42 citations · 94 across the 13 of their papers we have counts for
5 papers · 1 filter
Distributional Balancing with Machine Learning for Clinical Trial Augmentation Using Real-World Data
Zern Ke, Mingshi Cui, Gemma Moran +1
In clinical trials, randomization of treatment and control groups is typically used to ensure the groups have similar covariate distributions on average, resulting in unbiased caus…
Aggregated Posterior Predictive Checks for Generative Modeling
Shweta Dutta, Gemma E. Moran
Latent variable generative models are commonly fit using simple priors over latent variables, but draws from these priors often fail to produce realistic data. This failure is due…
Stochastic weather generators for high-frequency wind vector time series
Mingshi Cui, Kevin Eng, Justin T. Greene +5
Surface winds can vary substantially from one minute to the next, so there is scope for studying its variation on this fine time scale. Restricting to the month of June to minimize…
Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision
Gerasimos Chatzoudis, Konstantinos D. Polyzos, Zhuowei Li +4
Understanding the internal activations of Vision Transformers (ViTs) is critical for building interpretable and trustworthy models. While Sparse Autoencoders (SAEs) have been used…
Nonlinear multi-study sparse factor analysis
Gemma E. Moran, Anandi Krishnan
High-dimensional data often exhibit variation that can be captured by lower-dimensional factors. For high-dimensional data from multiple studies, one goal is to understand which un…