284 citations · 535 across the 21 of their papers we have counts for
4 papers · 1 filter
Stochastic Gradient MCMC for State Space Models
Christopher Aicher, Yi-An Ma, Nicholas J. Foti +1
State space models (SSMs) are a flexible approach to modeling complex time series. However, inference in SSMs is often computationally prohibitive for long time series. Stochastic…
Disentangled VAE Representations for Multi-Aspect and Missing Data
Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox
Many problems in machine learning and related application areas are fundamentally variants of conditional modeling and sampling across multi-aspect data, either multi-view, multi-m…
Interpretable VAEs for nonlinear group factor analysis
Samuel Ainsworth, Nicholas Foti, Adrian KC Lee +1
Deep generative models have recently yielded encouraging results in producing subjectively realistic samples of complex data. Far less attention has been paid to making these gener…
Neural Granger Causality
Alex Tank, Ian Covert, Nicholas Foti +2
While most classical approaches to Granger causality detection assume linear dynamics, many interactions in real-world applications, like neuroscience and genomics, are inherently…