Publications


2023
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 pdf         ext
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       code   arxivext
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 pdf          
Chengkuan Hong and Christian R. Shelton (2023). "Variational Inference for Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics. bib/abs pdf          
 
2022
Chengkuan Hong and Christian R. Shelton (2022). "Deep Neyman-Scott Processes." International Conference on Artificial Intelligence and Statistics. bib/abs pdf          
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       code   arxivext
 
2021
Dave Gomboc and Christian R. Shelton (2021). "Chess endgame compression via logic minimization." Advances in Computer Games. bib/abs pdf          
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 pdf          
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 pdf          
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 pdf         ext
 
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 pdf     codecode-2   arxiv
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 pdf          
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 pdf         ext
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 pdf         ext
Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, and Kevin Tang (2020). "CDeepEx: Contrastive Deep Explanations." European Conference on Artificial Intelligence. bib/abs pdf       mp4  
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 pdf          
 
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 pdf          
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 pdf          
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 pdf          
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 pdf          
 
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 pdf          
Michael Pazzani, Amir Feghahati, Christian Shelton, and Aaron Seitz (2018). "Explaining Contrasting Categories." IUI Workshop on Explainable Smart Systems. bib/abs pdf          
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 pdf         ext
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 pdf supp.pdf   code    
 
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 pdf          
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 pdf          
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 pdf          
 
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 pdf          
 
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 pdf     code    
Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning. bib/abs pdf          
 
2014
Christian R. Shelton and Gianfranco Ciardo (2014). "Tutorial on Continuous-Time Markov Processes." Journal of Artificial Intelligence Research, 51, 725-778. bib/abs pdf          
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 pdf         stream
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           ext
 
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 pdf          
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           ext
 
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 pdf         ext
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 pdf          
Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition. bib/abs pdf     code avi mpg
 
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 pdf          
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 pdf          
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 pdf     soft    
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 pdf          
 
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 pdf          
Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774. bib/abs pdf   ps      
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 pdf   ps      
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 pdf     code    
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 pdf   ps      
Adriano Macchietto, Victor Zordan, and Christian R. Shelton (2009). "Momentum Control for Balance." ACM Transactions on Graphics / SIGGRAPH, 28(3). bib/abs pdf   ps   avimov  
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 pdf   ps ps.gz    
 
2008
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. bib/abs pdf   ps ps.gz    
Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition. bib/abs pdf   ps      
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 pdf          
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 pdf          
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 pdf          
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 pdf          
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 pdf   ps ps.gz    
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 pdf   ps      
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 pdf   ps      
 
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 pdf          
Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288). bib/abs pdf   ps      
 
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 pdf   ps      
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 pdf   ps      
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 pdf          
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 pdf          
 
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 pdf          
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 pdf          
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 pdf          
 
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 pdf   ps ps.gz    
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 pdf   ps ps.gz    
 
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 pdf   ps ps.gz    
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 pdf   ps      
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 pdf   ps ps.gz    
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 pdf   ps ps.gz    
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 pdf          
 
2001
Christian Robert Shelton (2001). Importance Sampling for Reinforcement Learning with Multiple Objectives. Doctoral dissertation, Massachusetts Institute of Technology. bib/abs pdf   ps ps.gz    
    Christian Robert Shelton (2001). "Importance Sampling for Reinforcement Learning with Multiple Objectives." Technical report. MIT AI Lab, AI Memo 2001-003. bib/abs pdf   ps ps.gz    
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 pdf   ps ps.gz    
    Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Technical report. MIT AI Lab, AI Memo 2001-002. bib/abs pdf   ps ps.gz    
Christian R. Shelton (2001). "Importance Sampling Estimate for Policies with Memory." ICML Workshop on Heirarchy and Memory. bib/abs pdf   ps ps.gz    
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 pdf   ps ps.gz    
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 pdf   ps ps.gz    
Christian R. Shelton (2001). "Balancing Multiple Sources of Reward in Reinforcement Learning." Advances in Neural Information Processing Systems 2000 (pp. 1082-1088). bib/abs pdf   ps ps.gz    
 
2000
Christian R. Shelton (2000). "Morphable Surface Models." International Journal of Computer Vision, 38(1), 75-91. bib/abs pdf   ps ps.gz    
Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296. bib/abs pdf          
 
1999
Tomaso Poggio and Christian R. Shelton (1999). "Machine Learning, Machine Vision, and the Brain." AI Magazine, 20(3), 37-55. bib/abs pdf   ps ps.gz    
 
1998
Christian Robert Shelton (1998). Three-Dimensional Correspondence. Masters thesis, Massachusetts Institute of Technology. bib/abs pdf   ps ps.gz    
    Christian Robert Shelton (1998). "Three-Dimensional Correspondence." Technical report. MIT AI Lab, 1650. bib/abs pdf   ps ps.gz    
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     ps ps.gz    
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 pdf   ps ps.gz    
 
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     ps ps.gz    
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 pdf   ps ps.gz    
 
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     ps ps.gz