Mónika Farsang

According to our database, Mónika Farsang authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification.

Mónika Farsang, Ramin M. Hasani, Daniela Rus, Radu Grosu

CoRR, May, 2026

Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling.

Mihaela-Larisa Clement, Mónika Farsang, Agnes Poks, Johannes Edelmann, Manfred Plöchl, Radu Grosu, Ezio Bartocci

CoRR, March, 2026

Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling.

Fatemeh Valeh, Mónika Farsang, Radu Grosu, Gerhard Schütz

CoRR, March, 2026

Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models.

Mónika Farsang, Radu Grosu

CoRR, February, 2026

Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL.

Julian Lemmel, Felix Resch, Mónika Farsang, Ramin M. Hasani, Daniela Rus, Radu Grosu

CoRR, February, 2026

2025

Differential Gated Self-Attention.

Elpiniki Maria Lygizou, Mónika Farsang, Radu Grosu

CoRR, May, 2025

Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling.

Mónika Farsang, Ramin M. Hasani, Radu Grosu

CoRR, May, 2025

Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents.

Mihaela-Larisa Clement, Mónika Farsang, Felix Resch, Radu Grosu

CoRR, March, 2025

Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling.

Mónika Farsang, Radu Grosu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

MMDVS-LF: A Multi-Modal Dynamic-Vision-Sensor Line Following Dataset.

Felix Resch, Mónika Farsang, Radu Grosu

CoRR, 2024

Gated Chemical Units.

Mónika Farsang, Radu Grosu

CoRR, 2024

Learning with Chemical versus Electrical Synapses Does it Make a Difference?

Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

Conditionally Risk-Averse Contextual Bandits.

Mónika Farsang, Paul Mineiro, Wangda Zhang

CoRR, 2022

2021

Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment.

Mónika Farsang, Luca Szegletes

CoRR, 2021

Decaying Clipping Range in Proximal Policy Optimization.

Mónika Farsang, Luca Szegletes

Proceedings of the 15th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2021