How Optimal Depth Cue Integration Depends on the Task. - Paul R. Schrater; Daniel J. Kersten (Int. J. Comput. Vis., 2000)

Spatial contextual classification and prediction models for mining geospatial data. - Shashi Shekhar 001; Paul R. Schrater; Ranga Raju Vatsavai; Weili Wu 001; Sanjay Chawla (IEEE Trans. Multim., 2002)

Bayesian data fusion and credit assignment in vision and fMRI data analysis. - Paul R. Schrater (Computational Imaging, 2003)

Extensible Point Location Algorithm. - Rashmi Sundareswara; Paul R. Schrater (GMAG, 2003)

Human and Ideal Observers for Detecting Image Curves. - Alan L. Yuille; Fang Fang 003; Paul R. Schrater; Daniel J. Kersten (NIPS, 2003)

Workspace calibration via perceptual judgments. - Rashmi Sundareswara; Paul R. Schrater (APGV, 2004)

Perceptual grouping and the interactions between visual cortical areas. - Scott O. Murray; Paul R. Schrater; Daniel J. Kersten (Neural Networks, 2004)

Bayesian Modelling of Camera Calibration and Reconstruction. - Rashmi Sundareswara; Paul R. Schrater (3DIM, 2005)

Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos Papanikolopoulos (ISIC, 2005)

Non-Stationary Policy Learning in 2-Player Zero Sum Games. - Steven Jensen; Daniel Boley; Maria L. Gini; Paul R. Schrater (AAAI, 2005)

Auxiliary object knowledge influences visually-guided interception behavior. - Peter W. Battaglia; Paul R. Schrater; Daniel J. Kersten (APGV, 2005)

Rapid on-line temporal sequence prediction by an adaptive agent. - Steven Jensen; Daniel Boley; Maria L. Gini; Paul R. Schrater (AAMAS, 2005)

Multi-camera positioning to optimize task observability. - Robert Bodor; Paul R. Schrater; Nikolaos Papanikolopoulos (AVSS, 2005)

Identifying and Forecasting Economic Regimes in TAC SCM. - Wolfgang Ketter; John Collins; Maria L. Gini; Alok Gupta; Paul R. Schrater (AMEC@AAMAS/TADA@IJCAI, 2005)

Mobile camera positioning to optimize the observability of human activity recognition tasks. - Robert Bodor; Andrew Drenner; Michael Janssen; Paul R. Schrater; Nikolaos Papanikolopoulos (IROS, 2005)

Adaptive Geometric Templates for Feature Matching. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos Papanikolopoulos (ICRA, 2006)

Deterministic sampling-based switching kalman filtering for vehicle tracking. - Harini Veeraraghavan; Nikos Papanikolopoulos; Paul R. Schrater (ITSC, 2006)

Theory and Dynamics of Perceptual Bistability. - Paul R. Schrater; Rashmi Sundareswara (NIPS, 2006)

Robust target detection and tracking through integration of motion, color, and geometry. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos P. Papanikolopoulos (Comput. Vis. Image Underst., 2006)

A predictive empirical model for pricing and resource allocation decisions. - Wolfgang Ketter; John Collins; Maria L. Gini; Paul R. Schrater; Alok Gupta (ICEC, 2007)

Learning Dynamic Event Descriptions in Image Sequences. - Harini Veeraraghavan; Nikolaos Papanikolopoulos; Paul R. Schrater (CVPR, 2007)

Handling shape and contact location uncertainty in grasping two-dimensional planar objects. - Vassilios N. Christopoulos; Paul R. Schrater (IROS, 2007)

Optimal Camera Placement for Automated Surveillance Tasks. - Robert Bodor; Andrew Drenner; Paul R. Schrater; Nikolaos Papanikolopoulos (J. Intell. Robotic Syst., 2007)

Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets. - Vassilios N. Christopoulos; David J. Lilja; Paul R. Schrater; Apostolos P. Georgopoulos (ISPASS, 2008)

Structure Learning in Human Sequential Decision-Making. - Daniel E. Acuna; Paul R. Schrater (NIPS, 2008)

Rapid Classification of Surface Reflectance from Image Velocities. - Katja Doerschner; Daniel J. Kersten; Paul R. Schrater (CAIP, 2009)

Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. - Di Zang; Katja Doerschner; Paul R. Schrater (CAIP, 2009)

