David I. Inouye (Preferred)
, David I Inouye
, David Inouye
David I. Inouye
Assistant Professor, Purdue University
- Joined October 2018
Names
Emails
****@cs.cmu.edu (Confirmed)
, ****@cs.utexas.edu (Confirmed)
, ****@gatech.edu (Confirmed)
, ****@purdue.edu (Confirmed)
Personal Links
Career & Education History
Assistant Professor
Purdue University (purdue.edu)
2019 – Present
Postdoc
Carnegie Mellon University (cmu.edu)
2017 – 2019
PhD student
University of Texas, Austin (utexas.edu)
2012 – 2017
Undergrad student
Georgia Institute of Technology (gatech.edu)
2007 – 2012
Advisors, Relations & Conflicts
Expertise
invertible models, normalizing flows, iterative learning, localized learning
Present
distribution shift, explainable AI, interpretability, explanability
Present
distribution matching, domain-invariant representation learning
Present
causal ML, counterfactuals, causal representation learning, counterfactual fairness
Present
federated learning, localized learning, iterative learning methods
Present