2023 | ||||||||
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Marjuka F. Lazin, Christian R. Shelton, Simon N. Sandhofer, and Bryan M. Wong (2023). "High-Dimensional Multi-Fidelity Bayesian Optimization for Quantum Control." Machine Learning: Science and Technology, 4(4). | bib/abs | |||||||
Ming-Feng Ho, Simeon Bird, Martin A. Fernandez, and Christian R. Shelton (2023). "MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum." Monthly Notices of the Royal Astronomical Society, 526(2), 2903-2919. | bib/abs | |||||||
Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, and Zizhong Chen (2023). "FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs." IEEE Transactions on Parallel and Distributed Systems. | bib/abs | |||||||
Chengkuan Hong and Christian R. Shelton (2023). "Variational Inference for Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics. | bib/abs | |||||||
2022 | ||||||||
Chengkuan Hong and Christian R. Shelton (2022). "Deep Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics. | bib/abs | |||||||
Ming-Feng Ho, Simeon Bird, and Christian R. Shelton (2022). "A Multi-Fidelity Emulator for the Matter Power Spectrum using Gaussian Processes." Monthly Notices of the Royal Astronomical Society, 509(2), 2551-2565. | bib/abs | |||||||
2021 | ||||||||
Dave Gomboc and Christian R. Shelton (2021). "Chess endgame compression via logic minimization." Advances in Computer Games. | bib/abs | |||||||
Seyedmehdi Hosseinimotlagh, Daniel Enright, Christian R. Shelton, and Hyoseung Kim (2021). "Data-Driven Structured Thermal Modeling for COTS Multi-Core Processors." IEEE Real-Time Systems Symposium. | bib/abs | |||||||
Mariam Salloum, Daniel Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian Shelton, Vassilis Tsotras, and Shuheng Zhou (2021). "Developing an Interdiciplinary Data Science Program." SIGCSE Technical Symposium on Computer Science Education. | bib/abs | |||||||
Akber Raza, Chengkuan Hong, Xian Wang, Anshuman Kumar, Christian R. Shelton, and Bryan M. Wong (2021). "NIC-CAGE: An Open-Source Software Package for Predicting Optimal Control Fields in Photo-Excited Chemical Systems." Computer Physics Communications, 258, 107541. | bib/abs | |||||||
2020 | ||||||||
Leah Fauber, Ming-Feng Ho, Simeon Bird, Christian R. Shelton, Roman Garnett, and Ishita Korde (2020). "Automated Measurement of Quasar Redshift with a Gaussian Process." Monthly Notices of the Royal Astronomical Society, 498(4), 5227-5239. | bib/abs | |||||||
Dave Gomboc and Christian R. Shelton (2020). "Lossless compression via two-level logic minimization: a case study using Chess endgame data." 29th International Workshop on Logic and Synthesis. Version here corrects minor error in number of clauses for KN versus k. | bib/abs | |||||||
Xian Wang, Anshuman Kumar, Christian R. Shelton, and Bryan M. Wong (2020). "Harnessing Deep Neural Networks to Solve Inverse Problems in Quantum Dynamics: Machine-Learned Predictions of Time-Dependent Optimal Control Fields." Physical Chemistry Chemical Physics, 22(40), 22889-22899. [featured cover article]. | bib/abs | |||||||
Sanjana Sandeep, Christian R. Shelton, Anja Pahor, Susanne M. Jaeggi, and Aaron R. Seitz (2020). "Application of Machine Learning Models for Tracking Participant Skills in Cognitive Training." Frontiers in Psychology, 11, 1532. | bib/abs | |||||||
Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, and Kevin Tang (2020). "CDeepEx: Contrastive Deep Explanations." European Conference on Artificial Intelligence. | bib/abs | |||||||
Sara Alaee, Alireza Abdoli, Christian Shelton, Amy C. Murillo, Alec C. Gerry, and Eamonn Keogh (2020). "Features or Shape? Tackling the False Dichotomy of Time Series Classification." SIAM International Conference on Data Mining. | bib/abs | |||||||
2019 | ||||||||
Mike Izbicki and Christian R. Shelton (2019). "Distributed Learning of Non-Convex Linear Models with One Round of Communication." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. | bib/abs | |||||||
