Zulqarnain Khan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Semidefinite Program

Kernel Learning

Factor Analysis

Top Venues

Neuroinformatics

Publications

Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. AISTATS (2024)
Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy
Analyzing the Effects of Classifier Lipschitzness on Explainers. CoRR (2022)
Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics 20 (4) (2022)
Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. NeurIPS (2020)
Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy
Deep Kernel Learning for Clustering. SDM (2020)
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
Deep Markov Spatio-Temporal Factorization. CoRR (2020)
Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. CoRR (2019)
Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy
Deep Kernel Learning for Clustering. CoRR (2019)