Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent (CoRR, 2019)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Yale Chang; Stratis Ioannidis; Jennifer G. Dy (CoRR, 2019)

Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Yiyu Wang; J. Benjamin Hutchinson; Ajay B. Satpute; Jennifer G. Dy; Jan-Willem van de Meent (NeurIPS, 2020)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Stratis Ioannidis; Jennifer G. Dy (SDM, 2020)

Deep Markov Spatio-Temporal Factorization. - Amirreza Farnoosh; Behnaz Rezaei; Eli Zachary Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent; Sarah Ostadabbas (CoRR, 2020)

Analyzing the Effects of Classifier Lipschitzness on Explainers. - Zulqarnain Khan; Aria Masoomi; Davin Hill; Jennifer G. Dy (CoRR, 2022)

A Computational Neural Model for Mapping Degenerate Neural Architectures. - Zulqarnain Khan; Yiyu Wang; Eli Sennesh; Jennifer G. Dy; Sarah Ostadabbas; Jan-Willem van de Meent; J. Benjamin Hutchinson; Ajay B. Satpute (Neuroinformatics, 2022)

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. - Zulqarnain Khan; Davin Hill; Aria Masoomi; Joshua T. Bone; Jennifer G. Dy (AISTATS, 2024)

Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder. - Cheng Zeng; Zulqarnain Khan; Nathan L. Post (CoRR, 2024)