I work as a postdoctoral researcher in the Computer Vision group supervised by Prof. Dr. Michael Moeller at the University of Siegen since April 2023. Previously, I was a Ph.D. candidate supervised by Prof Dr.-Ing. Margret Keuper in the Computer Vision and Machine Learning group at the Max-Planck-Institute for Informatics and in the focus group of Computer Vision in the Data and Web Science Group at the University of Mannheim.

Together with Aaron Klein, Arber Zela, Giovanni Zappella and Rhea Sukthanker I also organize the AutoML Seminars as part of the ELLIS units Berlin and Freiburg. I was part of the organization team of the second workshop on neural architecture search @ ICLR 2021.

My research mainly focuses on efficient, unsupervised graph representations and embeddings for supervised surrogate models for neural architecture search.



Improving Native CNN Robustness with Filter Frequency Regularization
J. Lukasik*, P. Gavrikov*, J.Keuper, M. Keuper
TMLR 2023

Implicit Representations for Image Segmentation
J. P. Schneider, M. Fatima, J. Lukasik, A. Kolb, M. Keuper, M. Moeller
Unireps@NeurIPS 2023

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness
J. Lukasik, M. Moeller, M. Keuper
GCPR 2023 (oral)

Differentiable Architecture Search: a One-Shot Method?
J. Lukasik*, J. Geiping*, M. Moeller, M. Keuper
AutoML Conference 2023 Workshops

Neural Architecture Design and Robustness: A Dataset
S. Jung*, J. Lukasik*, M. Keuper
ICLR 2023
Website | PDF | Code

Learning Where to Look - Generative NAS is Surprisingly Efficient
J. Lukasik* , S. Jung*, M. Keuper
ECCV 2022
PDF | Code | Poster

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
ICLR 2022

DARTS for Inverse Problems: a Study on Sensitivity
J. Geiping*, J. Lukasik*, M. Keuper, M. Moeller
NeurIPS workshop on Inverse Problems 2021
PDF | Poster

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
J. Lukasik, D. Friede, A. Zela, F. Hutter, M. Keuper
IJCNN 2021
PDF | Code

Neural Architecture Performance Prediction Using Graph Neural Networks
J. Lukasik, D. Friede, H. Stuckenschmidt, M. Keuper
GCPR 2020