On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. - Zahra Babaiee; Ramin M. Hasani; Mathias Lechner; Daniela Rus; Radu Grosu (ICML, 2021)

3D-OOCS: Learning Prostate Segmentation with Inductive Bias. - Shrajan Bhandary; Zahra Babaiee; Dejan Kostyszyn; Tobias Fechter; Constantinos Zamboglou; Anca L. Grosu; Radu Grosu (CoRR, 2021)

End-to-End Sensitivity-Based Filter Pruning. - Zahra Babaiee; Lucas Liebenwein; Ramin M. Hasani; Daniela Rus; Radu Grosu (CoRR, 2022)

Entangled Residual Mappings. - Mathias Lechner; Ramin M. Hasani; Zahra Babaiee; Radu Grosu; Daniela Rus; Thomas A. Henzinger; Sepp Hochreiter (CoRR, 2022)

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data. - Julian Lemmel; Zahra Babaiee; Marvin Kleinlehner; Ivan Majic; Philipp Neubauer; Johannes Scholz; Radu Grosu; Sophie A. Neubauer (CoRR, 2022)

Pruning by Active Attention Manipulation. - Zahra Babaiee; Lucas Liebenwein; Ramin M. Hasani; Daniela Rus; Radu Grosu (CoRR, 2022)

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels. - Shrajan Bhandary; Zahra Babaiee; Dejan Kostyszyn; Tobias Fechter; Constantinos Zamboglou; Anca-Ligia Grosu; Radu Grosu (CoRR, 2022)

Investigation and benchmarking of U-Nets on prostate segmentation tasks. - Shrajan Bhandary; Dejan Kuhn; Zahra Babaiee; Tobias Fechter; Matthias Benndorf; Constantinos Zamboglou; Anca-Ligia Grosu; Radu Grosu (Comput. Medical Imaging Graph., 2023)

Prediction of Tourism Flow with Sparse Geolocation Data. - Julian Lemmel; Zahra Babaiee; Marvin Kleinlehner; Ivan Majic; Philipp Neubauer; Johannes Scholz; Radu Grosu; Sophie A. Neubauer (CoRR, 2023)

Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. - Zahra Babaiee; Peyman M. Kiasari; Daniela Rus; Radu Grosu (ICLR, 2024)

Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. - Zahra Babaiee; Peyman M. Kiasari; Daniela Rus; Radu Grosu (WACV, 2024)

Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game. - Shrajan Bhandary; Dejan Kuhn; Zahra Babaiee; Tobias Fechter; Simon Spohn; Constantinos Zamboglou; Anca-Ligia Grosu; Radu Grosu (CoRR, 2024)

The Master Key Filters Hypothesis: Deep Filters Are General in DS-CNNs. - Zahra Babaiee; Peyman M. Kiasari; Daniela Rus; Radu Grosu (CoRR, 2024)

The Master Key Filters Hypothesis: Deep Filters Are General. - Zahra Babaiee; Peyman M. Kiasari; Daniela Rus; Radu Grosu (AAAI, 2025)

Scalable Offline Reinforcement Learning for Mean Field Games. - Axel Brunnbauer; Julian Lemmel; Zahra Babaiee; Sophie A. Neubauer; Radu Grosu (AAMAS, 2025)

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models. - Zahra Babaiee; Peyman M. Kiasari; Daniela Rus; Radu Grosu (CoRR, 2025)