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Heidelberg University, Central Institute of Mental Health (CIMH)
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Teacher forcing, while effective for training RNNs on chaotic systems, fundamentally mismatches the optimization geometry of the true marginal likelihood, potentially harming the learned dynamics.
Continuous-time piecewise-linear RNNs leapfrog discrete-time models and Neural ODEs in dynamical systems reconstruction by exploiting piecewise linearity for efficient training and analysis.
