Andreas Loukas
Title
Cited by
Cited by
Year
Autoregressive Moving Average Graph Filtering
E Isufi*, A Loukas*, A Simonetto, G Leus
IEEE Transactions on Signal Processing 65 (2), 274-288, 2016
1762016
On the Relationship between Self-Attention and Convolutional Layers
JB Cordonnier, A Loukas, M Jaggi
International Conference on Learning Representations (ICLR), 2020
962020
Distributed Autoregressive Moving Average Graph Filters
A Loukas, A Simonetto, G Leus
Signal Processing Letters 22 (11), 1931 - 1935, 2015
832015
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
F Grassi, A Loukas, N Perraudin, B Ricaud
Transactions on Signal Processing 66 (3), 817-829, 2018
812018
Spinner: Scalable Graph Partitioning in the Cloud
C Martella, D Logothetis, A Loukas, G Siganos
International Conference on Data Engineering (ICDE), 2017
662017
What graph neural networks cannot learn: depth vs width
A Loukas
International Conference on Learning Representations (ICLR), 2020
642020
Filtering Random Graph Processes Over Random Time-Varying Graphs
E Isufi, A Loukas, A Simonetto, G Leus
IEEE Transactions on Signal Processing 65 (16), 4406-4421, 2017
632017
Forecasting time series with varma recursions on graphs
E Isufi, A Loukas, N Perraudin, G Leus
IEEE Transactions on Signal Processing 67 (18), 4870-4885, 2019
442019
Learning Time-Varying Graphs
V Kalofolias, A Loukas, D Thanou, P Frossard
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
442017
Spectrally approximating large graphs with smaller graphs
A Loukas, P Vandergheynst
Interenational Conference on Machine Learning (ICML), 2018
422018
Frequency analysis of time-varying graph signals
A Loukas, D Foucard
Global Conference on Signal and Information Processing (GlobalSIP), 346-350, 2016
39*2016
Towards stationary time-vertex signal processing
N Perraudin, A Loukas, F Grassi, P Vandergheynst
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2017
272017
Stationary time-vertex signal processing
A Loukas, N Perraudin
EURASIP Journal on Advances in Signal Processing 36, 2019
262019
Graph Reduction with Spectral and Cut Guarantees
A Loukas
Journal of Machine Learning Research 20 (116), 1-42, 2019
262019
Separable autoregressive moving average graph-temporal filters
E Isufi, A Loukas, A Simonetto, G Leus
European Signal Processing Conference (EUSIPCO), 200-204, 2016
262016
rDAN: Toward robust demand-aware network designs
C Avin, A Hercules, A Loukas, S Schmid
Information Processing Letters, 2018
25*2018
Lightweight neighborhood cardinality estimation in dynamic wireless networks
M Cattani, M Zuniga, A Loukas, K Langendoen
Information Processing in Sensor Networks (IPSN), 179-189, 2014
252014
Staffetta: Smart Duty-Cycling for Opportunistic Data Collection
M Cattani, A Loukas, M Zimmerling, M Zuniga, K Langendoen
Conference on Embedded Networked Sensor Systems (SenSys 2016) 281, 179-193, 2016
182016
How to identify global trends from local decisions? Event Region Detection on Mobile Networks
A Loukas, M Zuniga, I Protonotarios, J Gao
Proceedings of the Conference on Computer Communications (INFOCOM), 1177-1185, 2014
182014
Online balanced repartitioning
C Avin, A Loukas, M Pacut, S Schmid
International Symposium on Distributed Computing (DISC), 243-256, 2016
172016
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Articles 1–20