Paul Schrater

According to our database, Paul Schrater authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

KIX: A Metacognitive Generalization Framework.

Arun Kumar, Paul Schrater

CoRR, 2024

2023

The Multifaceted Role of Self-Generated Question Asking in Curiosity-Driven Learning.

Kara Kedrick, Paul Schrater, Wilma Koutstaal

Cogn. Sci., April, 2023

Prediction of human looking behavior using interest-based image representations.

Jong-Shenq Guo, Karen Guo, Paul Schrater

Commun. Inf. Syst., 2023

Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding.

Thomas Gebhart, Jakob Hansen, Paul Schrater

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control.

Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite

CoRR, 2022

2021

A Unified Paths Perspective for Pruning at Initialization.

Thomas Gebhart, Udit Saxena, Paul Schrater

CoRR, 2021

2020

Identifying Individual Differences in Sensemaking and Information Foraging.

Kara Kedrick, Sashank Varma, Paul Schrater

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course.

Gunnar Blohm, Paul Schrater, Konrad P. Körding

Neural Comput., 2019

Adversarial Examples Target Topological Holes in Deep Networks.

Thomas Gebhart, Paul Schrater

CoRR, 2019

Principles underlying the design of a cognitive training game as a research framework.

Emmanuel Schmück, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite

Proceedings of the 11th International Conference on Virtual Worlds and Games for Serious Applications, 2019

Characterizing the Shape of Activation Space in Deep Neural Networks.

Thomas Gebhart, Paul Schrater, Alan Hylton

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Towards discovering problem similarity through deep learning: combining problem features and user behavior.

Dominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite

Proceedings of the 12th International Conference on Educational Data Mining, 2019

A generalizable performance evaluation model of driving games via risk-weighted trajectories.

Rory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Gradations in task engagement emerge from metacognitive priority control.

Dominic Mussack, Paul Schrater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Generating normative predictions with a variable-length rate code.

S. Thomas Christie, Paul Schrater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks.

Yash Upadhyay, Paul Schrater

CoRR, 2018

Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation.

Robert Edge, Dominic Mussack, Matthias Böhmer, Paul Schrater

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Labeling Images by Interpretation from Natural Viewing.

Karen Guo, Danielle Pratt, Angus MacDonald III, Paul Schrater

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

2017

Adversary Detection in Neural Networks via Persistent Homology.

Thomas Gebhart, Paul Schrater

CoRR, 2017

2015

Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data.

Karen Guo, Paul Schrater

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015