متابعة
Andreas Loukas
Andreas Loukas
Isomorphic Labs ex: Prescient Design/Roche, EPFL, TU Delft
بريد إلكتروني تم التحقق منه على isomorphiclabs.com
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
On the Relationship between Self-Attention and Convolutional Layers‏
JB Cordonnier, A Loukas, M Jaggi‏
International Conference on Learning Representations (ICLR), 2020‏
7292020
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth‏
Y Dong, JB Cordonnier, A Loukas‏
International Conference on Machine Learning (ICML), 2021‏
4432021
What graph neural networks cannot learn: depth vs width‏
A Loukas‏
International Conference on Learning Representations (ICLR), 2020‏
3402020
Autoregressive Moving Average Graph Filtering‏
E Isufi*, A Loukas*, A Simonetto, G Leus‏
IEEE Transactions on Signal Processing 65 (2), 274-288, 2016‏
2942016
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
2012018
Graph Reduction with Spectral and Cut Guarantees‏
A Loukas‏
Journal of Machine Learning Research 20 (116), 1-42, 2019‏
1912019
Building powerful and equivariant graph neural networks with structural message-passing‏
C Vignac, A Loukas, P Frossard‏
Neural Information Processing Systems (NeurIPS), 2020‏
1602020
Multi-Head Attention: Collaborate Instead of Concatenate‏
JB Cordonnier, A Loukas, M Jaggi‏
arXiv preprint arXiv:2006.16362, 2020‏
1592020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs‏
N Karalias, A Loukas‏
Neural Information Processing Systems (NeurIPS), 2020‏
1442020
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
1342019
Spectrally approximating large graphs with smaller graphs‏
A Loukas, P Vandergheynst‏
Interenational Conference on Machine Learning (ICML), 2018‏
1322018
Distributed Autoregressive Moving Average Graph Filters‏
A Loukas, A Simonetto, G Leus‏
Signal Processing Letters 22 (11), 1931 - 1935, 2015‏
1292015
Spinner: Scalable Graph Partitioning in the Cloud‏
C Martella, D Logothetis, A Loukas, G Siganos‏
International Conference on Data Engineering (ICDE), 2017‏
1122017
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
1042017
Learning Time-Varying Graphs‏
V Kalofolias, A Loukas, D Thanou, P Frossard‏
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017‏
1012017
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators‏
K Martinkus, A Loukas, N Perraudin, R Wattenhofer‏
International Conference on Machine Learning (ICML), 2022‏
822022
Graph coarsening with preserved spectral properties‏
Y Jin, A Loukas, J JaJa‏
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020‏
802020
Frequency analysis of time-varying graph signals‏
A Loukas, D Foucard‏
Global Conference on Signal and Information Processing (GlobalSIP), 346-350, 2016‏
79*2016
Approximating spectral clustering via sampling: a review‏
N Tremblay, A Loukas‏
Sampling Techniques for Supervised or Unsupervised Tasks, 129-183, 2020‏
662020
Stationary time-vertex signal processing‏
A Loukas, N Perraudin‏
EURASIP Journal on Advances in Signal Processing 36, 2019‏
642019
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مقالات 1–20