Zulqarnain Khan

According to our database, Zulqarnain Khan authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder.

Cheng Zeng, Zulqarnain Khan, Nathan L. Post

CoRR, 2024

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions.

Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

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 the Effects of Classifier Lipschitzness on Explainers.

Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy

CoRR, 2022

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

Deep Kernel Learning for Clustering.

Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent

CoRR, 2019