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cs.LG2025
Control Disturbance Rejection in Neural ODEs
Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaÅar
In this paper, we propose an iterative training algorithm for Neural ODEs that provides models resilient to control (parameter) disturbances. The method builds on our earlier work…
cs.LG2025
Geometric Foundations of Tuning without Forgetting in Neural ODEs
Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaÅar
In our earlier work, we introduced the principle of Tuning without Forgetting (TwF) for sequential training of neural ODEs, where training samples are added iteratively and paramet…
cs.LG2024
Control Theoretic Approach to Fine-Tuning and Transfer Learning
Erkan Bayram, Shenyu Liu, Mohamed-Ali Belabbas +1
Given a training set in the form of a paired , we say that the control system has learned the paired set via the control if the s…