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Found 3 papers, 2 papers with code
On the generalization capacity of neural networks during generic multimodal reasoning
On the other hand, neither of these architectural features led to productive generalization, suggesting fundamental limitations of existing architectures for specific types of multimodal generalization.
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling
In addition, to overcome limitations of SIP, we reformulate SIP based on constrained optimization and present a novel GAN to solve the constrained optimization problem.
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
Many real-world data sets, especially in biology, are produced by complex nonlinear dynamical systems.
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