| Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks A Zela, J Siems, L Zimmer, J Lukasik, M Keuper, F Hutter International Conference on Learning Representations (ICLR), 2020 | 270* | 2020 |
| Smooth variational graph embeddings for efficient neural architecture search J Lukasik, D Friede, A Zela, F Hutter, M Keuper 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 24 | 2021 |
| Neural architecture design and robustness: A dataset S Jung*, J Lukasik*, M Keuper International Conference on Learning Representations (ICLR), 2023 | 19 | 2023 |
| Learning where to look–generative nas is surprisingly efficient J Lukasik*, S Jung*, M Keuper European Conference on Computer Vision, 257-273, 2022 | 18 | 2022 |
| Improving Native CNN Robustness with Filter Frequency Regularization J Lukasik*, P Gavrikov*, J Keuper, M Keuper Transactions on Machine Learning Research, 2023 | 14 | 2023 |
| Neural architecture performance prediction using graph neural networks J Lukasik, D Friede, H Stuckenschmidt, M Keuper Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 13 | 2021 |
| Are Vision Language Models Texture or Shape Biased and Can We Steer Them? P Gavrikov, J Lukasik, S Jung, R Geirhos, B Lamm, MJ Mirza, M Keuper, ... arXiv preprint arXiv:2403.09193, 2024 | 11 | 2024 |
| A variational-sequential graph autoencoder for neural architecture performance prediction D Friede, J Lukasik, H Stuckenschmidt, M Keuper arXiv preprint arXiv:1912.05317, 2019 | 10 | 2019 |
| An evaluation of zero-cost proxies-from neural architecture performance prediction to model robustness J Lukasik, M Moeller, M Keuper International Journal of Computer Vision, 1-18, 2024 | 3 | 2024 |
| Surprisingly strong performance prediction with neural graph features G Kadlecová, J Lukasik, M Pilát, P Vidnerová, M Safari, R Neruda, ... arXiv preprint arXiv:2404.16551, 2024 | 2 | 2024 |
| Implicit representations for constrained image segmentation JP Schneider, M Fatima, J Lukasik, A Kolb, M Keuper, M Moeller 41at International Conference on Machine Learning, 43765-43790, 2024 | 2 | 2024 |
| A benders decomposition approach to correlation clustering J Lukasik, M Keuper, M Singh, J Yarkony 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020 | 2 | 2020 |
| DARTS for inverse problems: A study on stability J Geiping, J Lukasik, M Keuper, M Moeller NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 1 | 2021 |
| Differentiable Architecture Search: a One-Shot Method? J Lukasik, J Geiping, M Moeller, M Keuper International Conference on Automated Machine Learning, 1-18, 2023 | | 2023 |
| Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search J Lukasik | | 2023 |
| Implicit Representations for Image Segmentation JP Schneider, F Mishal, J Lukasik, A Kolb, M Keuper, M Moeller First Workshop on Unifying Representations in Neural Models, 1-6, 2022 | | 2022 |
| Is Differentiable Architecture Search truly a One-Shot Method? J Geiping, J Lukasik, M Keuper, M Moeller arXiv preprint arXiv:2108.05647, 2021 | | 2021 |
| Prediction Using Graph Neural Networks J Lukasik Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | | 2021 |
| Can We Talk Models Into Seeing the World Differently? P Gavrikov, J Lukasik, S Jung, R Geirhos, MJ Mirza, M Keuper, J Keuper The Thirteenth International Conference on Learning Representations, 0 | | |
Margret KeuperUniversity of MannheimПодтвержден адрес электронной почты в домене uni-mannheim.de