Christian R. Shelton

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 25

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker
Efficient Transformer Encoders for Mask2Former-style models. CoRR (2024)
Chengkuan Hong, Christian R. Shelton
Variational Inference for Neyman-Scott Processes. AISTATS (2023)
Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Marjuka F. Lazin, Christian R. Shelton, Simon N. Sandhofer, Bryan M. Wong
High-dimensional multi-fidelity Bayesian optimization for quantum control. Mach. Learn. Sci. Technol. 4 (4) (2023)
Chengkuan Hong, Christian R. Shelton
Variational Inference for Neyman-Scott Processes. CoRR (2023)
Chengkuan Hong, Christian R. Shelton
Deep Neyman-Scott Processes. AISTATS (2022)
Seyedmehdi Hosseinimotlagh, Daniel Enright, Christian R. Shelton, Hyoseung Kim
Data-Driven Structured Thermal Modeling for COTS Multi-core Processors. RTSS (2021)
Akber Raza, Chengkuan Hong, Xian Wang, Anshuman Kumar, Christian R. Shelton, Bryan M. Wong
NIC-CAGE: An open-source software package for predicting optimal control fields in photo-excited chemical systems. Comput. Phys. Commun. 258 (2021)
Mariam Salloum, Daniel R. Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian R. Shelton, Vassilis J. Tsotras, Shuheng Zhou
Developing an Interdisciplinary Data Science Program. SIGCSE (2021)
Chengkuan Hong, Christian R. Shelton
Convolutional Deep Exponential Families. CoRR (2021)
Dave Gomboc, Christian R. Shelton
Chess Endgame Compression via Logic Minimization. ACG (2021)
Chengkuan Hong, Christian R. Shelton
Deep Neyman-Scott Processes. CoRR (2021)
Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang
CDeepEx: Contrastive Deep Explanations. ECAI (2020)
Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh
Features or Shape? Tackling the False Dichotomy of Time Series Classification. SDM (2020)
Mike Izbicki, Christian R. Shelton
Distributed Learning of Non-convex Linear Models with One Round of Communication. ECML/PKDD (2) (2019)
Amirali Darvishzadeh, Thomas F. Stahovich, Amir Feghahati, Negin Entezari, Shaghayegh Gharghabi, Reed Kanemaru, Christian R. Shelton
CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments. ICDAR (2019)
Mike Izbicki, Christian R. Shelton
Distributed Learning of Neural Networks with One Round of Communication. PKDD/ECML Workshops (1) (2019)
Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh
Features or Shape? Tackling the False Dichotomy of Time Series Classification. CoRR (2019)
Michael J. Pazzani, Amir Feghahati, Christian R. Shelton, Aaron R. Seitz
Explaining Contrasting Categories. IUI Workshops (2018)
Jacob Fauber, Christian R. Shelton
Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation. MLHC (2018)
Christian R. Shelton, Zhen Qin, Chandini Shetty
Hawkes Process Inference With Missing Data. AAAI (2018)
Zhen Qin, Christian R. Shelton
Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. 26 (12) (2017)
Mike Izbicki, Sajjad Amini, Christian R. Shelton, Hamed Mohsenian Rad
Identification of destabilizing attacks in power systems. ACC (2017)
Kazi T. Islam, Christian R. Shelton, Juan I. Casse, Randall C. Wetzel
Marked Point Process for Severity of Illness Assessment. MLHC (2017)
Zhen Qin, Christian R. Shelton
Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
Mike Izbicki, Christian R. Shelton
Faster cover trees. ICML (2015)
Zhen Qin, Christian R. Shelton
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI (2015)
Christian R. Shelton, Gianfranco Ciardo
Tutorial on Structured Continuous-Time Markov Processes. J. Artif. Intell. Res. 51 (2014)
E. Busra Celikkaya, Christian R. Shelton
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. ICML (2014)
Jing Xu, Christian R. Shelton
Intrusion Detection using Continuous Time Bayesian Networks. CoRR (2014)
Christian R. Shelton
Policy Improvement for POMDPs Using Normalized Importance Sampling CoRR (2013)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Continuous Time Bayesian Networks CoRR (2013)
Zhen Qin, Christian R. Shelton, Lunshao Chai
Social grouping for target handover in multi-view video. ICME (2013)
Juan I. Casse, Christian R. Shelton, Robert A. Hanneman
A new criterion function for exploratory blockmodeling for structural and regular equivalence. Soc. Networks 35 (1) (2013)
Christian R. Shelton
Reinforcement Learning with Partially Known World Dynamics CoRR (2013)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Learning Continuous Time Bayesian Networks CoRR (2012)
Zhen Qin, Christian R. Shelton
Improving multi-target tracking via social grouping. CVPR (2012)
Pamela Bhattacharya, Iulian Neamtiu, Christian R. Shelton
Automated, highly-accurate, bug assignment using machine learning and tossing graphs. J. Syst. Softw. 85 (10) (2012)
Uri Nodelman, Daphne Koller, Christian R. Shelton
Expectation Propagation for Continuous Time Bayesian Networks CoRR (2012)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks CoRR (2012)
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton
Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP (2012)
Guobiao Mei, Christian R. Shelton
Visualization of Collaborative Data. CoRR (2012)
E. Busra Celikkaya, Christian R. Shelton, William Lam
Factored Filtering of Continuous-Time Systems CoRR (2012)
Yu Fan, Christian R. Shelton
