Jovita Lukasik

According to our database, Jovita Lukasik authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

CoRR, 2024

2023

Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search.

Jovita Lukasik

PhD thesis, 2023

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness.

Jovita Lukasik, Michael Möller, Margret Keuper

CoRR, 2023

Neural Architecture Design and Robustness: A Dataset.

Steffen Jung, Jovita Lukasik, Margret Keuper

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness.

Jovita Lukasik, Michael Moeller, Margret Keuper

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.

Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Where to Look - Generative NAS is Surprisingly Efficient.

Jovita Lukasik, Steffen Jung, Margret Keuper

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity.

Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller

CoRR, 2021

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper

CoRR, 2020

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.

Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter

CoRR, 2020

A Benders Decomposition Approach to Correlation Clustering.

Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Neural Architecture Performance Prediction Using Graph Neural Networks.

Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction.

David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper

CoRR, 2019