Grosu, Radu

19 publications

MIDL 2026 Learning Robust Medical Image Segmentation with Inductive Bias Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Anca-Ligia Grosu, Radu Grosu

ICLR 2026 Relative Entropy Pathwise Policy Optimization Claas A Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Radu Grosu, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski

NeurIPS 2025 Parallelization of Non-Linear State-Space Models: Scaling up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling Mónika Farsang, Radu Grosu

AAAI 2025 Real-Time Recurrent Reinforcement Learning Julian Lemmel, Radu Grosu

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

NeurIPS 2025 The Quest for Universal Master Key Filters in DS-CNNs Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu

ICML 2025 Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu

NeurIPSW 2024 Liquid Resistance Liquid Capacitance Networks Mónika Farsang, Sophie A. Neubauer, Radu Grosu

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

NeurIPSW 2024 The Master Key Filters Hypothesis: Deep Filters Are General Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu

ICLR 2024 Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu

NeurIPSW 2024 We Need Far Fewer Unique Filters than We Thought Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu

AAAI 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu

AAAI 2021 Liquid Time-Constant Networks Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

AAAI 2021 On the Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu

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

ICML 2020 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

AAAI 2019 A Machine Learning Suite for Machine Components' Health-Monitoring Ramin M. Hasani, Guodong Wang, Radu Grosu

NeurIPS 2018 Dynamic Network Model from Partial Observations Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec