no code implementations • 24 Jun 2022 • Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua Bone, Jennifer Dy
We provide lower bound guarantees on the astuteness of a variety of explainers (e. g., SHAP, RISE, CXPlain) given the Lipschitzness of the prediction function.
1 code implementation • 22 Mar 2020 • Amirreza Farnoosh, Behnaz Rezaei, Eli Zachary Sennesh, Zulqarnain Khan, Jennifer Dy, Ajay Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent, Sarah Ostadabbas
This results in a flexible family of hierarchical deep generative factor analysis models that can be extended to perform time series clustering or perform factor analysis in the presence of a control signal.
no code implementations • 9 Aug 2019 • Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer Dy
We propose a deep learning approach for discovering kernels tailored to identifying clusters over sample data.
no code implementations • NeurIPS 2020 • Eli Sennesh, Zulqarnain Khan, Yiyu Wang, Jennifer Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
Neuroimaging studies produce gigabytes of spatio-temporal data for a small number of participants and stimuli.