Follow
Karolis Martinkus
Karolis Martinkus
Senior ML Scientist, Prescient Design, Genentech, Roche
Verified email at roche.com - Homepage
Title
Cited by
Cited by
Year
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
1652021
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
712022
Diffusion models for graphs benefit from discrete state spaces
KK Haefeli, K Martinkus, N Perraudin, R Wattenhofer
The First Learning on Graphs Conference, 2023
562023
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
392023
Agent-based graph neural networks
K Martinkus, PA Papp, B Schesch, R Wattenhofer
The Eleventh International Conference on Learning Representations, 2023
152023
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
14*2024
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
142022
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
112024
Scalable Graph Networks for Particle Simulations
K Martinkus, A Lucchi, N Perraudin
Proceedings of the AAAI Conference on Artificial Intelligence 35, 8912--8920, 2021
92021
Automating Rigid Origami Design
J Geiger, K Martinkus, O Richter, R Wattenhofer
Proceedings of the Thirty-Second International Joint Conference on …, 2023
12023
Discovering Graph Generation Algorithms
M Babiac, K Martinkus, R Wattenhofer
Neurosymbolic Generative Models Workshop (NeSy-GeMs) at ICLR 2023, 2023
12023
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
12021
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
The system can't perform the operation now. Try again later.
Articles 1–13