Kazi Islam and Christian Shelton (2019). "Neural Stochastic Differential Equations with Bayesian Jumps for Marked Temporal Point Process." NeurIPS workshop on Learning wtih Temporal Point Processes. | bib/abs | |||||||
Mike Izbicki and Christian R. Shelton (2019). "Distributed Learning of Neural Networks with One Round of Communication." 2nd International Workshop on Decentralized Machine Learning at the Edge (DMLE'19). | bib/abs | |||||||
Amirali Darvishzadeh, Thomas F. Stahovich, Amir Feghahati, Negin Entezari, Shaghayegh Gharghabi, Reed Kanemaru, and Christian Shelton (2019). "CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments." 15th International Conference on Document Analysis and Recognition. | bib/abs | |||||||
2018 | ||||||||
Jacob Fauber and Christian R. Shelton (2018). "Modeling “Presentness” of Electronic Health Record Data to Improve Patient State Estimation." Proceedings of Machine Learning for Healthcare. | bib/abs | |||||||
Michael Pazzani, Amir Feghahati, Christian Shelton, and Aaron Seitz (2018). "Explaining Contrasting Categories." IUI Workshop on Explainable Smart Systems. | bib/abs | |||||||
Benjamin D. Yetton, Elizabeth A. McDevitt, Nicola Cellini, Christian Shelton, and Sara C. Mednick (2018). "Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks." PLOS One, 13(4). | bib/abs | |||||||
Christian R. Shelton, Zhen Qin, and Chandini Shetty (2018). "Hawkes Process Inference with Missing Data." Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. | bib/abs | |||||||
2017 | ||||||||
Zhen Qin and Christian R. Shelton (2017). "Event Detection in Continuous Video: An Inference in Point Process Approach." IEEE Transactions on Image Processing, 26(12), 5680-5691. | bib/abs | |||||||
Kazi T. Islam, Christian R. Shelton, Juan I. Casse, and Randall Wetzel (2017). "Marked Point Process for Severity of Illness Assessment." Proceedings of Machine Learning for Healthcare. | bib/abs | |||||||
Mike Izbicki, Sajjad Amini, Christian R. Shelton, and Hamed Mohsenian-Rad (2017). "Identification of Destabilizing Attacks in Power Systems." Proceedings of the 2017 American Control Conference (pp. 3424-3429). | bib/abs | |||||||
2016 | ||||||||
Zhen Qin and Christian R. Shelton (2016). "Social Grouping for Multi-target Tracking and Head Pose Estimation in Video." IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2082-2095. | bib/abs | |||||||
2015 | ||||||||
Philip Toltzis, Gerardo Soto-Campos, Christian R. Shelton, Evelyn M. Kuhn, Ryan Hahn, Robert K. Kanter, and Randall C. Wetzel (2015). "Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event." Pediatric Critical Care Medicine, 16(7), e207-e216. [original article had wrong author list, errata]. | bib/abs | |||||||
Zhen Qin and Christian R. Shelton (2015). "Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models." Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. | bib/abs | |||||||
Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning. | bib/abs | |||||||
2014 | ||||||||
Christian R. Shelton and Gianfranco Ciardo (2014). "Tutorial on Continuous-Time Markov Processes." Journal of Artificial Intelligence Research, 51, 725-778. | bib/abs | |||||||
E. Busra Celikkaya and Christian R. Shelton (2014). "Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes." Proceedings of the Thirty-First International Conference on Machine Learning. [version here corrects typos and error in Figure 2]. | bib/abs | |||||||
Robinder G. Khemani, E. Busra Celikkaya, Christian R. Shelton, Dave Kale, Patrick A. Ross, Randall C. Wetzel, and Christopher J. L. Newth (2014). "Algorithms to estimate PaCO2 and pH using non-invasive parameters for children with Hypoxemic Respiratory Failure." Respiratory Care, 59(8), 1248-1257. | bib/abs | |||||||
2013 | ||||||||
