Tyler Giallanza

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Semantic Structure

Restricted Boltzmann Machine

Trained Neural Network

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR (2024)
Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage, Jonathan D. Cohen
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. Cogn. Sci. 46 (2) (2022)
Ayaan Haque, Viraaj Reddi, Tyler Giallanza
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. ICANN (5) (2021)
Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci (2021)
Ayaan Haque, Viraaj Reddi, Tyler Giallanza
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. CoRR (2021)
Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. CoRR (2019)
Tyler Giallanza, Erik Gabrielsen, Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton
Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams. ISMVL (2019)
Tyler Giallanza, Travis Siems, Elena Smith, Erik Gabrielsen, Ian Johnson, Mitchell A. Thornton, Eric C. Larson
Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (2) (2019)