Peer-reviewed Publications

Mónika Farsang and Radu Grosu. Liquid Capacitance-Extended Neural Circuits: Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models. Accepted in International Conference on Engineering for Life Sciences 2025.

Mónika Farsang, Sophie A. Neubauer and Radu Grosu. Liquid Resistance Liquid Capacitance Networks. Accepted in Design and Verification of Cyber-Physical Systems: From Theory to Applications, Springer. 2025.

Mónika Farsang, Mathias Lechner, David Lung, Ramin Hasani, Daniela Rus and Radu Grosu. Learning with Chemical versus Electrical Synapses - Does it Make a Difference? 2024 IEEE International Conference on Robotics and Automation (ICRA). 2024.

Mónika Farsang and Luca Szegletes. Controlling Agents by Constrained Policy Updates. System Theory, Control and Computing Journal. 2021.

Mónika Farsang and Luca Szegletes. Decaying Clipping Range in Proximal Policy Optimization. 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI). 2021.

Workshop Papers and Preprints

Felix Resch*, Mónika Farsang*, and Radu Grosu. MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following. Under conference review. Arxiv preprint. 2025.

Mihaela-Larisa Clement*, Mónika Farsang*, Felix Resch and Radu Grosu. Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents. Under conference review. Arxiv preprint. 2025.

Mihaela-Larisa Clement*, Mónika Farsang*, Felix Resch and Radu Grosu. Deploying RGB-D Multimodal Controllers on Resource-Constrained Platforms. Robot Software Architectures (RSA25) co-located with IEEE ICRA. 2025.

Mónika Farsang, Sophie A. Neubauer and Radu Grosu. Liquid Resistance Liquid Capacitance Networks. NeurIPS 2024 NeuroAI Workshop. 2024.

Mónika Farsang, Mathias Lechner, David Lung, Ramin Hasani, Daniela Rus and Radu Grosu. Learning with Chemical versus Electrical Synapses - Does it Make a Difference? ICRA 2024 Workshop on Bio-inspired Robotics and Robotics for Biology. 2024.

Mónika Farsang, Paul Mineiro and Wangda Zhang. Mitigating Tail Catastrophe in Steered Database Query Optimization with Risk-Averse Contextual Bandits. NeurIPS 2023 Workshop on Machine Learning for Systems. 2023.

Mónika Farsang, Paul Mineiro and Wangda Zhang. Conditionally Risk-Averse Contextual Bandits. Arxiv preprint. 2022.