Andreas Loukas
École Polytechnique Fédérale de Lausanne
H-index: 25
Europe-Switzerland
Top articles of Andreas Loukas
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Protein Discovery with Discrete Walk-Jump Sampling | Nathan C Frey Daniel Berenberg Karina Zadorozhny Joseph Kleinhenz Julien Lafrance-Vanasse | 2024 | |
Exploring "dark matter" protein folds using deep learning | bioRxiv | Zander Harteveld Alexandra Van Hall-Beauvais Irina Morozova Joshua Southern Casper Alexander Goverde | 2023 |
Towards Understanding and Improving GFlowNet Training | Max W Shen Emmanuel Bengio Ehsan Hajiramezanali Andreas Loukas Kyunghyun Cho | 2023 | |
Learning protein family manifolds with smoothed energy-based models | Nathan C Frey Dan Berenberg Joseph Kleinhenz Isidro Hotzel Julien Lafrance-Vanasse | 2023 | |
AbDiffuser: Full-Atom Generation of In-Vitro Functioning Antibodies | Karolis Martinkus Jan Ludwiczak Kyunghyun Cho Wei-Ching Liang Julien Lafrance-Vanasse | 2023/11/13 | |
Batched Predictors Generalize within Distribution | arXiv preprint arXiv:2307.09379 | Andreas Loukas Pan Kessel | 2023/7/18 |
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning | Mattia Atzeni Mrinmaya Sachan Andreas Loukas | 2023/6/5 | |
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control | arXiv preprint arXiv:2210.12192 | Max W Shen Ehsan Hajiramezanali Gabriele Scalia Alex Tseng Nathaniel Diamant | 2022/10/21 |
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences | NeurIPS 2022 - Workshop on AI for Science | Nataša Tagasovska Nathan C Frey Andreas Loukas Isidro Hötzel Julien Lafrance-Vanasse | 2022/10/19 |
Deep sharpening of topological features for de novo protein design | Zander Harteveld Joshua Southern Michaël Defferrard Andreas Loukas Pierre Vandergheynst | 2022/3/31 | |
RosettaSurf—A surface-centric computational design approach | PLOS Computational Biology | Andreas Scheck Stéphane Rosset Michaël Defferrard Andreas Loukas Jaume Bonet | 2022/3/16 |
On the generalization of learning algorithms that do not converge | Nisha Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka | 2022/10/31 | |
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators | Karolis Martinkus Andreas Loukas Nathanaël Perraudin Roger Wattenhofer | 2022 | |
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions | Nikolaos Karalias Joshua Robinson Andreas Loukas Stefanie Jegelka | 2022/10/31 | |
SQALER: Scaling question answering by decoupling multi-hop and logical reasoning | Advances in Neural Information Processing Systems | Mattia Atzeni Jasmina Bogojeska Andreas Loukas | 2021/12/6 |
Partition and Code: learning how to compress graphs | Advances in Neural Information Processing Systems | Giorgos Bouritsas Andreas Loukas Nikolaos Karalias Michael Bronstein | 2021/12/6 |
Neural Extensions: Training Neural Networks with Set Functions | Nikolaos Karalias Joshua David Robinson Andreas Loukas Stefanie Jegelka | 2021/10/6 | |
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth | ICML 2021 | Yihe Dong Jean-Baptiste Cordonnier Andreas Loukas | 2021/3/5 |
What training reveals about neural network complexity | Andreas Loukas Marinos Poiitis Stefanie Jegelka | 2021 | |
How hard is to distinguish graphs with graph neural networks? | Andreas Loukas | 2020 |
Co-Authors
