Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams. - Tyler Giallanza; Erik Gabrielsen; Michael A. Taylor 001; Eric C. Larson; Mitchell A. Thornton (ISMVL, 2019)

Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks. - Tyler Giallanza; Travis Siems; Elena Smith; Erik Gabrielsen; Ian Johnson; Mitchell A. Thornton; Eric C. Larson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Regression, encoding, control: an integrated approach to shared representations with distributed coding. - Gregory Henselman-Petrusek; Tyler Giallanza; Sebastian Musslick; Jonathan Cohen 003 (CogSci, 2021)

Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. - Ayaan Haque; Viraaj Reddi; Tyler Giallanza (ICANN (5), 2021)

Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. - Marius Catalin Iordan; Tyler Giallanza; Cameron T. Ellis; Nicole M. Beckage; Jonathan D. Cohen 003 (Cogn. Sci., 2022)

Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Declan Campbell; Sunayana Rane; Tyler Giallanza; Nicolò De Sabbata; Kia Ghods; Amogh Joshi 004; Alexander Ku; Steven Frankland; Tom Griffiths 001; Jonathan D. Cohen 003; Taylor W. Webb (NeurIPS, 2024)

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. - Declan Campbell; Sreejan Kumar; Tyler Giallanza; Thomas L. Griffiths 001; Jonathan D. Cohen 003 (CoRR, 2024)

AI-enhanced semantic feature norms for 786 concepts. - Siddharth Suresh; Kushin Mukherjee; Tyler Giallanza; Xizheng Yu; Mia Patil; Jonathan D. Cohen 003; Timothy T. Rogers (CoRR, 2025)