Geometric Manipulation of Flexible Ligands. - Paul W. Finn; Dan Halperin; Lydia E. Kavraki; Jean-Claude Latombe; Rajeev Motwani 001; Christian R. Shelton; Suresh Venkatasubramanian (WACG, 1996)

RAPID: Randomized pharmacophore identification for drug design. - Paul W. Finn; Lydia E. Kavraki; Jean-Claude Latombe; Rajeev Motwani 001; Christian R. Shelton; Suresh Venkatasubramanian; Andrew Chi-Chih Yao (Comput. Geom., 1998)

A perturbation scheme for spherical arrangements with application to molecular modeling. - Dan Halperin; Christian R. Shelton (Comput. Geom., 1998)

Machine Learning, Machine Vision, and the Brain. - Tomaso A. Poggio; Christian R. Shelton (AI Mag., 1999)

Balancing Multiple Sources of Reward in Reinforcement Learning. - Christian R. Shelton (NIPS, 2000)

Morphable Surface Models. - Christian R. Shelton (Int. J. Comput. Vis., 2000)

A social reinforcement learning agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (Agents, 2001)

Cobot: A Social Reinforcement Learning Agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (NIPS, 2001)

Policy Improvement for POMDPs Using Normalized Importance Sampling. - Christian R. Shelton (UAI, 2001)

Importance sampling for reinforcement learning with multiple objectives. - Christian R. Shelton (2001)

Learning from Scarce Experience. - Leonid Peshkin; Christian R. Shelton (ICML, 2002)

Continuous Time Bayesian Networks. - Uri Nodelman; Christian R. Shelton; Daphne Koller (UAI, 2002)

Reinforcement Learning with Partially Known World Dynamics. - Christian R. Shelton (UAI, 2002)

Learning Continuous Time Bayesian Networks. - Uri Nodelman; Christian R. Shelton; Daphne Koller (UAI, 2003)

Expectation Propagation for Continuous Time Bayesian Networks. - Uri Nodelman; Daphne Koller; Christian R. Shelton (UAI, 2005)

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. - Uri Nodelman; Christian R. Shelton; Daphne Koller (UAI, 2005)

Fast time series classification using numerosity reduction. - Xiaopeng Xi; Eamonn J. Keogh; Christian R. Shelton; Li Wei 001; Chotirat Ann Ratanamahatana (ICML, 2006)

Chained Boosting. - Christian R. Shelton; Wesley Huie; Kin Fai Kan (NIPS, 2006)

Cobot in LambdaMOO: An Adaptive Social Statistics Agent. - Charles Lee Isbell Jr.; Michael J. Kearns; Satinder Singh 001; Christian R. Shelton; Peter Stone 001; David P. Kormann (Auton. Agents Multi Agent Syst., 2006)

A Continuation Method for Nash Equilibria in Structured Games. - Ben Blum; Christian R. Shelton; Daphne Koller (J. Artif. Intell. Res., 2006)

Investigating Generative Factors of Score Matrices. - Titus Winters; Christian R. Shelton; Tom Payne (AIED, 2007)

Face recognition and alignment using support vector machines. - Antony Lam; Christian R. Shelton (FG, 2008)

Unsupervised image embedding using nonparametric statistics. - Guobiao Mei; Christian R. Shelton (ICPR, 2008)

Simultaneous learning of motion and sensor model parameters for mobile robots. - Teddy N. Yap Jr.; Christian R. Shelton (ICRA, 2008)

Sampling for Approximate Inference in Continuous Time Bayesian Networks. - Yu Fan 002; Christian R. Shelton (ISAIM, 2008)

Solving Structured Continuous-Time Markov Decision Processes. - Kin Fai Kan; Christian R. Shelton (ISAIM, 2008)

Catenary Support Vector Machines. - Kin Fai Kan; Christian R. Shelton (ECML/PKDD (1), 2008)

Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. - Jing Xu 009; Christian R. Shelton (ECML/PKDD (2), 2008)

SLAM in large indoor environments with low-cost, noisy, and sparse sonars. - Teddy N. Yap Jr.; Christian R. Shelton (ICRA, 2009)

Learning Continuous-Time Social Network Dynamics. - Yu Fan 002; Christian R. Shelton (UAI, 2009)

Momentum control for balance. - Adriano Macchietto; Victor B. Zordan; Christian R. Shelton (ACM Trans. Graph., 2009)

Interactive Event Search through Transfer Learning. - Antony Lam; Amit K. Roy-Chowdhury; Christian R. Shelton (ACCV (3), 2010)

Predicting conserved protein motifs with Sub-HMMs. - Kevin Horan; Christian R. Shelton; Thomas Girke (BMC Bioinform., 2010)

Annotating Historical Archives of Images. - Xiaoyue Wang 004; Lexiang Ye; Eamonn J. Keogh; Christian R. Shelton (Int. J. Digit. Libr. Syst., 2010)

Intrusion Detection using Continuous Time Bayesian Networks. - Jing Xu 009; Christian R. Shelton (J. Artif. Intell. Res., 2010)

Importance Sampling for Continuous Time Bayesian Networks. - Yu Fan 002; Jing Xu 009; Christian R. Shelton (J. Mach. Learn. Res., 2010)

Continuous Time Bayesian Network Reasoning and Learning Engine. - Christian R. Shelton; Yu Fan 002; William Lam; Joon Lee; Jing Xu 009 (J. Mach. Learn. Res., 2010)

A particle filter for monocular vision-aided odometry. - Teddy N. Yap Jr.; Mingyang Li 001; Anastasios I. Mourikis; Christian R. Shelton (ICRA, 2011)

Factored Filtering of Continuous-Time Systems. - E. Busra Celikkaya; Christian R. Shelton; William Lam (UAI, 2011)

