M.Sc. Jovita Lukasik

Address:

Universität Siegen
Lehrstuhl für Visual Computing
57068 Siegen

funded by the BMBF (Federal Ministry of Education and Research) in the project DeToL – Deep Topology Learning.

Publications

J. Siems, L. Zimmer, A. Zela, J. Lukasik, M. Keuper and F. Hutter, NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search, ICLR, 2022.
J Geiping, J Lukasik, M Keuper, M Moeller, DARTS for Inverse Problems: a Study on Sensitivity, NeurIPS workshop on Inverse Problems, 2021.
J Lukasik, D Friede, A Zela, F Hutter, M Keuper, Smooth variational graph embeddings for efficient neural architecture search, IJCNN 2021.
J Lukasik, M Keuper, M Singh, J Yarkony, A Benders Decomposition Approach to Correlation Clustering, 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing at SC20.
J Lukasik, D Friede, H Stuckenschmidt, M Keuper, Neural Architecture Performance Prediction Using Graph Neural Networks, DAGM German Conference on Pattern Recognition, 188-201, 2020.

News