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Jovita Lukasik
Jovita Lukasik
Dirección de correo verificada de uni-siegen.de
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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
253*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
222021
Learning where to look–generative nas is surprisingly efficient
J Lukasik*, S Jung*, M Keuper
European Conference on Computer Vision, 257-273, 2022
152022
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
132021
Neural architecture design and robustness: A dataset
S Jung*, J Lukasik*, M Keuper
International Conference on Learning Representations (ICLR), 2023
112023
A variational-sequential graph autoencoder for neural architecture performance prediction
D Friede, J Lukasik, H Stuckenschmidt, M Keuper
arXiv preprint arXiv:1912.05317, 2019
92019
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
82024
Improving Native CNN Robustness with Filter Frequency Regularization
J Lukasik*, P Gavrikov*, J Keuper, M Keuper
Transactions on Machine Learning Research, 2023
82023
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
22024
Implicit Representations for Constrained Image Segmentation
JP Schneider, M Fatima, J Lukasik, A Kolb, M Keuper, M Moeller
Forty-first International Conference on Machine Learning, 2024
22024
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
22020
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
12023
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
12021
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
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