Applying modality and equivalence concepts to pattern finding in social process-produced data. - Robert A. Hanneman; Christian R. Shelton (Soc. Netw. Anal. Min., 2011)

Improving multi-target tracking via social grouping. - Zhen Qin 001; Christian R. Shelton (CVPR, 2012)

Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. - Lunshao Chai; Zhen Qin 001; Honggang Zhang 002; Jun Guo 002; Christian R. Shelton (ICIP, 2012)

Visualization of Collaborative Data. - Guobiao Mei; Christian R. Shelton (CoRR, 2012)

Automated, highly-accurate, bug assignment using machine learning and tossing graphs. - Pamela Bhattacharya; Iulian Neamtiu; Christian R. Shelton (J. Syst. Softw., 2012)

Social grouping for target handover in multi-view video. - Zhen Qin 001; Christian R. Shelton; Lunshao Chai (ICME, 2013)

A new criterion function for exploratory blockmodeling for structural and regular equivalence. - Juan I. Casse; Christian R. Shelton; Robert A. Hanneman (Soc. Networks, 2013)

Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. - E. Busra Celikkaya; Christian R. Shelton (ICML, 2014)

Tutorial on Structured Continuous-Time Markov Processes. - Christian R. Shelton; Gianfranco Ciardo (J. Artif. Intell. Res., 2014)

Faster cover trees. - Mike Izbicki; Christian R. Shelton (ICML, 2015)

Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. - Zhen Qin 001; Christian R. Shelton (UAI, 2015)

Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. - Zhen Qin 001; Christian R. Shelton (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Identification of destabilizing attacks in power systems. - Mike Izbicki; Sajjad Amini; Christian R. Shelton; Hamed Mohsenian Rad (ACC, 2017)

Marked Point Process for Severity of Illness Assessment. - Kazi T. Islam; Christian R. Shelton; Juan I. Casse; Randall C. Wetzel (MLHC, 2017)

Event Detection in Continuous Video: An Inference in Point Process Approach. - Zhen Qin 001; Christian R. Shelton (IEEE Trans. Image Process., 2017)

Hawkes Process Inference With Missing Data. - Christian R. Shelton; Zhen Qin 001; Chandini Shetty (AAAI, 2018)

Explaining Contrasting Categories. - Michael J. Pazzani; Amir Feghahati; Christian R. Shelton; Aaron R. Seitz (IUI Workshops, 2018)

Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation. - Jacob Fauber; Christian R. Shelton (MLHC, 2018)

CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments. - Amirali Darvishzadeh; Thomas F. Stahovich; Amir Feghahati; Negin Entezari; Shaghayegh Gharghabi; Reed Kanemaru; Christian R. Shelton (ICDAR, 2019)

Distributed Learning of Neural Networks with One Round of Communication. - Mike Izbicki; Christian R. Shelton (PKDD/ECML Workshops (1), 2019)

Distributed Learning of Non-convex Linear Models with One Round of Communication. - Mike Izbicki; Christian R. Shelton (ECML/PKDD (2), 2019)

CDeepEx: Contrastive Deep Explanations. - Amir Feghahati; Christian R. Shelton; Michael J. Pazzani; Kevin Tang (ECAI, 2020)

Features or Shape? Tackling the False Dichotomy of Time Series Classification. - Sara Alaee; Alireza Abdoli; Christian R. Shelton; Amy C. Murillo; Alec C. Gerry; Eamonn J. Keogh (SDM, 2020)

Chess Endgame Compression via Logic Minimization. - Dave Gomboc; Christian R. Shelton (ACG, 2021)

Data-Driven Structured Thermal Modeling for COTS Multi-core Processors. - Seyedmehdi Hosseinimotlagh; Daniel Enright; Christian R. Shelton; Hyoseung Kim 001 (RTSS, 2021)

Developing an Interdisciplinary Data Science Program. - Mariam Salloum; Daniel R. Jeske; Wenxiu Ma; Vagelis Papalexakis; Christian R. Shelton; Vassilis J. Tsotras; Shuheng Zhou 002 (SIGCSE, 2021)

Convolutional Deep Exponential Families. - Chengkuan Hong; Christian R. Shelton (CoRR, 2021)

NIC-CAGE: An open-source software package for predicting optimal control fields in photo-excited chemical systems. - Akber Raza; Chengkuan Hong; Xian Wang; Anshuman Kumar 001; Christian R. Shelton; Bryan M. Wong (Comput. Phys. Commun., 2021)

Deep Neyman-Scott Processes. - Chengkuan Hong; Christian R. Shelton (AISTATS, 2022)

Variational Inference for Neyman-Scott Processes. - Chengkuan Hong; Christian R. Shelton (AISTATS, 2023)

High-dimensional multi-fidelity Bayesian optimization for quantum control. - Marjuka F. Lazin; Christian R. Shelton; Simon N. Sandhofer; Bryan M. Wong (Mach. Learn. Sci. Technol., 2023)

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. - Yujia Zhai; Elisabeth Giem; Kai Zhao 008; Jinyang Liu 003; Jiajun Huang 001; Bryan M. Wong; Christian R. Shelton; Zizhong Chen (IEEE Trans. Parallel Distributed Syst., 2023)

Comparing Lossless Compression Methods for Chess Endgame Data. - Dave Gomboc; Christian R. Shelton; Andrew S. Miner; Gianfranco Ciardo (ECAI, 2024)

Efficient Transformer Encoders for Mask2Former-style models. - Manyi Yao; Abhishek Aich; Yumin Suh; Amit Roy-Chowdhury 001; Christian R. Shelton; Manmohan Chandraker (CoRR, 2024)