Jovita Lukasik

28 papers A* 5B 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Layered Quantum Architecture Search for 3D Point Cloud Classification. CoRR Natacha Kuete Meli, Jovita Lukasik, Vladislav Golyanik, Michael Möller
2025	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. Int. J. Comput. Vis. Jovita Lukasik, Michael Möller, Margret Keuper
2025	A*	`conf`	Can We Talk Models Into Seeing the World Differently? ICLR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2025	J	`jnl`	ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures. CoRR Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Möller, Linus Ericsson, Jovita Lukasik
2025	J	`jnl`	Smooth Model Compression without Fine-Tuning. CoRR Christina Runkel, Natacha Kuete Meli, Jovita Lukasik, Ander Biguri, Carola-Bibiane Schönlieb, Michael Möller
2025	—	`conf`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. AutoML Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025	J	`jnl`	Transferrable Surrogates in Expressive Neural Architecture Search Spaces. CoRR Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2024	J	`jnl`	Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2024	A*	`conf`	Implicit Representations for Constrained Image Segmentation. ICML Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller
2024	A*	`conf`	Surprisingly Strong Performance Prediction with Neural Graph Features. ICML Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2024	J	`jnl`	Surprisingly Strong Performance Prediction with Neural Graph Features. CoRR Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, Frank Hutter
2023	—	`conf`	An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM Jovita Lukasik, Michael Moeller, Margret Keuper
2023	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. CoRR Jovita Lukasik, Michael Möller, Margret Keuper
2023	J	`jnl`	Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
2023	A*	`conf`	Neural Architecture Design and Robustness: A Dataset. ICLR Steffen Jung, Jovita Lukasik, Margret Keuper
2023	J	`jnl`	Neural Architecture Design and Robustness: A Dataset. CoRR Steffen Jung, Jovita Lukasik, Margret Keuper
2023	—	`—`	Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search. Jovita Lukasik
2022	J	`jnl`	Learning Where To Look - Generative NAS is Surprisingly Efficient. CoRR Jovita Lukasik, Steffen Jung, Margret Keuper
2022	—	`conf`	Learning Where to Look - Generative NAS is Surprisingly Efficient. ECCV (23) Jovita Lukasik, Steffen Jung, Margret Keuper
2022	A*	`conf`	Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks. ICLR Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
2021	J	`jnl`	DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. CoRR Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller
2021	B	`conf`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. IJCNN Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper
2020	—	`conf`	A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony
2020	J	`jnl`	NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. CoRR Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter
2020	—	`conf`	Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	J	`jnl`	Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper
2020	J	`jnl`	Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
2019	J	`jnl`	A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper