| DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks PA Papp, K Martinkus, L Faber, R Wattenhofer Advances in Neural Information Processing Systems 34, 2021 | 171 | 2021 |
| SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators K Martinkus, A Loukas, N Perraudin, R Wattenhofer 39th International Conference on Machine Learning (ICML 2022), 2022 | 74 | 2022 |
| Diffusion models for graphs benefit from discrete state spaces KK Haefeli, K Martinkus, N Perraudin, R Wattenhofer The First Learning on Graphs Conference, 2023 | 60 | 2023 |
| AbDiffuser: full-atom generation of in-vitro functioning antibodies K Martinkus, J Ludwiczak, WEIC LIANG, J Lafrance-Vanasse, I Hotzel, ... Advances in Neural Information Processing Systems 36, 2023 | 40 | 2023 |
| Agent-based graph neural networks K Martinkus, PA Papp, B Schesch, R Wattenhofer The Eleventh International Conference on Learning Representations, 2023 | 16 | 2023 |
| On Isotropy Calibration of Transformers Y Ding, K Martinkus, D Pascual, S Clematide, R Wattenhofer Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022 | 16 | 2022 |
| GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks P Müller, L Faber, K Martinkus, R Wattenhofer The Twelfth International Conference on Learning Representations, 2024 | 15* | 2024 |
| Efficient and Scalable Graph Generation through Iterative Local Expansion A Bergmeister, K Martinkus, N Perraudin, R Wattenhofer The Twelfth International Conference on Learning Representations, 2024 | 13 | 2024 |
| Scalable Graph Networks for Particle Simulations K Martinkus, A Lucchi, N Perraudin Proceedings of the AAAI Conference on Artificial Intelligence 35, 8912--8920, 2021 | 10 | 2021 |
| Automating Rigid Origami Design J Geiger, K Martinkus, O Richter, R Wattenhofer Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 3 | 2023 |
| Discovering Graph Generation Algorithms M Babiac, K Martinkus, R Wattenhofer Neurosymbolic Generative Models Workshop (NeSy-GeMs) at ICLR 2023, 2023 | 1 | 2023 |
| I Know Where You Are Going: Predicting Flight Destinations of Corporate and State Aircraft M Jourdan, K Martinkus, D Roschewitz, M Strohmeier Engineering Proceedings 13 (1), 1, 2021 | 1 | 2021 |
| Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing A Loukas, K Martinkus, E Wagstaff, K Cho arXiv preprint arXiv:2410.05980, 2024 | | 2024 |
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