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ORCIDTyler Giallanza
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2020 – today
- 2025
[i5]Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Xizheng Yu, Mia Patil, Jonathan D. Cohen, Timothy T. Rogers:
AI-enhanced semantic feature norms for 786 concepts. CoRR abs/2505.10718 (2025)- 2024
- [c4]Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven Frankland, Tom Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. NeurIPS 2024 - [i4]Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen:
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR abs/2402.04203 (2024) - [i3]Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods
, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. CoRR abs/2411.00238 (2024) - 2022
- [j2]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) - 2021
- [c3]Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen:
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci 2021 - [c2]Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. ICANN (5) 2021: 436-447 - [i2]Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. CoRR abs/2102.09427 (2021)
2010 – 2019
- 2019
- [j1]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): 45:1-45:22 (2019) - [c1]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: 126-131 - [i1]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 abs/1910.06954 (2019)
Coauthor Index
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last updated on 2025-06-24 21:36 CEST by the dblp team
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