| 2025 | ICML | Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions. | Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J. Foti, Joseph Futoma |
| 2019 | UAI | Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. | Christopher Aicher, Nicholas J. Foti, Emily B. Fox |
| 2018 | ICML | oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis. | Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox |
| 2017 | ICML | Stochastic Gradient MCMC Methods for Hidden Markov Models. | Yi-An Ma, Nicholas J. Foti, Emily B. Fox |
| 2017 | ICML | Variational Boosting: Iteratively Refining Posterior Approximations. | Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams |
| 2015 | AISTATS | Streaming Variational Inference for Bayesian Nonparametric Mixture Models. | Alex Tank, Nicholas J. Foti, Emily B. Fox |
| 2015 | UAI | Bayesian Structure Learning for Stationary Time Series. | Alex Tank, Nicholas J. Foti, Emily B. Fox |
| 2013 | AISTATS | A unifying representation for a class of dependent random measures. | Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson |
| 2011 | NSDI | Using Hierarchical Change Mining to Manage Network Security Policy Evolution. | Gabriel A. Weaver, Nicholas J. Foti, Sergey Bratus, Daniel N. Rockmore, Sean W. Smith |