Paul Schrater

30 papers A 1B 10C 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Structured Relational Representations.
ICAART (3)
Arun Kumar, Paul Schrater
2025 B conf
Curiosity as a Morphism of Interpretation.
CogSci
Arun Kumar, Paul Schrater
2025 J jnl
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind.
CoRR
Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, Jihyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas
2025 J jnl
Structured Representation.
CoRR
Arun Kumar, Paul Schrater
2024 J jnl
Control when confidence is costly.
CoRR
Itzel Olivos-Castillo, Paul Schrater, Xaq Pitkow
2024 B conf
Curiosity act as a rational learning opportunity signal: information source credibility predicts curiosity and trivia fact learning.
CogSci
Linus Holm, Paul Schrater, Felix Thiel
2024 J jnl
KIX: A Metacognitive Generalization Framework.
CoRR
Arun Kumar, Paul Schrater
2023 A conf
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding.
AISTATS
Thomas Gebhart, Jakob Hansen, Paul Schrater
2023 J jnl
Prediction of human looking behavior using interest-based image representations.
Commun. Inf. Syst.
Jong-Shenq Guo, Karen Guo, Paul Schrater
2023 J jnl
The Multifaceted Role of Self-Generated Question Asking in Curiosity-Driven Learning.
Cogn. Sci.
Kara Kedrick, Paul Schrater, Wilma Koutstaal
2022 B conf
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control.
CogSci
Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite
2022 J jnl
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control.
CoRR
Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite
2022 B conf
Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs.
CogSci
Santiago Herce Castañón, Pedro Cardoso-Leite, C. Shawn Green, Daphne Bavelier, Paul Schrater
2022 B conf
The Generation of Original and Known Explanations: How the presence or absence of relevant information influences sense-making and information foraging.
CogSci
Kara Kedrick, Iris Vilares, Paul Schrater
2021 J jnl
A Unified Paths Perspective for Pruning at Initialization.
CoRR
Thomas Gebhart, Udit Saxena, Paul Schrater
2021 J jnl
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding.
CoRR
Thomas Gebhart, Jakob Hansen, Paul Schrater
2020 B conf
Identifying Individual Differences in Sensemaking and Information Foraging.
CogSci
Kara Kedrick, Sashank Varma, Paul Schrater
2019 B conf
A generalizable performance evaluation model of driving games via risk-weighted trajectories.
EDM
Rory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater
2019 J jnl
Adversarial Examples Target Topological Holes in Deep Networks.
CoRR
Thomas Gebhart, Paul Schrater
2019 C conf
Characterizing the Shape of Activation Space in Deep Neural Networks.
ICMLA
Thomas Gebhart, Paul Schrater, Alan Hylton
2019 B conf
Generating normative predictions with a variable-length rate code.
CogSci
S. Thomas Christie, Paul Schrater
2019 B conf
Gradations in task engagement emerge from metacognitive priority control.
CogSci
Dominic Mussack, Paul Schrater
2019 — conf
Principles underlying the design of a cognitive training game as a research framework.
VS-GAMES
Emmanuel Schmück, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite
2019 J jnl
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course.
Neural Comput.
Gunnar Blohm, Paul Schrater, Konrad P. Körding
2019 B conf
Towards discovering problem similarity through deep learning: combining problem features and user behavior.
EDM
Dominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite
2018 J jnl
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks.
CoRR
Yash Upadhyay, Paul Schrater
2018 — conf
Labeling Images by Interpretation from Natural Viewing.
IUI Workshops
Karen Guo, Danielle Pratt, Angus MacDonald III, Paul Schrater
2018 — conf
Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation.
PerCom Workshops
Robert Edge, Dominic Mussack, Matthias Böhmer, Paul Schrater
2017 J jnl
Adversary Detection in Neural Networks via Persistent Homology.
CoRR
Thomas Gebhart, Paul Schrater
2015 C conf
Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data.
ICMLA
Karen Guo, Paul Schrater