Deep Bayesian Nonparametric Factor Analysis. - Arunesh Mittal; Paul Sajda; John W. Paisley (CoRR, 2020)

Bayesian recurrent state space model for rs-fMRI. - Arunesh Mittal; Scott W. Linderman; John W. Paisley; Paul Sajda (CoRR, 2020)

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. - Sharath C. Koorathota; Arunesh Mittal; Richard P. Sloan; Paul Sajda (CoRR, 2021)

Deep Metric Representation Learning for Clinical Resting State fMRI. - Arunesh Mittal; John Paisley; Paul Sajda (EMBC, 2022)

Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks. - Arunesh Mittal; Kai Yang; Paul Sajda; John Paisley (CoRR, 2023)

Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers. - Sharath C. Koorathota; Nikolas Papadopoulos; Jia Li Ma; Shruti Kumar; Xiaoxiao Sun 003; Arunesh Mittal; Patrick Adelman; Paul Sajda (CoRR, 2023)

Structured Deep Probabilistic Machine Learning Models with Imaging Applications - Arunesh Mittal (2023)

Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. - Sharath C. Koorathota; Nikolas Papadopoulos; Jia Li Ma; Shruti Kumar; Xiaoxiao Sun 003; Arunesh Mittal; Patrick Adelman; Paul Sajda (ICMI Companion, 2024)