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Found 5 papers, 0 papers with code
Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
The SINDy algorithm has been successfully used to identify the governing equations of dynamical systems from time series data.
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
The SINDy algorithm has been successfully used to identify the governing equations of dynamical systems from time series data.
Dictionary Learning with Accumulator Neurons
The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor.
Multi-Agent Algorithmic Recourse
The recent adoption of machine learning as a tool in real world decision making has spurred interest in understanding how these decisions are being made.
The Interpretable Dictionary in Sparse Coding
Artificial neural networks (ANNs), specifically deep learning networks, have often been labeled as black boxes due to the fact that the internal representation of the data is not easily interpretable.
