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Found 5 papers, 2 papers with code
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem
The dynamics-aware economic dispatch (DED) problem embeds low-level generator dynamics and operational constraints to enable near real-time scheduling of generation units in a power network.
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
This manuscript proposes a general approach for querying a causal biological knowledge graph, and converting the qualitative result into a quantitative structural causal model that can learn from data to answer the question.
Koopman Representations of Dynamic Systems with Control
The design and analysis of optimal control policies for dynamical systems can be complicated by nonlinear dependence in the state variables.
The Outer Product Structure of Neural Network Derivatives
In this paper, we show that feedforward and recurrent neural networks exhibit an outer product derivative structure but that convolutional neural networks do not.
Understanding and Exploiting the Low-Rank Structure of Deep Networks
Training methods for deep networks are primarily variants on stochastic gradient descent.
