3 citations · 3 across the 4 of their papers we have counts for
4 papers
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
Andrew O'Brien, Rosina Weber, Edward Kim
The SINDy algorithm has been successfully used to identify the governing equations of dynamical systems from time series data. In this paper, we argue that this makes SINDy a poten…
Dictionary Learning with Accumulator Neurons
Gavin Parpart, Carlos Gonzalez, Terrence C. Stewart +6
The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time exec…
Multi-Agent Algorithmic Recourse
Andrew O'Brien, Edward Kim
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. Counterfactual Explanation…
The Interpretable Dictionary in Sparse Coding
Edward Kim, Connor Onweller, Andrew O'Brien +1
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 e…