Jovita Lukasik
Jovita Lukasik
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Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777, 2020
Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks
A Zela, JN Siems, L Zimmer, J Lukasik, M Keuper, F Hutter
Tenth International Conference on Learning Representations, 1-36, 2022
Neural architecture performance prediction using graph neural networks
J Lukasik, D Friede, H Stuckenschmidt, M Keuper
DAGM German Conference on Pattern Recognition, 188-201, 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
A variational-sequential graph autoencoder for neural architecture performance prediction
D Friede, J Lukasik, H Stuckenschmidt, M Keuper
arXiv preprint arXiv:1912.05317, 2019
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
Learning Where To Look--Generative NAS is Surprisingly Efficient
J Lukasik, S Jung, M Keuper
arXiv preprint arXiv:2203.08734, 2022
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity
J Geiping, J Lukasik, M Keuper, M Moeller
arXiv preprint arXiv:2108.05647, 2021
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
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