Zhen Qin, Christian R. Shelton, and Lunshao Chai (2013). "Social Grouping for Target Handover in Multi-View Video." IEEE International Conference on Multimedia and Expo. | bib/abs | |||||||
Juan I. Casse, Christian R. Shelton, and Robert A. Hanneman (2013). "A new criterion function for exploratory blockmodeling for structural and regular equivalence." Social Networks, 35(1), 31-50. | bib/abs | |||||||
2012 | ||||||||
Pamela Bhattacharya, Iulian Neamtiu, and Christian R. Shelton (2012). "Automated, Highly-Accurate, Bug Assignment Using Machine Learning and Tossing Graphs." Journal of Systems and Software, 85(10), 2275-2292. | bib/abs | |||||||
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, and Christian R. Shelton (2012). "Re-Ranking using Compression-based Distance Measure for Content-based Commercial Product Image Retrieval." IEEE International Conference on Image Processing. | bib/abs | |||||||
Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition. | bib/abs | |||||||
2011 | ||||||||
E. Busra Celikkaya, Christian R. Shelton, and William Lam (2011). "Factored Filtering of Continuous-Time Systems." Proceedings of the Twenty-Seventh International Conference on Uncertainty in Artificial Intelligence. | bib/abs | |||||||
Teddy N. Yap, Jr., Mingyang Li, Anastasios I. Mourikis, and Christian R. Shelton (2011). "A Particle Filter for Monocular Vision-Aided Odometry." Proceedings of the IEEE International Conference on Robotics and Automation. | bib/abs | |||||||
Alec C. Gerry, G. E. Higginbotham, N. Periera, A. Lam, and C. R. Shelton (2011). "Evaluation of Surveillance Methods for Monitoring House Fly Abundance and Activity on Large Commercial Dairy Operations." Journal of Economic Entomology, 104(3), 1087-1092. | bib/abs | |||||||
Robert A. Hanneman and Christian R. Shelton (2011). "Applying Modality and Equivalence Concepts to Pattern-Finding in Social Process-Produced Data." Social Network Analysis and Mining, 1, 59-72. | bib/abs | |||||||
2010 | ||||||||
Antony Lam, Amit K. Roy-Chowdhury, and Christian R. Shelton (2010). "Interactive Event Search Through Transfer Learning." Tenth Asian Conference on Computer Vision. | bib/abs | |||||||
Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774. | bib/abs | |||||||
Yu Fan, Jing Xu, and Christian R. Shelton (2010). "Importance Sampling for Continuous Time Bayesian Networks." Journal of Machine Learning Research, 11(Aug), 2115-2140. | bib/abs | |||||||
Kevin Horan, Christian R. Shelton, and Thomas Girke (2010). "Predicting conserved protein motifs with Sub-HMMs." BMC Bioinformatics, 11(205), 1471-2105. | bib/abs | |||||||
Christian R. Shelton, Yu Fan, William Lam, Joon Lee, and Jing Xu (2010). "Continuous Time Bayesian Network Reasoning and Learning Engine." Journal of Machine Learning Research, 11(Mar), 1137-1140. | bib/abs | |||||||
Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton (2010). "Annotating Historical Archives of Images." International Journal of Digital Library Systems, 1(2), 59-80. | bib/abs | |||||||
2009 | ||||||||
Yu Fan and Christian R. Shelton (2009). "Learning Continuous-Time Social Network Dynamics." Proceedings of the Twenty-Fifth International Conference on Uncertainty in Artificial Intelligence. | bib/abs | |||||||
Adriano Macchietto, Victor Zordan, and Christian R. Shelton (2009). "Momentum Control for Balance." ACM Transactions on Graphics / SIGGRAPH, 28(3). | bib/abs | |||||||
Teddy N. Yap, Jr. and Christian R. Shelton (2009). "SLAM in Large Indoor Environments with Low-Cost, Noisy, and Sparse Sonars." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 1395-1401). | bib/abs | |||||||
2008 | ||||||||
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. | bib/abs | |||||||
Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition. | bib/abs | |||||||
Kin Fai Kan and Christian R. Shelton (2008). "Catenary Support Vector Machines." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (LNAI, vol 5211) (pp. 597-610). © Springer-Verlag. | bib/abs | |||||||
Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (LNAI, vol 5212) (pp. 613-627). © Springer-Verlag. | bib/abs | |||||||
Kevin Horan, Charles Jang, Julie Bailey-Serres, Ron Mittler, Christian Shelton, Jeff F Harper, Jian-Kang Zhu, John JC Cushman, Martin Gollery, and Thomas Girke (2008). "Annotating Genes of Known and Unknown Function by Large-Scale Co-Expression Analysis." Plant Physiology, 147(1), 41-57. | bib/abs | |||||||
Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton (2008). "Annotating Historical Archives of Images." Joint Conference on Digital Libraries (pp. 341-350). | bib/abs | |||||||
Teddy N. Yap, Jr. and Christian R. Shelton (2008). "Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 2091-2097). | bib/abs | |||||||
Yu Fan and Christian R. Shelton (2008). "Sampling for Approximate Inference in Continuous Time Bayesian Networks." Tenth International Symposium on Artificial Intelligence and Mathematics. | bib/abs | |||||||
Kin Fai Kan and Christian R. Shelton (2008). "Solving Structured Continuous-Time Markov Decision Processes." Tenth International Symposium on Artificial Intelligence and Mathematics. | bib/abs | |||||||
2007 | ||||||||
Titus Winters, Christian R. Shelton, and Tom Payne (2007). "Investigating Generative Factors of Score Matrices." Thirteenth International Conference on Artificial Intelligence in Education (pp. 479-486). | bib/abs | |||||||
Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288). | bib/abs | |||||||
2006 | ||||||||
Guobiao Mei and Christian R. Shelton (2006). "Visualization of Collaborative Data." Proceedings of the Twenty-Second International Conference on Uncertainty in Artificial Intelligence (pp. 341-348). | bib/abs | |||||||
Ben Blum, Christian R. Shelton, and Daphne Koller (2006). "A Continuation Method for Nash Equilibria in Structured Games." Journal of Artificial Intelligence Research, 25, 457-502. | bib/abs | |||||||
Xiaopeng Xi, Eamonn Keogh, Christian Shelton, Li Wei, and Chotirat Ann Ratanamahatana (2006). "Fast Time Series Classification using Numerosity Reduction." Proceedings of the Twenty-Third International Conference on Machine Learning (pp. 1033-1040). | bib/abs | |||||||
Charles Lee Isbell, Jr., Michael Kearns, Satinder Singh, Christian R. Shelton, Peter Stone, and Dave Kormann (2006). "Cobot in LambdaMOO: An Adaptive Social Statistics Agent." Autonomous Agents and Multi-Agent Systems, 13(3), 327-354. | bib/abs | |||||||
2005 | ||||||||
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2005). "Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 421-430). | bib/abs | |||||||
Titus Winters, Christian Shelton, Thomas Payne, and Guobiao Mei (2005). "Topic Extraction from Item-Level Grades." AAAI-05 Workshop: Educational Data Mining (pp. 1-8). | bib/abs | |||||||
Uri Nodelman, Daphne Koller, and Christian R. Shelton (2005). "Expectation Propagation for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 431-440). | bib/abs | |||||||
2003 | ||||||||
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2003). "Learning Continuous Time Bayesian Networks." Proceedings of the Nineteenth International Conference on Uncertainty in Artificial Intelligence (pp. 451-458). [version here corrects error in Bayesian score formula]. | bib/abs | |||||||
Ben Blum, Christian R. Shelton, and Daphne Koller (2003). "A Continuation Method for Nash Equilibria in Structured Games." Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (pp. 757-764). | bib/abs | |||||||
2002 | ||||||||
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2002). "Continuous Time Bayesian Networks." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 378-387). [version here corrects minor errors]. | bib/abs | |||||||
Adlar J. Kim, Christian R. Shelton, and Tomaso Poggio (2002). "Modeling Stock Order Flows and Learning Market-Making from Data." Technical report. MIT AI Lab, AI Memo 2002-009. | bib/abs | |||||||
