouds. CoRR (2015)
Yann Schoenenberger, Johan Paratte, Pierre Vandergheynst
Graph-based denoising for time-varying point clouds. 3DTV-Conference (2015)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Laplacian matrix learning for smooth graph signal representation. ICASSP (2015)
Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR (2015)
Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst
Fast Robust PCA on Graphs. CoRR (2015)
Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. CoRR (2015)
Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. Comput. Graph. Forum 34 (5) (2015)
David I. Shuman, Christoph Wiesmeyr, Nicki Holighaus, Pierre Vandergheynst
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. IEEE Trans. Signal Process. 63 (16) (2015)
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Robust Principal Component Analysis on Graphs. CoRR (2015)
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
Geodesic Convolutional Neural Networks on Riemannian Manifolds. ICCV Workshops (2015)
Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. CoRR (2015)
William Guicquero, Pierre Vandergheynst, Timothe Laforest, Antoine Dupret
On adaptive pixel random selection for compressive sensing. GlobalSIP (2014)
Daniele Bortolotti, Hossein Mamaghanian, Andrea Bartolini, Maryam Ashouei, Jan Stuijt, David Atienza, Pierre Vandergheynst, Luca Benini
Approximate compressed sensing: ultra-low power biosignal processing via aggressive voltage scaling on a hybrid memory multi-core processor. ISLPED (2014)
Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR (2014)
Hossein Mamaghanian, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst
Power-efficient joint compressed sensing of multi-lead ECG signals. ICASSP (2014)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Learning Graphs from Signal Observations under Smoothness Prior. CoRR (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7 (4) (2014)
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Simon Arberet, Pierre Vandergheynst
Reverberant Audio Source Separation via Sparse and Low-Rank Modeling. IEEE Signal Process. Lett. 21 (4) (2014)
Jason D. McEwen, Martin Büttner, Boris Leistedt, Hiranya V. Peiris, Pierre Vandergheynst, Yves Wiaux
On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation. CoRR (2014)
Mahdad Hosseini Kamal, Paolo Favaro, Pierre Vandergheynst
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. EMMCVPR (2014)
William Guicquero, Pierre Vandergheynst, Timothe Laforest, Arnaud Verdant, Antoine Dupret
On multiple spectral dependent blurring kernels for super-resolution and hyperspectral imaging. GlobalSIP (2014)
Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
GSPBOX: A toolbox for signal processing on graphs. CoRR (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP (2014)
Emmanuel d'Angelo, Laurent Jacques, Alexandre Alahi, Pierre Vandergheynst
From Bits to Images: Inversion of Local Binary Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 36 (5) (2014)
Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds. IEEE Trans. Signal Process. 62 (4) (2014)
Mahsa Shoaran, Mahdad Hosseini Kamal, Claudio Pollo, Pierre Vandergheynst, Alexandre Schmid
Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition. IEEE Trans. Biomed. Circuits Syst. 8 (6) (2014)
Jan Hendrik Kobarg, Peter Maass, Janina Oetjen, Oren Tropp, Eyal Hirsch, Chen Sagiv, Mohammad Golbabaee, Pierre Vandergheynst
Numerical experiments with MALDI Imaging data. Adv. Comput. Math. 40 (3) (2014)
Gilles Puy, Pierre Vandergheynst
Robust Image Reconstruction from Multiview Measurements. SIAM J. Imaging Sci. 7 (1) (2014)
Mauro Mangia, Riccardo Rovatti, Gianluca Setti, Pierre Vandergheynst
Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture. ICASSP (2014)
Mohammad Golbabaee, Alexandre Alahi, Pierre Vandergheynst
SCOOP: A Real-Time Sparsity Driven People Localization Algorithm. J. Math. Imaging Vis. 48 (1) (2014)
Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst
Matrix Completion on Graphs. CoRR (2014)

Pierre Vandergheynst.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pierre Vandergheynst