Artigos com autorizações de acesso público - Andreas LoukasSaiba mais
Disponíveis em algum local: 20
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
Autorizações: Swiss National Science Foundation
Graph Reduction with Spectral and Cut Guarantees
A Loukas
Journal of Machine Learning Research 20 (116), 1-42, 2019
Autorizações: Swiss National Science Foundation
Building powerful and equivariant graph neural networks with structural message-passing
C Vignac, A Loukas, P Frossard
Neural Information Processing Systems (NeurIPS), 2020
Autorizações: Swiss National Science Foundation
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
N Karalias, A Loukas
Neural Information Processing Systems (NeurIPS), 2020
Autorizações: Swiss National Science Foundation
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
Autorizações: Swiss National Science Foundation
Approximating spectral clustering via sampling: a review
N Tremblay, A Loukas
Sampling Techniques for Supervised or Unsupervised Tasks, 129-183, 2020
Autorizações: Swiss National Science Foundation
Stationary time-vertex signal processing
A Loukas, N Perraudin
EURASIP Journal on Advances in Signal Processing 36, 2019
Autorizações: Swiss National Science Foundation
Towards stationary time-vertex signal processing
N Perraudin, A Loukas, F Grassi, P Vandergheynst
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2017
Autorizações: Swiss National Science Foundation
How hard is to distinguish graphs with graph neural networks?
A Loukas
Neural Information Processing Systems (NeurIPS), 2020
Autorizações: Swiss National Science Foundation
rDAN: Toward robust demand-aware network designs
C Avin, A Hercules, A Loukas, S Schmid
Information Processing Letters, 2018
Autorizações: Federal Ministry of Education and Research, Germany
Dynamic Balanced Graph Partitioning
C Avin, M Bienkowski, A Loukas, M Pacut, S Schmid
SIAM Journal on Discrete Mathematics, 2020
Autorizações: Federal Ministry of Education and Research, Germany
Partition and Code: learning how to compress graphs
G Bouritsas, A Loukas, N Karalias, M Bronstein
Advances in Neural Information Processing Systems 34, 18603-18619, 2021
Autorizações: Swiss National Science Foundation, European Commission, Royal Society UK
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
Autorizações: German Research Foundation
SQALER: Scaling question answering by decoupling multi-hop and logical reasoning
M Atzeni, J Bogojeska, A Loukas
Advances in Neural Information Processing Systems 34, 12587-12599, 2021
Autorizações: Swiss National Science Foundation
On the generalization of learning algorithms that do not converge
N Chandramoorthy, A Loukas, K Gatmiry, S Jegelka
NeurIPS 2022, 2022
Autorizações: US National Science Foundation, US Department of Defense
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
N Karalias, J Robinson, A Loukas, S Jegelka
NeurIPS 2022, 2022
Autorizações: US National Science Foundation, Swiss National Science Foundation
RosettaSurf—A surface-centric computational design approach
A Scheck, S Rosset, M Defferrard, A Loukas, J Bonet, P Vandergheynst, ...
PLOS Computational Biology 18 (3), e1009178, 2022
Autorizações: Swiss National Science Foundation, European Commission
What training reveals about neural network complexity
A Loukas, M Poiitis, S Jegelka
Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
Autorizações: US National Science Foundation, Swiss National Science Foundation
Deep sharpening of topological features for de novo protein design
Z Harteveld, J Southern, M Defferrard, A Loukas, P Vandergheynst, ...
ICLR2022 Machine Learning for Drug Discovery, 2022
Autorizações: Swiss National Science Foundation, European Commission, UK Research & Innovation
Exploring "dark matter" protein folds using deep learning
Z Harteveld, A Van Hall-Beauvais, I Morozova, J Southern, CA Goverde, ...
Cell Systems, 2024
Autorizações: European Commission, UK Research & Innovation
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