Christian R. Shelton (2002). "Reinforcement Learning with Partially Known World Dynamics." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 461-468). | bib/abs | |||||||
Leonid Peshkin and Christian R. Shelton (2002). "Learning from Scarce Experience." Proceedings of the Nineteenth International Conference on Machine Learning (pp. 498-505). | bib/abs | |||||||
Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2002). "Cobot: A Social Reinforcement Learning Agent." Advances in Neural Information Processing Systems 2001, vol 2 (pp. 1393-1400). | bib/abs | |||||||
2001 | ||||||||
Christian Robert Shelton (2001). Importance Sampling for Reinforcement Learning with Multiple Objectives. Doctoral dissertation, Massachusetts Institute of Technology. | bib/abs | |||||||
Christian Robert Shelton (2001). "Importance Sampling for Reinforcement Learning with Multiple Objectives." Technical report. MIT AI Lab, AI Memo 2001-003. | bib/abs | |||||||
Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Proceedings of the Seventeenth International Conference on Uncertainty in Artificial Intelligence (pp. 496-503). | bib/abs | |||||||
Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Technical report. MIT AI Lab, AI Memo 2001-002. | bib/abs | |||||||
Christian R. Shelton (2001). "Importance Sampling Estimate for Policies with Memory." ICML Workshop on Heirarchy and Memory. | bib/abs | |||||||
Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Seventh International Conference of the Society for Computational Economics. | bib/abs | |||||||
Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Technical report. MIT AI Lab, AI Memo 2001-005. | bib/abs | |||||||
Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2001). "A Social Reinforcement Learning Agent." Fifth International Conference on Autonomous Agents (pp. 377-384). best paper award. | bib/abs | |||||||
Christian R. Shelton (2001). "Balancing Multiple Sources of Reward in Reinforcement Learning." Advances in Neural Information Processing Systems 2000 (pp. 1082-1088). | bib/abs | |||||||
2000 | ||||||||
Christian R. Shelton (2000). "Morphable Surface Models." International Journal of Computer Vision, 38(1), 75-91. | bib/abs | |||||||
Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296. | bib/abs | |||||||
1999 | ||||||||
Tomaso Poggio and Christian R. Shelton (1999). "Machine Learning, Machine Vision, and the Brain." AI Magazine, 20(3), 37-55. | bib/abs | |||||||
1998 | ||||||||
Christian Robert Shelton (1998). Three-Dimensional Correspondence. Masters thesis, Massachusetts Institute of Technology. | bib/abs | |||||||
Christian Robert Shelton (1998). "Three-Dimensional Correspondence." Technical report. MIT AI Lab, 1650. | bib/abs | |||||||
Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Computational Geometry: Theory and Applications, 10(4), 273-288. | bib/abs | |||||||
Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Technical report. MIT AI Lab, AI Memo 1618. | bib/abs | |||||||
P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1998). "RAPID: Randomized Pharmacophore Identification for Drug Design." Computational Geometry: Theory and Applications, 10(4). | bib/abs | |||||||
1997 | ||||||||
Dan Halperin and Christian R. Shelton (1997). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 183-192). | bib/abs | |||||||
P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1997). "RAPID: Randomized Pharmacophore Identification for Drug Design." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 324-333). | bib/abs | |||||||
1996 | ||||||||
Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian Shelton, and Suresh Venkatasubramanian (1996). "Geometric Manipulation of Flexible Ligands." In M. C. Lin and D. Manocha, editors, Applied Computational Geometry: Towards Geometric Engineering (pp. 67-78). papers from the ACM Workshop on Applied Computational Geometry 1996. | bib/abs |