| 2026 | WACV | Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation. | Manyi Yao, Abhishek Aich, Yumin Suh, Amit K. Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker |
| 2024 | ECAI | Comparing Lossless Compression Methods for Chess Endgame Data. | Dave Gomboc, Christian R. Shelton, Andrew S. Miner, Gianfranco Ciardo |
| 2023 | AISTATS | Variational Inference for Neyman-Scott Processes. | Chengkuan Hong, Christian R. Shelton |
| 2022 | AISTATS | Deep Neyman-Scott Processes. | Chengkuan Hong, Christian R. Shelton |
| 2021 | SIGCSE | Developing an Interdisciplinary Data Science Program. | Mariam Salloum, Daniel R. Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian R. Shelton, Vassilis J. Tsotras, Shuheng Zhou |
| 2021 | RTSS | Data-Driven Structured Thermal Modeling for COTS Multi-core Processors. | Seyedmehdi Hosseinimotlagh, Daniel Enright, Christian R. Shelton, Hyoseung Kim |
| 2020 | ECAI | CDeepEx: Contrastive Deep Explanations. | Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang |
| 2020 | SDM | 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 |
| 2019 | ICDAR | 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 |
| 2018 | AAAI | Hawkes Process Inference With Missing Data. | Christian R. Shelton, Zhen Qin, Chandini Shetty |
| 2018 | IUI | Explaining Contrasting Categories. | Michael J. Pazzani, Amir Feghahati, Christian R. Shelton, Aaron R. Seitz |
| 2015 | ICML | Faster cover trees. | Mike Izbicki, Christian R. Shelton |
| 2015 | UAI | Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. | Zhen Qin, Christian R. Shelton |
| 2014 | ICML | Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. | E. Busra Celikkaya, Christian R. Shelton |
| 2012 | CVPR | Improving multi-target tracking via social grouping. | Zhen Qin, Christian R. Shelton |
| 2012 | ICIP | Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. | Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton |
| 2011 | ICRA | A particle filter for monocular vision-aided odometry. | Teddy N. Yap Jr., Mingyang Li, Anastasios I. Mourikis, Christian R. Shelton |
| 2011 | UAI | Factored Filtering of Continuous-Time Systems. | E. Busra Celikkaya, Christian R. Shelton, William Lam |
| 2010 | ACCV | Interactive Event Search through Transfer Learning. | Antony Lam, Amit K. Roy-Chowdhury, Christian R. Shelton |
| 2009 | ICRA | SLAM in large indoor environments with low-cost, noisy, and sparse sonars. | Teddy N. Yap Jr., Christian R. Shelton |
| 2009 | UAI | Learning Continuous-Time Social Network Dynamics. | Yu Fan, Christian R. Shelton |
| 2008 | ICPR | Unsupervised image embedding using nonparametric statistics. | Guobiao Mei, Christian R. Shelton |
| 2008 | ISAIM | Sampling for Approximate Inference in Continuous Time Bayesian Networks. | Yu Fan, Christian R. Shelton |
| 2008 | ISAIM | Solving Structured Continuous-Time Markov Decision Processes. | Kin Fai Kan, Christian R. Shelton |
| 2008 | ICRA | Simultaneous learning of motion and sensor model parameters for mobile robots. | Teddy N. Yap Jr., Christian R. Shelton |
| 2007 | AIED | Investigating Generative Factors of Score Matrices. | Titus Winters, Christian R. Shelton, Tom Payne |
| 2006 | ICML | Fast time series classification using numerosity reduction. | Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana |
| 2005 | UAI | Expectation Propagation for Continuous Time Bayesian Networks. | Uri Nodelman, Daphne Koller, Christian R. Shelton |
| 2005 | UAI | Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. | Uri Nodelman, Christian R. Shelton, Daphne Koller |
| 2003 | IJCAI | A Continuation Method for Nash Equilibria in Structured Games. | Ben Blum, Christian R. Shelton, Daphne Koller |
| 2003 | UAI | Learning Continuous Time Bayesian Networks. | Uri Nodelman, Christian R. Shelton, Daphne Koller |
| 2002 | ICML | Learning from Scarce Experience. | Leonid Peshkin, Christian R. Shelton |
| 2002 | UAI | Continuous Time Bayesian Networks. | Uri Nodelman, Christian R. Shelton, Daphne Koller |
| 2002 | UAI | Reinforcement Learning with Partially Known World Dynamics. | Christian R. Shelton |
| 2001 | UAI | Policy Improvement for POMDPs Using Normalized Importance Sampling. | Christian R. Shelton |