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Jovita Lukasik
Jovita Lukasik
Verified email at informatik.uni-mannheim.de
Title
Cited by
Cited by
Year
Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
JN Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
1642020
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
arXiv preprint arXiv:2008.09777, 2020
482020
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
152021
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
112021
Neural architecture design and robustness: A dataset
S Jung, J Lukasik, M Keuper
arXiv preprint arXiv:2306.06712, 2023
82023
Learning where to look–generative nas is surprisingly efficient
J Lukasik, S Jung, M Keuper
European Conference on Computer Vision, 257-273, 2022
82022
A variational-sequential graph autoencoder for neural architecture performance prediction
D Friede, J Lukasik, H Stuckenschmidt, M Keuper
arXiv preprint arXiv:1912.05317, 2019
82019
NAS-Bench-301 and the case for surrogate benchmarks for neural architecture search.(2020)
J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777, 2020
52020
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
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
Implicit Representations for Image Segmentation
JP Schneider, M Fatima, J Lukasik, A Kolb, M Keuper, M Moeller
UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
2023
Improving Native CNN Robustness with Filter Frequency Regularization
J Lukasik, P Gavrikov, J Keuper, M Keuper
Transactions on Machine Learning Research, 2023
2023
Differentiable Architecture Search: a One-Shot Method?
J Lukasik, J Geiping, M Moeller, M Keuper
AutoML Conference 2023, 2023
2023
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
2023
Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search
J Lukasik
2023
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity
J Geiping, J Lukasik, M Keuper, M Moeller
arXiv preprint arXiv:2108.05647, 2021
2021
An Evaluation of Zero-Cost Proxies-from Neural Architecture Performance Prediction to Model Robustness
J Lukasik, M Moeller, M Keuper
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