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 | 216* | 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 | 18 | 2021 |
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 |
Learning where to look–generative nas is surprisingly efficient J Lukasik*, S Jung*, M Keuper European Conference on Computer Vision, 257-273, 2022 | 11 | 2022 |
Neural architecture design and robustness: A dataset S Jung*, J Lukasik*, M Keuper International Conference on Learning Representations (ICLR), 2023 | 9 | 2023 |
A variational-sequential graph autoencoder for neural architecture performance prediction D Friede, J Lukasik, H Stuckenschmidt, M Keuper arXiv preprint arXiv:1912.05317, 2019 | 8 | 2019 |
Improving Native CNN Robustness with Filter Frequency Regularization J Lukasik*, P Gavrikov*, J Keuper, M Keuper Transactions on Machine Learning Research, 2023 | 2 | 2023 |
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 |
An Evaluation of Zero-Cost Proxies--from Neural Architecture Performance to Model Robustness J Lukasik, M Moeller, M Keuper arXiv preprint arXiv:2307.09365, 2023 | 1 | 2023 |
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 |
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 | | 2024 |
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 | | 2024 |
An Evaluation of Zero-Cost Proxies-From Neural Architecture Performance Prediction to Model Robustness J Lukasik, M Moeller, M Keuper DAGM German Conference on Pattern Recognition, 624-638, 2023 | | 2023 |
Differentiable Architecture Search: a One-Shot Method? J Lukasik, J Geiping, M Moeller, M Keuper AutoML Conference 2023, 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 |
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. J Geiping, J Lukasik, M Keuper, M Moeller arXiv preprint arXiv:2108.05647, 2021 | | 2021 |