Tyler Giallanza

First Year Graduate Student at Princeton University

About

I am currently a PhD Student in Psychology and Neuroscience at Princeton University, advised by Jonathan Cohen. I'm broadly interested in understanding the computational foundations of human cognitive processes like learning and cognitive control, as well as leveraging that understanding to develop better automated agents.

I received my undergraduate degree in Computer Science at Southern Methodist University, where I applied deep learning to problems in cybersecurity with Mitchell Thorton and Eric Larson at the Darwin Deason Institute for Cyber Security. I also spent a year as a visiting student at the University of Oxford studying formal models of computation.

Publications

2019

Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora

M.C. Iordan, T. Giallanza, C.T. Ellis, N. Beckage, & J.D. Cohen. Preprint available on ArXiv.

PDF | Slides

Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks

T. Giallanza, E Gabrielsen, M. Taylor, E. Larson, & M.A. Thornton. Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies. Vol. 3, Is. 2, June 2019 Article No. 45.

PDF | Slides

Task Value Calculus: Multi-objective Trade off Analysis using Multiple-Valued Decision Diagrams

T. Giallanza, E. Gabrielsen, M. Taylor, E.C. Larson, & M.A. Thornton. 2019 IEEE 49th International Symposium on Multiple-Valued Logic, Pages 126-131.

PDF | Poster | Slides

ArulesViz: Visualizing Association Rules and Frequent Itemsets

M. Hahsler, T. Giallanza, & S. Chelluboina. Comprehensive R Archive Network.

Code

2018

ArulesCBA: Classification Based on Association Rules in R

I. Johnson, T. Giallanza, & M. Hahsler. Comprehensive R Archive Network.

Code

ArulesCWAR: Classification based on Weighted Association Rules

T. Giallanza & M. Hahsler. Comprehensive R Archive Network.

Code