Jordan W. Suchow

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 35

Top Topics

Fine Grained Categorization

Decision Process

Cognitive Modeling

Top Venues

Publications

Necdet Gurkan, Jordan W. Suchow
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. CoRR (2024)
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR (2024)
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. AAAI Spring Symposia (2024)
Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow
Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education. CoRR (2024)
Jia Shen, Jerry Fjermestad, Jordan W. Suchow
Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. HICSS (2024)
Necdet Gurkan, Jordan W. Suchow
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. HICSS (2024)
Jordan W. Suchow, Necdet Gürkan
Coincidental Generation. CoRR (2023)
Yangyang Yu, Jordan W. Suchow
Actively learning a Bayesian matrix fusion model with deep side information. CoRR (2023)
Necdet Gurkan, Jordan W. Suchow
Predicting judgments of food healthiness with deep latent-construct cultural consensus theory. CogSci (2023)
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. CoRR (2023)
Necdet Gürkan, Jordan W. Suchow
Harnessing Collective Intelligence Under a Lack of Cultural Consensus. CoRR (2023)
Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari
The Design and Operation of Digital Platform under Sociotechnical Folk Theories. CoRR (2023)
Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari
The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems. AMCIS (2023)
Jordan W. Suchow, Vahid Ashrafimoghari
The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club. CogSci (2022)
Necdet Gurkan, Jordan W. Suchow
Learning and enforcing a cultural consensus in online communities. CogSci (2022)
Necdet Gurkan, Jordan W. Suchow
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. CoRR (2021)
Necdet Gurkan, Jordan W. Suchow
The Adaptive Glasgow Face-Matching Task. CogSci (2020)
Jared Pincus, Jordan W. Suchow
An empirical estimate of the dimensionality of face space. CogSci (2020)
Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne
Workshop on Scaling Cognitive Science. CogSci (2020)
Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths
Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. CogSci (2019)
Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths
Automated cognitive modeling with Bayesian active model selection. CogSci (2019)
Jordan W. Suchow
Learning to calibrate age estimates. CogSci (2019)
Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths
Capturing Human Category Representations by Sampling in Deep Feature Spaces. ICLR (Workshop) (2018)
Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Thomas L. Griffiths
Capturing human category representations by sampling in deep feature spaces. CoRR (2018)
Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths
Learning a face space for experiments on human identity. CogSci (2018)
Max Simchowitz, Kevin G. Jamieson, Jordan W. Suchow, Thomas L. Griffiths
Adaptive Sampling for Convex Regression. CoRR (2018)
Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths
Capturing human category representations by sampling in deep feature spaces. CogSci (2018)
Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths
Learning a face space for experiments on human identity. CoRR (2018)
Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths
Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. CogSci (2018)
Monica A. Gates, Jordan W. Suchow, Thomas L. Griffiths
Empirical tests of large-scale collaborative recall. CogSci (2017)
Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Thomas L. Griffiths
Uncovering visual priors in spatial memory using serial reproduction. CogSci (2017)
Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths
Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. CogSci (2016)
Jordan W. Suchow, Michael D. Pacer, Thomas L. Griffiths
Design from Zeroth Principles. CogSci (2016)
Michael D. Pacer, Jordan W. Suchow
Linting science prose and the science of prose linting. SciPy (2016)
Jordan W. Suchow, Tom Griffiths
Deciding to Remember: Memory Maintenance as a Markov Decision Process. CogSci (2016)
Jordan W. Suchow, George A. Alvarez
Background motion silences awareness of foreground change. SIGGRAPH Posters (2011)