1.1k citations · 1.4k across the 52 of their papers we have counts for
8 papers · 1 filter
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber, Bryan Wilder, Bistra Dilkina +1
Machine learning components commonly appear in larger decision-making pipelines; however, the model training process typically focuses only on a loss that measures accuracy between…
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
Many complex systems, both in technology and nature, exhibit hierarchical modularity: smaller modules, each of them providing a certain function, are used within larger modules tha…
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin +5
We propose incorporating human labelers in a model fine-tuning system that provides immediate user feedback. In our framework, human labelers can interactively query model predicti…
End to end learning and optimization on graphs
Bryan Wilder, Eric Ewing, Bistra Dilkina +1
Real-world applications often combine learning and optimization problems on graphs. For instance, our objective may be to cluster the graph in order to detect meaningful communitie…
Migration patterns under different scenarios of sea level rise
Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
We propose a framework to examine future migration patterns of people under different sea level rise scenarios using models of human migration. Specifically, we couple a sea level…
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations
Lily Xu, Shahrzad Gholami, Sara Mc Carthy +11
Illegal wildlife poaching threatens ecosystems and drives endangered species toward extinction. However, efforts for wildlife protection are constrained by the limited resources of…
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing +3
Stackelberg security games are a critical tool for maximizing the utility of limited defense resources to protect important targets from an intelligent adversary. Motivated by gree…
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
Jackson A. Killian, Bryan Wilder, Amit Sharma +4
Digital Adherence Technologies (DATs) are an increasingly popular method for verifying patient adherence to many medications. We analyze data from one city served by 99DOTS, a phon…