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ORCIDPaul Schrater
Paul R. Schrater
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- affiliation: University of Minnesota, USA
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2020 – today
- 2024
[i15]Arun Kumar, Paul Schrater:
KIX: A Metacognitive Generalization Framework. CoRR abs/2402.05346 (2024)- [i14]Itzel Olivos-Castillo, Paul Schrater, Xaq Pitkow:
Control when confidence is costly. CoRR abs/2406.14427 (2024) - 2023
- [j21]Kara Kedrick
, Paul Schrater, Wilma Koutstaal:
The Multifaceted Role of Self-Generated Question Asking in Curiosity-Driven Learning. Cogn. Sci. 47(4) (2023) - [j20]Jong-Shenq Guo, Karen Guo, Paul Schrater:
Prediction of human looking behavior using interest-based image representations. Commun. Inf. Syst. 23(3): 245-262 (2023) - [c54]Thomas Gebhart, Jakob Hansen, Paul Schrater:
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. AISTATS 2023: 9094-9116 - 2022
- [c53]Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite:
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control. CogSci 2022 - [c52]Santiago Herce Castañón, Pedro Cardoso-Leite, C. Shawn Green, Daphne Bavelier, Paul Schrater:
Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs. CogSci 2022 - [c51]Kara Kedrick, Iris Vilares, Paul Schrater:
The Generation of Original and Known Explanations: How the presence or absence of relevant information influences sense-making and information foraging. CogSci 2022 - [i13]Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite:
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control. CoRR abs/2203.11016 (2022) - 2021
- [j19]Vince Enachescu, Paul R. Schrater, Stefan Schaal, Vassilios N. Christopoulos:
Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. PLoS Comput. Biol. 17(10) (2021) - [i12]Thomas Gebhart, Udit Saxena, Paul Schrater:
A Unified Paths Perspective for Pruning at Initialization. CoRR abs/2101.10552 (2021) - [i11]Thomas Gebhart, Jakob Hansen, Paul Schrater:
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. CoRR abs/2110.03789 (2021) - 2020
- [c50]Kara Kedrick, Sashank Varma, Paul Schrater:
Identifying Individual Differences in Sensemaking and Information Foraging. CogSci 2020 - [c49]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. NeurIPS 2020 - [i10]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR abs/2009.12576 (2020)
2010 – 2019
- 2019
- [j18]Gunnar Blohm, Paul Schrater, Konrad P. Körding:
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course. Neural Comput. 31(1) (2019) - [c48]Arun Kumar, Karan Aggarwal, Paul R. Schrater:
Temporal Proximity Filtering. CHI Extended Abstracts 2019 - [c47]S. Thomas Christie, Paul Schrater:
Generating normative predictions with a variable-length rate code. CogSci 2019: 233-239 - [c46]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CogSci 2019: 2058-2064 - [c45]Dominic Mussack, Paul Schrater:
Gradations in task engagement emerge from metacognitive priority control. CogSci 2019: 3322 - [c44]Rory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater:
A generalizable performance evaluation model of driving games via risk-weighted trajectories. EDM 2019 - [c43]Dominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite:
Towards discovering problem similarity through deep learning: combining problem features and user behavior. EDM 2019 - [c42]Thomas Gebhart, Paul Schrater, Alan Hylton:
Characterizing the Shape of Activation Space in Deep Neural Networks. ICMLA 2019: 1537-1542 - [c41]Emmanuel Schmück, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite:
Principles underlying the design of a cognitive training game as a research framework. VS-GAMES 2019: 1-2 - [i9]Thomas Gebhart, Paul Schrater:
Adversarial Examples Target Topological Holes in Deep Networks. CoRR abs/1901.09496 (2019) - [i8]Thomas J. Ringstrom, Paul R. Schrater:
Constraint Satisfaction Propagation: Non-stationary Policy Synthesis for Temporal Logic Planning. CoRR abs/1901.10405 (2019) - [i7]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CoRR abs/1902.00673 (2019) - [i6]Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR abs/1908.04696 (2019) - 2018
- [c40]Karen Guo, Danielle Pratt, Angus MacDonald III, Paul Schrater:
Labeling Images by Interpretation from Natural Viewing. IUI Workshops 2018 - [c39]Robert Edge, Dominic Mussack, Matthias Böhmer, Paul Schrater:
Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation. PerCom Workshops 2018: 95-99 - [i5]Zhengwei Wu, Paul R. Schrater, Xaq Pitkow:
Inverse POMDP: Inferring What You Think from What You Do. CoRR abs/1805.09864 (2018) - [i4]Yash Upadhyay, Paul Schrater:
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks. CoRR abs/1806.03796 (2018) - [i3]Arun Kumar, Karan Aggarwal, Paul R. Schrater:
Temporal Proximity induces Attributes Similarity. CoRR abs/1810.08747 (2018) - 2017
- [c38]Arun Kumar, Paul R. Schrater:
Novelty Learning via Collaborative Proximity Filtering. IUI 2017: 601-610 - [i2]Thomas Gebhart, Paul Schrater:
Adversary Detection in Neural Networks via Persistent Homology. CoRR abs/1711.10056 (2017) - 2016
- [c37]Nisheeth Srivastava, Johannes Müller-Trede, Paul R. Schrater, Edward Vul:
Modeling sampling duration in decisions from experience. CogSci 2016 - [i1]Arun Kumar, Paul R. Schrater:
Novelty Learning via Collaborative Proximity Filtering. CoRR abs/1610.06633 (2016) - 2015
- [j17]Vassilios N. Christopoulos, Paul R. Schrater:
Dynamic Integration of Value Information into a Common Probability Currency as a Theory for Flexible Decision Making. PLoS Comput. Biol. 11(9) (2015) - [c36]Karen Guo, Paul Schrater:
Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data. ICMLA 2015: 351-355 - [c35]Komal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul R. Schrater:
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. RecSys 2015: 19-26 - [c34]Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater:
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. WSDM 2015: 233-242 - 2014
- [j16]Jacqueline M. Fulvio, C. Shawn Green, Paul R. Schrater:
Task-Specific Response Strategy Selection on the Basis of Recent Training Experience. PLoS Comput. Biol. 10(1) (2014) - [c33]Nisheeth Srivastava, Paul R. Schrater:
Classical conditioning via inference over observable situation contexts. CogSci 2014 - [c32]Nisheeth Srivastava, Paul R. Schrater:
Frugal preference formation. CogSci 2014 - [c31]Nisheeth Srivastava, Ed Vul, Paul R. Schrater:
Magnitude-sensitive preference formation. NIPS 2014: 1080-1088 - 2013
- [j15]Christophe Micheyl, Paul R. Schrater, Andrew J. Oxenham:
Auditory Frequency and Intensity Discrimination Explained Using a Cortical Population Rate Code. PLoS Comput. Biol. 9(11) (2013) - [c30]Ang Li, Paul R. Schrater:
Efficient Learning in Linearly Solvable MDP Models. IJCAI 2013: 248-253 - [c29]Komal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater:
Measuring spontaneous devaluations in user preferences. KDD 2013: 1061-1069 - 2012
- [j14]Wolfgang Ketter, John Collins, Maria L. Gini, Alok Gupta, Paul R. Schrater:
Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes. Inf. Syst. Res. 23(4): 1263-1283 (2012) - [c28]Komal Kapoor, Christopher Amato, Nisheeth Srivastava, Paul R. Schrater:
Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. IAAI 2012: 2293-2298 - [c27]Nisheeth Srivastava, Paul R. Schrater:
Rational inference of relative preferences. NIPS 2012: 2312-2320 - 2011
- [j13]Rashmi Sundareswara, Paul R. Schrater:
Bayesian discounting of camera parameter uncertainty for optimal 3D reconstruction from images. Comput. Vis. Image Underst. 115(1): 117-126 (2011) - [j12]Vassilios N. Christopoulos, Paul R. Schrater:
An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty. Neural Comput. 23(10): 2511-2536 (2011) - [j11]Peter W. Battaglia, Daniel J. Kersten, Paul R. Schrater:
How Haptic Size Sensations Improve Distance Perception. PLoS Comput. Biol. 7(6) (2011) - [j10]Katja Doerschner, Daniel J. Kersten, Paul R. Schrater:
Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognit. 44(9): 1874-1884 (2011) - [c26]Nisheeth Srivastava, Paul R. Schrater:
A value-relativistic decision theory predicts known biases in human preferences. CogSci 2011 - [c25]Nisheeth Srivastava, Komal Kapoor, Paul R. Schrater:
A cognitive basis for theories of intrinsic motivation. ICDL-EPIROB 2011: 1-6 - [c24]Nisheeth Srivastava, Paul R. Schrater:
Cognitive Efficiency as a Causal Mechanism for Social Preferences. SocialCom/PASSAT 2011: 647-650 - 2010
- [j9]Peter W. Battaglia, Massimiliano Di Luca, Marc O. Ernst, Paul R. Schrater, Tonja Machulla, Daniel J. Kersten:
Within- and Cross-Modal Distance Information Disambiguate Visual Size-Change Perception. PLoS Comput. Biol. 6(3) (2010) - [j8]Daniel E. Acuña, Paul R. Schrater:
Structure Learning in Human Sequential Decision-Making. PLoS Comput. Biol. 6(12) (2010) - [c23]Di Zang, Paul R. Schrater, Katja Doerschner:
Object rigidity and reflectivity identification based on motion analysis. ICIP 2010: 4573-4576
2000 – 2009
- 2009
- [j7]Wolfgang Ketter, John Collins, Maria L. Gini, Alok Gupta, Paul R. Schrater:
Detecting and forecasting economic regimes in multi-agent automated exchanges. Decis. Support Syst. 47(4): 307-318 (2009) - [j6]Vassilios N. Christopoulos, Paul R. Schrater:
Grasping Objects with Environmentally Induced Position Uncertainty. PLoS Comput. Biol. 5(10) (2009) - [c22]Katja Doerschner, Daniel J. Kersten, Paul R. Schrater:
Rapid Classification of Surface Reflectance from Image Velocities. CAIP 2009: 856-864 - [c21]Di Zang, Katja Doerschner, Paul R. Schrater:
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. CAIP 2009: 881-888 - 2008
- [c20]Vassilios N. Christopoulos, David J. Lilja, Paul R. Schrater, Apostolos P. Georgopoulos:
Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets. ISPASS 2008: 169-178 - [c19]Daniel E. Acuna, Paul R. Schrater:
Structure Learning in Human Sequential Decision-Making. NIPS 2008: 1-8 - 2007
- [j5]Robert Bodor, Andrew Drenner, Paul R. Schrater, Nikolaos Papanikolopoulos:
Optimal Camera Placement for Automated Surveillance Tasks. J. Intell. Robotic Syst. 50(3): 257-295 (2007) - [c18]Wolfgang Ketter, John Collins, Maria L. Gini, Paul R. Schrater, Alok Gupta:
A predictive empirical model for pricing and resource allocation decisions. ICEC 2007: 449-458 - [c17]Harini Veeraraghavan, Nikolaos Papanikolopoulos, Paul R. Schrater:
Learning Dynamic Event Descriptions in Image Sequences. CVPR 2007 - [c16]Vassilios N. Christopoulos, Paul R. Schrater:
Handling shape and contact location uncertainty in grasping two-dimensional planar objects. IROS 2007: 1557-1563 - 2006
- [j4]Harini Veeraraghavan, Paul R. Schrater, Nikolaos P. Papanikolopoulos:
Robust target detection and tracking through integration of motion, color, and geometry. Comput. Vis. Image Underst. 103(2): 121-138 (2006) - [c15]Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos:
Adaptive Geometric Templates for Feature Matching. ICRA 2006: 3393-3398 - [c14]Harini Veeraraghavan, Nikos Papanikolopoulos, Paul R. Schrater:
Deterministic sampling-based switching kalman filtering for vehicle tracking. ITSC 2006: 1340-1345 - [c13]Paul R. Schrater, Rashmi Sundareswara:
Theory and Dynamics of Perceptual Bistability. NIPS 2006: 1217-1224 - 2005
- [c12]Rashmi Sundareswara, Paul R. Schrater:
Bayesian Modelling of Camera Calibration and Reconstruction. 3DIM 2005: 394-401 - [c11]Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos:
Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. ISIC 2005: 1167-1172 - [c10]Steven Jensen, Daniel Boley, Maria L. Gini, Paul R. Schrater:
Non-Stationary Policy Learning in 2-Player Zero Sum Games. AAAI 2005: 789-794 - [c9]Peter W. Battaglia, Paul R. Schrater, Daniel J. Kersten:
Auxiliary object knowledge influences visually-guided interception behavior. APGV 2005: 145-152 - [c8]Steven Jensen, Daniel Boley, Maria L. Gini, Paul R. Schrater:
Rapid on-line temporal sequence prediction by an adaptive agent. AAMAS 2005: 67-73 - [c7]Robert Bodor, Paul R. Schrater, Nikolaos Papanikolopoulos:
Multi-camera positioning to optimize task observability. AVSS 2005: 552-557 - [c6]Wolfgang Ketter, John Collins, Maria L. Gini, Alok Gupta, Paul R. Schrater:
Identifying and Forecasting Economic Regimes in TAC SCM. AMEC@AAMAS/TADA@IJCAI 2005: 113-125 - [c5]Robert Bodor, Andrew Drenner, Michael Janssen, Paul R. Schrater, Nikolaos Papanikolopoulos:
Mobile camera positioning to optimize the observability of human activity recognition tasks. IROS 2005: 1564-1569 - 2004
- [j3]Scott O. Murray, Paul R. Schrater, Daniel J. Kersten:
Perceptual grouping and the interactions between visual cortical areas. Neural Networks 17(5-6): 695-705 (2004) - [c4]Rashmi Sundareswara, Paul R. Schrater:
Workspace calibration via perceptual judgments. APGV 2004: 182 - 2003
- [c3]Paul R. Schrater:
Bayesian data fusion and credit assignment in vision and fMRI data analysis. Computational Imaging 2003: 24-35 - [c2]Rashmi Sundareswara, Paul R. Schrater:
Extensible Point Location Algorithm. GMAG 2003: 84-89 - [c1]Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten:
Human and Ideal Observers for Detecting Image Curves. NIPS 2003: 1459-1466 - 2002
- [j2]Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla:
Spatial contextual classification and prediction models for mining geospatial data. IEEE Trans. Multim. 4(2): 174-188 (2002) - 2000
- [j1]Paul R. Schrater, Daniel J. Kersten:
How Optimal Depth Cue Integration Depends on the Task. Int. J. Comput. Vis. 40(1): 71-89 (2000)
Coauthor Index
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last updated on 2024-11-05 22:02 CET by the dblp team
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