Empirical Bounds on Linear Regions of Deep Rectifier Networks
In preparation
With Srikumar Ramalingam
[Poster at MIFODS 2019][Preprint]
Bounding and Counting Linear Regions of Deep Neural Networks
ICML 2018
With Christian Tjandraatmadja and Srikumar Ramalingam
Princeton Day of Optimization 2018 Best Poster Award
[Poster at MIP 2018][Talk at INFORMS 2018][Preprint]
How Could Polyhedral Theory Harness Deep Learning?
SciML 2018 workshop, US Department of Energy
With Christian Tjandraatmadja and Srikumar Ramalingam
[Preprint]
Seamless Multimodal Transportation Scheduling
In preparation
With Arvind Raghunathan, David Bergman, John Hooker, and Shingo Kobori
[Preprint]
The Integrated Last-Mile Transportation Problem (ILMTP)
ICAPS 2018
With Arvind Raghunathan, David Bergman, John Hooker, and Shingo Kobori
[Proceedings]
The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach
CP 2012
With Gilberto Nishioka and Fernando Marcellino
[Preprint]
When Lift-and-Project Cuts are Different
Under review
With Egon Balas
[Preprint]
Reformulating the Disjunctive Cut Generating Linear Program
Under review
(Single author)
Winner of the INFORMS 2016 Poster Competition
[Poster at MIP 2016] [Talk at Northeastern University]
Compact Representation of Near-Optimal Integer Programming Solutions
Under review
With John Hooker
[Talk at MOPTA 2016][Preprint]
Branching With Less Repetition
Under review
(Single author)
[Poster at MIP 2017]
