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
1742016
On the Relationship between Self-Attention and Convolutional Layers
JB Cordonnier, A Loukas, M Jaggi
International Conference on Learning Representations (ICLR), 2020
862020
Distributed Autoregressive Moving Average Graph Filters
A Loukas, A Simonetto, G Leus
Signal Processing Letters 22 (11), 1931 - 1935, 2015
812015
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
802018
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
Spinner: Scalable Graph Partitioning in the Cloud
C Martella, D Logothetis, A Loukas, G Siganos
International Conference on Data Engineering (ICDE), 2017
632017
What graph neural networks cannot learn: depth vs width
A Loukas
International Conference on Learning Representations (ICLR), 2020
592020
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
432019
Learning Time-Varying Graphs
V Kalofolias, A Loukas, D Thanou, P Frossard
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
422017
Spectrally approximating large graphs with smaller graphs
A Loukas, P Vandergheynst
Interenational Conference on Machine Learning (ICML), 2018
412018
Frequency analysis of time-varying graph signals
A Loukas, D Foucard
Global Conference on Signal and Information Processing (GlobalSIP), 346-350, 2016
39*2016
Separable autoregressive moving average graph-temporal filters
E Isufi, A Loukas, A Simonetto, G Leus
European Signal Processing Conference (EUSIPCO), 200-204, 2016
272016
Stationary time-vertex signal processing
A Loukas, N Perraudin
EURASIP Journal on Advances in Signal Processing 36, 2019
262019
rDAN: Toward robust demand-aware network designs
C Avin, A Hercules, A Loukas, S Schmid
Information Processing Letters, 2018
26*2018
Graph Reduction with Spectral and Cut Guarantees
A Loukas
Journal of Machine Learning Research 20 (116), 1-42, 2019
252019
Towards stationary time-vertex signal processing
N Perraudin, A Loukas, F Grassi, P Vandergheynst
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2017
252017
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
192016
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
Think Globally, Act Locally: On the Reshaping of Information Landscapes
A Loukas, M Zuniga, M Woehrle, MCK Langendoen
Information Processing in Sensor Networks (IPSN), 2013
172013
The system can't perform the operation now. Try again later.
Articles 1–20