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eess.SY2026
A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures
Ganesh Sundaram, Tobias Gehra, Jonas Ulmen +3
Accurately modeling and controlling vehicle exhaust emissions during transient events, such as rapid acceleration, is critical for meeting environmental regulations and optimizing…
eess.SY2024
State Derivative Normalization for Continuous-Time Deep Neural Networks
Jonas Weigand, Gerben I. Beintema, Jonas Ulmen +4
The importance of proper data normalization for deep neural networks is well known. However, in continuous-time state-space model estimation, it has been observed that improper nor…