Detecting and forecasting economic regimes in multi-agent automated exchanges. - Wolfgang Ketter; John Collins; Maria L. Gini; Alok Gupta; Paul R. Schrater (Decis. Support Syst., 2009)

Grasping Objects with Environmentally Induced Position Uncertainty. - Vassilios N. Christopoulos; Paul R. Schrater (PLoS Comput. Biol., 2009)

Object rigidity and reflectivity identification based on motion analysis. - Di Zang; Paul R. Schrater; Katja Doerschner (ICIP, 2010)

Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. - Peter W. Battaglia; Massimiliano Di Luca; Marc O. Ernst; Paul R. Schrater; Tonja Machulla; Daniel J. Kersten (PLoS Comput. Biol., 2010)

A value-relativistic decision theory predicts known biases in human preferences. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2011)

A cognitive basis for theories of intrinsic motivation. - Nisheeth Srivastava; Komal Kapoor; Paul R. Schrater (ICDL-EPIROB, 2011)

Cognitive Efficiency as a Causal Mechanism for Social Preferences. - Nisheeth Srivastava; Paul R. Schrater (SocialCom/PASSAT, 2011)

Bayesian discounting of camera parameter uncertainty for optimal 3D reconstruction from images. - Rashmi Sundareswara; Paul R. Schrater (Comput. Vis. Image Underst., 2011)

An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty. - Vassilios N. Christopoulos; Paul R. Schrater (Neural Comput., 2011)

How Haptic Size Sensations Improve Distance Perception. - Peter W. Battaglia; Daniel J. Kersten; Paul R. Schrater (PLoS Comput. Biol., 2011)

Rapid classification of specular and diffuse reflection from image velocities. - Katja Doerschner; Daniel J. Kersten; Paul R. Schrater (Pattern Recognit., 2011)

Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. - Komal Kapoor; Christopher Amato; Nisheeth Srivastava; Paul R. Schrater (IAAI, 2012)

Rational inference of relative preferences. - Nisheeth Srivastava; Paul R. Schrater (NIPS, 2012)

Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes. - Wolfgang Ketter; John Collins; Maria L. Gini; Alok Gupta; Paul R. Schrater (Inf. Syst. Res., 2012)

Efficient Learning in Linearly Solvable MDP Models. - Ang Li 009; Paul R. Schrater (IJCAI, 2013)

Measuring spontaneous devaluations in user preferences. - Komal Kapoor; Nisheeth Srivastava; Jaideep Srivastava; Paul R. Schrater (KDD, 2013)

Auditory Frequency and Intensity Discrimination Explained Using a Cortical Population Rate Code. - Christophe Micheyl; Paul R. Schrater; Andrew J. Oxenham (PLoS Comput. Biol., 2013)

Classical conditioning via inference over observable situation contexts. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2014)

Frugal preference formation. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2014)

Magnitude-sensitive preference formation. - Nisheeth Srivastava; Ed Vul; Paul R. Schrater (NIPS, 2014)

Task-Specific Response Strategy Selection on the Basis of Recent Training Experience. - Jacqueline M. Fulvio; C. Shawn Green; Paul R. Schrater (PLoS Comput. Biol., 2014)

Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data. - Karen Guo; Paul Schrater (ICMLA, 2015)

"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. - Komal Kapoor; Vikas Kumar; Loren G. Terveen; Joseph A. Konstan; Paul R. Schrater (RecSys, 2015)

Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. - Komal Kapoor; Karthik Subbian; Jaideep Srivastava; Paul R. Schrater (WSDM, 2015)

Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision Making. - Vassilios N. Christopoulos; Paul R. Schrater (PLoS Comput. Biol., 2015)

Modeling sampling duration in decisions from experience. - Nisheeth Srivastava; Johannes Müller-Trede; Paul R. Schrater; Edward Vul (CogSci, 2016)

Novelty Learning via Collaborative Proximity Filtering. - Arun Kumar 009; Paul R. Schrater (IUI, 2017)

Adversary Detection in Neural Networks via Persistent Homology. - Thomas Gebhart; Paul Schrater (CoRR, 2017)

Labeling Images by Interpretation from Natural Viewing. - Karen Guo; Danielle Pratt; Angus MacDonald III; Paul Schrater (IUI Workshops, 2018)

Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation. - Robert Edge; Dominic Mussack; Matthias Böhmer 001; Paul Schrater (PerCom Workshops, 2018)

Inverse POMDP: Inferring What You Think from What You Do. - Zhengwei Wu; Paul R. Schrater; Xaq Pitkow (CoRR, 2018)

Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks. - Yash Upadhyay; Paul Schrater (CoRR, 2018)

Temporal Proximity induces Attributes Similarity. - Arun Kumar 009; Karan Aggarwal; Paul R. Schrater (CoRR, 2018)

Temporal Proximity Filtering. - Arun Kumar 009; Karan Aggarwal; Paul R. Schrater (CHI Extended Abstracts, 2019)

Belief dynamics extraction. - Arun Kumar 009; Zhengwei Wu; Xaq Pitkow; Paul R. Schrater (CogSci, 2019)

Generating normative predictions with a variable-length rate code. - S. Thomas Christie; Paul Schrater (CogSci, 2019)

Gradations in task engagement emerge from metacognitive priority control. - Dominic Mussack; Paul Schrater (CogSci, 2019)

A generalizable performance evaluation model of driving games via risk-weighted trajectories. - Rory Flemming; Emmanuel Schmück; Dominic Mussack; Pedro Cardoso-Leite; Paul Schrater (EDM, 2019)

Towards discovering problem similarity through deep learning: combining problem features and user behavior. - Dominic Mussack; Rory Flemming; Paul Schrater; Pedro Cardoso-Leite (EDM, 2019)

Characterizing the Shape of Activation Space in Deep Neural Networks. - Thomas Gebhart; Paul Schrater; Alan Hylton (ICMLA, 2019)

Principles underlying the design of a cognitive training game as a research framework. - Emmanuel Schmück; Rory Flemming; Paul Schrater; Pedro Cardoso-Leite (VS-GAMES, 2019)

Adversarial Examples Target Topological Holes in Deep Networks. - Thomas Gebhart; Paul Schrater (CoRR, 2019)

Constraint Satisfaction Propagation: Non-stationary Policy Synthesis for Temporal Logic Planning. - Thomas J. Ringstrom; Paul R. Schrater (CoRR, 2019)

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Saurabh Daptardar; Paul R. Schrater; Xaq Pitkow (CoRR, 2019)

Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course. - Gunnar Blohm; Paul Schrater; Konrad P. Körding (Neural Comput., 2019)

Identifying Individual Differences in Sensemaking and Information Foraging. - Kara Kedrick; Sashank Varma; Paul Schrater (CogSci, 2020)

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Minhae Kwon; Saurabh Daptardar; Paul R. Schrater; Xaq Pitkow (NeurIPS, 2020)

A Unified Paths Perspective for Pruning at Initialization. - Thomas Gebhart; Udit Saxena; Paul Schrater (CoRR, 2021)

Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. - Vince Enachescu; Paul R. Schrater; Stefan Schaal; Vassilios N. Christopoulos (PLoS Comput. Biol., 2021)

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 (CogSci, 2022)

Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs. - Santiago Herce Castañón; Pedro Cardoso-Leite; C. Shawn Green; Daphne Bavelier; Paul Schrater (CogSci, 2022)

The Generation of Original and Known Explanations: How the presence or absence of relevant information influences sense-making and information foraging. - Kara Kedrick; Iris Vilares; Paul Schrater (CogSci, 2022)

Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. - Thomas Gebhart; Jakob Hansen; Paul Schrater (AISTATS, 2023)

Prediction of human looking behavior using interest-based image representations. - Jong-Shenq Guo; Karen Guo; Paul Schrater (Commun. Inf. Syst., 2023)

The Multifaceted Role of Self-Generated Question Asking in Curiosity-Driven Learning. - Kara Kedrick; Paul Schrater; Wilma Koutstaal (Cogn. Sci., 2023)

KIX: A Metacognitive Generalization Framework. - Arun Kumar 009; Paul Schrater (CoRR, 2024)

Control when confidence is costly. - Itzel Olivos-Castillo; Paul Schrater; Xaq Pitkow (CoRR, 2024)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - 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; et al. (CoRR, 2025)

Structured Representation. - Arun Kumar; Paul Schrater (CoRR, 2025)

A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes. - Thomas J. Ringstrom; Paul R. Schrater (CoRR, 2025)