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2020 – today
- 2024
[e1]Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud:
Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway. Proceedings of Machine Learning Research 233, PMLR 2024 [contents]- 2022
- [c11]Alexandru Mocanu, Benjamin Ricaud, Milos Cernak:
Fast accuracy estimation of deep learning based multi-class musical source separation. NLDL 2022 - [c10]Helena Peic Tukuljac, Benjamin Ricaud, Nicolas Aspert
, Laurent Colbois:
Learnable filter-banks for CNN-based audio applications. NLDL 2022 - 2020
- [j7]Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz:
Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion. Algorithms 13(11): 275 (2020) - [c9]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: 794-801 - [i14]Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst:
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. CoRR abs/2002.06885 (2020) - [i13]Alexandru Mocanu, Benjamin Ricaud, Milos Cernak:
Fast accuracy estimation of deep learning based multi-class musical source separation. CoRR abs/2010.09453 (2020) - [i12]Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz:
Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion. CoRR abs/2010.11786 (2020)
2010 – 2019
- 2019
- [c8]Berkay Inan, Milos Cernak, Helmut Grabner, Helena Peic Tukuljac, Rodrigo C. G. Pena, Benjamin Ricaud:
Evaluating Audiovisual Source Separation in the Context of Video Conferencing. INTERSPEECH 2019: 4579-4583 - [c7]Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst:
A Graph-Structured Dataset for Wikipedia Research. WWW (Companion Volume) 2019: 1188-1193 - [c6]Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst:
Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. WWW 2019: 1290-1299 - [i11]Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst:
Anomaly detection in the dynamics of web and social networks. CoRR abs/1901.09688 (2019) - [i10]Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst:
A Graph-structured Dataset for Wikipedia Research. CoRR abs/1903.08597 (2019) - 2018
- [j6]Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud:
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Trans. Signal Process. 66(3): 817-829 (2018) - 2017
- [j5]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: 490-502 (2017) - [i9]Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud:
A Time-Vertex Signal Processing Framework. CoRR abs/1705.02307 (2017) - [i8]Volodymyr Miz, Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Wikipedia dynamic patterns discovery. CoRR abs/1710.00398 (2017) - 2016
- [j4]Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. IEEE Trans. Signal Inf. Process. over Networks 2(2): 160-173 (2016) - [c5]Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud:
Tracking time-vertex propagation using dynamic graph wavelets. GlobalSIP 2016: 351-355 - [c4]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst:
PCA using graph total variation. ICASSP 2016: 4668-4672 - [i7]Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud:
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. CoRR abs/1606.06653 (2016) - 2015
- [c3]Hélène Lachambre, Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Darian Onchis-Moaca:
Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis. SYNASC 2015: 109-112 - [i6]Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. CoRR abs/1504.08153 (2015) - 2014
- [j3]Benjamin Ricaud, Bruno Torrésani:
A survey of uncertainty principles and some signal processing applications. Adv. Comput. Math. 40(3): 629-650 (2014) - [j2]Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Hélène Lachambre, Darian M. Onchis:
An optimally concentrated Gabor transform for localized time-frequency components. Adv. Comput. Math. 40(3): 683-702 (2014) - [i5]Hélène Lachambre, Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Darian M. Onchis:
Optimal Window and Lattice in Gabor Transform Application to Audio Analysis. CoRR abs/1403.2180 (2014) - 2013
- [j1]Benjamin Ricaud, Bruno Torrésani:
Refined Support and Entropic Uncertainty Inequalities. IEEE Trans. Inf. Theory 59(7): 4272-4279 (2013) - [i4]David I. Shuman, Benjamin Ricaud, Pierre Vandergheynst:
Vertex-Frequency Analysis on Graphs. CoRR abs/1307.5708 (2013) - [i3]Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Hélène Lachambre, Darian M. Onchis:
An optimally concentrated Gabor transform for localized time-frequency components. CoRR abs/1310.8573 (2013) - 2012
- [c2]Hans Georg Feichtinger, Darian Onchis-Moaca, Benjamin Ricaud, Bruno Torrésani, Christoph Wiesmeyr:
A method for optimizing the ambiguity function concentration. EUSIPCO 2012: 804-808 - [c1]David I. Shuman, Benjamin Ricaud, Pierre Vandergheynst:
A windowed graph Fourier transform. SSP 2012: 133-136 - [i2]Benjamin Ricaud, Bruno Torrésani:
Refined support and entropic uncertainty inequalities. CoRR abs/1210.7711 (2012) - [i1]Benjamin Ricaud, Bruno Torrésani:
A survey of uncertainty principles and some signal processing applications. CoRR abs/1211.5914 (2012)
Coauthor Index
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