Monika Farsang
Projektass.(FWF) / MSc
Role
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PreDoc Researcher
Cyber-Physical Systems, E191-01
Publications
- Liquid Capacitance-Extended Neural Circuits: Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models / Farsang, M., & Grosu, R. (2025). Liquid Capacitance-Extended Neural Circuits: Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models. In International Conference on Engineering for Life Sciences : ENROL 2025 : Book of Abstracts (pp. 15–15). http://hdl.handle.net/20.500.12708/222456
- Liquid Resistance Liquid Capacitance Networks / Farsang, M., Neubauer, S., & Grosu, R. (2024, December 14). Liquid Resistance Liquid Capacitance Networks [Poster Presentation]. NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions (NeuroAI @ NeurIPS2024), Canada.
- Learning with Chemical versus Electrical Synapses Does it Make a Difference? / Farsang, M., Lechner, M., Lung, D., Hasani, R., Rus, D., & Grosu, R. (2024). Learning with Chemical versus Electrical Synapses Does it Make a Difference? In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 15106–15112). https://doi.org/10.1109/ICRA57147.2024.10611016
Supervisions
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Multimodal RGB-D autonomous agents steered by deep neural networks
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Clement, M.-L. (2025). Multimodal RGB-D autonomous agents steered by deep neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.129104
Download: PDF (3.53 MB) -
Modeling system dynamics In partially-observable environments using biologically-inspired recurrent neural networks
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Stanusoiu, M.-T. (2025). Modeling system dynamics In partially-observable environments using biologically-inspired recurrent neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.129105
Download: PDF (3.49 MB)