Learning Continuous-Time Social Network Dynamics CoRR (2012)
Teddy N. Yap Jr., Mingyang Li, Anastasios I. Mourikis, Christian R. Shelton
A particle filter for monocular vision-aided odometry. ICRA (2011)
Robert A. Hanneman, Christian R. Shelton
Applying modality and equivalence concepts to pattern finding in social process-produced data. Soc. Netw. Anal. Min. 1 (1) (2011)
Ben Blum, Daphne Koller, Christian R. Shelton
A Continuation Method for Nash Equilibria in Structured Games CoRR (2011)
E. Busra Celikkaya, Christian R. Shelton, William Lam
Factored Filtering of Continuous-Time Systems. UAI (2011)
Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu
Continuous Time Bayesian Network Reasoning and Learning Engine. J. Mach. Learn. Res. 11 (2010)
Yu Fan, Jing Xu, Christian R. Shelton
Importance Sampling for Continuous Time Bayesian Networks. J. Mach. Learn. Res. 11 (2010)
Kevin Horan, Christian R. Shelton, Thomas Girke
Predicting conserved protein motifs with Sub-HMMs. BMC Bioinform. 11 (2010)
Antony Lam, Amit K. Roy-Chowdhury, Christian R. Shelton
Interactive Event Search through Transfer Learning. ACCV (3) (2010)
Jing Xu, Christian R. Shelton
Intrusion Detection using Continuous Time Bayesian Networks. J. Artif. Intell. Res. 39 (2010)
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton
Annotating Historical Archives of Images. Int. J. Digit. Libr. Syst. 1 (2) (2010)
Teddy N. Yap Jr., Christian R. Shelton
SLAM in large indoor environments with low-cost, noisy, and sparse sonars. ICRA (2009)
Yu Fan, Christian R. Shelton
Learning Continuous-Time Social Network Dynamics. UAI (2009)
Adriano Macchietto, Victor B. Zordan, Christian R. Shelton
Momentum control for balance. ACM Trans. Graph. 28 (3) (2009)
Kin Fai Kan, Christian R. Shelton
Catenary Support Vector Machines. ECML/PKDD (1) (2008)
Guobiao Mei, Christian R. Shelton
Unsupervised image embedding using nonparametric statistics. ICPR (2008)
Yu Fan, Christian R. Shelton
Sampling for Approximate Inference in Continuous Time Bayesian Networks. ISAIM (2008)
Jing Xu, Christian R. Shelton
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. ECML/PKDD (2) (2008)
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton
Annotating historical archives of images. JCDL (2008)
Kin Fai Kan, Christian R. Shelton
Solving Structured Continuous-Time Markov Decision Processes. ISAIM (2008)
Antony Lam, Christian R. Shelton
Face recognition and alignment using support vector machines. FG (2008)
Teddy N. Yap Jr., Christian R. Shelton
Simultaneous learning of motion and sensor model parameters for mobile robots. ICRA (2008)
Titus Winters, Christian R. Shelton, Tom Payne
Investigating Generative Factors of Score Matrices. AIED (2007)
Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana
Fast time series classification using numerosity reduction. ICML (2006)
Ben Blum, Christian R. Shelton, Daphne Koller
A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. 25 (2006)
Christian R. Shelton, Wesley Huie, Kin Fai Kan
Chained Boosting. NIPS (2006)
Charles Lee Isbell Jr., Michael J. Kearns, Satinder P. Singh, Christian R. Shelton, Peter Stone, David P. Kormann
Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Auton. Agents Multi Agent Syst. 13 (3) (2006)
Uri Nodelman, Daphne Koller, Christian R. Shelton
Expectation Propagation for Continuous Time Bayesian Networks. UAI (2005)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI (2005)
Ben Blum, Christian R. Shelton, Daphne Koller
A Continuation Method for Nash Equilibria in Structured Games. IJCAI (2003)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Learning Continuous Time Bayesian Networks. UAI (2003)
Leonid Peshkin, Christian R. Shelton
Learning from Scarce Experience. ICML (2002)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Continuous Time Bayesian Networks. UAI (2002)
Christian R. Shelton
Reinforcement Learning with Partially Known World Dynamics. UAI (2002)
Leonid Peshkin, Christian R. Shelton
Learning from Scarce Experience CoRR (2002)
Christian R. Shelton
Policy Improvement for POMDPs Using Normalized Importance Sampling. UAI (2001)
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
Cobot: A Social Reinforcement Learning Agent. NIPS (2001)
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
A social reinforcement learning agent. Agents (2001)
Christian R. Shelton
Balancing Multiple Sources of Reward in Reinforcement Learning. NIPS (2000)
Christian R. Shelton
Morphable Surface Models. Int. J. Comput. Vis. 38 (1) (2000)
Tomaso A. Poggio, Christian R. Shelton
Machine Learning, Machine Vision, and the Brain. AI Mag. 20 (3) (1999)
Dan Halperin, Christian R. Shelton
A perturbation scheme for spherical arrangements with application to molecular modeling. Comput. Geom. 10 (4) (1998)
Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
RAPID: Randomized pharmacophore identification for drug design. Comput. Geom. 10 (4) (1998)
Dan Halperin, Christian R. Shelton
A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling. SCG (1997)
Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
RAPID: Randomized Pharmacophore Identification for Drug Design. SCG (1997)
Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian
Geometric Manipulation of Flexible Ligands. WACG (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian R. Shelton