Andreas Loukas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2008–2024
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Protein Discovery with Discrete Walk-Jump Sampling. | Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Htzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi |
| 2023 | ICML | Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. | Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas |
| 2023 | ICML | Towards Understanding and Improving GFlowNet Training. | Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani |
| 2022 | ICML | SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. | Karolis Martinkus, Andreas Loukas, Nathanal Perraudin, Roger Wattenhofer |
| 2021 | ICML | Attention is not all you need: pure attention loses rank doubly exponentially with depth. | Yihe Dong, Jean-Baptiste Cordonnier, Andreas Loukas |
| 2020 | AISTATS | Graph Coarsening with Preserved Spectral Properties. | Yu Jin, Andreas Loukas, Joseph F. JJ |
| 2020 | ICLR | On the Relationship between Self-Attention and Convolutional Layers. | Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi |
| 2020 | ICLR | What graph neural networks cannot learn: depth vs width. | Andreas Loukas |
| 2019 | IJCAI | Extrapolating Paths with Graph Neural Networks. | Jean-Baptiste Cordonnier, Andreas Loukas |
| 2018 | ICML | Spectrally Approximating Large Graphs with Smaller Graphs. | Andreas Loukas, Pierre Vandergheynst |
| 2018 | ICML | Fast Approximate Spectral Clustering for Dynamic Networks. | Lionel Martin, Andreas Loukas, Pierre Vandergheynst |
| 2017 | ACSSC | Predicting the evolution of stationary graph signals. | Andreas Loukas, Elvin Isufi, Nathanal Perraudin |
| 2017 | ICASSP | Autoregressive moving average graph filters a stable distributed implementation. | Elvin Isufi, Andreas Loukas, Geert Leus |
| 2017 | ICASSP | Learning time varying graphs. | Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard |
| 2017 | ICASSP | Towards stationary time-vertex signal processing. | Nathanal Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst |
| 2017 | ICDE | Spinner: Scalable Graph Partitioning in the Cloud. | Claudio Martella, Dionysios Logothetis, Andreas Loukas, Georgos Siganos |
| 2017 | ICML | How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? | Andreas Loukas |
| 2016 | SENSYS | Staffetta: Smart Duty-Cycling for Opportunistic Data Collection. | Marco Cattani, Andreas Loukas, Marco Zimmerling, Marco Zuniga, Koen Langendoen |
| 2014 | INFOCOM | How to identify global trends from local decisions? Event region detection on mobile networks. | Andreas Loukas, Marco Zuniga, Ioannis Protonotarios, Jie Gao |
| 2013 | MASS | Fairness for All, Rate Allocation for Mobile Wireless Networks. | Andreas Loukas, Matthias Woehrle, Marco Zuniga, Koen Langendoen |
| 2011 | ICSE | On mining sensor network software repositories. | Andreas Loukas, Matthias Woehrle, Koen Langendoen |
| 2008 | MASS | A software platform for developing multi-player pervasive games using small programmable object technologies. | Orestis Akribopoulos, Dimitrios Bousis, Dionysios Efstathiou, Haris Koutsouridis, Marios Logaras, Andreas Loukas, Alexandros Nafas, Georgios Oikonomou, Irini Thireou, Nikos Vasilakis, Panagiotis C. Kokkinos, Georgios Mylonas, Ioannis Chatzigiannakis |