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cs.LG2023★ 25 cited
Interpretable statistical representations of neural population dynamics and geometry
Adam Gosztolai, Robert L. Peach, Alexis Arnaudon +2
The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretab…
cs.LG2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts
Thomas Wong, Mauricio Barahona
We present a robust deep incremental learning framework for regression tasks on financial temporal tabular datasets which is built upon the incremental use of commonly available ta…