| 2024 | AI | Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. | Chris Beeler, Xinkai Li, Colin Bellinger, Mark Crowley, Maia Fraser, Isaac Tamblyn |
| 2023 | ICML | Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. | Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley |
| 2023 | IJCAI | Multi-Agent Advisor Q-Learning (Extended Abstract). | Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley |
| 2022 | AAAI | Decentralized Mean Field Games. | Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart |
| 2022 | AI | Balancing Information with Observation Costs in Deep Reinforcement Learning. | Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn |
| 2022 | AI | Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. | Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley |
| 2022 | CoDIT | Real-Time Pedestrian Detection Using Enhanced Representations from Light-Weight YOLO Network. | Shayan Shirahmad Gale Bagi, Behzad Moshiri, Hossein Gharaee Garakani, Mark Crowley, Pouya Mehrannia |
| 2021 | ACML | Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. | Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley |
| 2021 | AI | Active Measure Reinforcement Learning for Observation Cost Minimization. | Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn |
| 2021 | Interact | Recognition of a Robot's Affective Expressions Under Conditions with Limited Visibility. | Moojan Ghafurian, Sami Alperen Akgun, Mark Crowley, Kerstin Dautenhahn |
| 2020 | AI | Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. | Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn |
| 2020 | AI | Deep Multi Agent Reinforcement Learning for Autonomous Driving. | Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley |
| 2020 | AI | Anomaly Detection and Prototype Selection Using Polyhedron Curvature. | Benyamin Ghojogh, Fakhri Karray, Mark Crowley |
| 2020 | ICMI | Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios. | Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn |
| 2020 | IJCNN | Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. | Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley |
| 2020 | ICPR | Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. | Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh |
| 2020 | ISVC | Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. | Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh |
| 2020 | SMC | Isolation Mondrian Forest for Batch and Online Anomaly Detection. | Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley |
| 2019 | AAAI | Artificial Counselor System for Stock Investment. | Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley |
| 2019 | AI | Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. | Benyamin Ghojogh, Mark Crowley |
| 2018 | AI | Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. | Sriram Ganapathi Subramanian, Mark Crowley |
| 2018 | AI | Decision Assist for Self-driving Cars. | Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley |
| 2016 | ECRTS | Anomaly Detection Using Inter-Arrival Curves for Real-Time Systems. | Mahmoud Salem, Mark Crowley, Sebastian Fischmeister |
| 2013 | AAAI | PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. | Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley |
| 2013 | IJCAI | Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering. | David Poole, Mark Crowley |
| 2011 | AAAI | Policy Gradient Planning for Environmental Decision Making with Existing Simulators. | Mark Crowley, David Poole |
| 2009 | UAI | Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making. | Mark Crowley, John Nelson, David Poole |
| 2007 | AI | Adding Local Constraints to Bayesian Networks. | Mark Crowley, Brent Boerlage, David Poole |