Jovita Lukasik

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Correlation Clustering

Inverse Problems

Multilayer Perceptron

Soft Constraints

Top Venues

Publications

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR (2024)
Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR (2024)
Steffen Jung, Jovita Lukasik, Margret Keuper
Neural Architecture Design and Robustness: A Dataset. ICLR (2023)
Jovita Lukasik, Michael Möller, Margret Keuper
An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. CoRR (2023)
Steffen Jung, Jovita Lukasik, Margret Keuper
Neural Architecture Design and Robustness: A Dataset. CoRR (2023)
Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. 2023 (2023)
Jovita Lukasik, Michael Moeller, Margret Keuper
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM (2023)
Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks. ICLR (2022)
Jovita Lukasik, Steffen Jung, Margret Keuper
Learning Where to Look - Generative NAS is Surprisingly Efficient. ECCV (23) (2022)
Jovita Lukasik, Steffen Jung, Margret Keuper
Learning Where To Look - Generative NAS is Surprisingly Efficient. CoRR (2022)
Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. CoRR (2021)
Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. IJCNN (2021)
Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR (2020)
Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR (2020)
Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. CoRR (2020)
Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony
A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC (2020)
Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR (2020)
David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR (2019)