| 2026 | AAAI | Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. | Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari |
| 2026 | EACL | ExpressivityBench: Can LLMs Communicate Implicitly? | Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake |
| 2025 | ICML | Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations. | Aditya Taparia, Som Sagar, Ransalu Senanayake |
| 2025 | IROS | BaTCAVe: Trustworthy Explanations for Robot Behaviors. | Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake |
| 2024 | ICML | Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. | Som Sagar, Aditya Taparia, Ransalu Senanayake |
| 2023 | ICRA | Model Predictive Optimized Path Integral Strategies. | Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer |
| 2022 | AAAI | A Gray Box Model for Characterizing Driver Behavior. | Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2022 | ICRA | Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. | Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim |
| 2022 | IROS | How Do We Fail? Stress Testing Perception in Autonomous Vehicles. | Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2022 | IROS | FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. | Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-akbar Agha-mohammadi |
| 2022 | IROS | Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. | Julia Tan, Ransalu Senanayake, Fabio Ramos |
| 2021 | IROS | 3D Radar Velocity Maps for Uncertain Dynamic Environments. | Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer |
| 2021 | ICRA | Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. | Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer |
| 2019 | AISTATS | Black Box Quantiles for Kernel Learning. | Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos |
| 2019 | ICRA | Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. | Vitor Guizilini, Ransalu Senanayake, Fabio Ramos |
| 2019 | ICRA | Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. | Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos |
| 2018 | AAAI | Building Continuous Occupancy Maps With Moving Robots. | Ransalu Senanayake, Fabio Ramos |
| 2018 | CoRL | Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. | Ransalu Senanayake, Anthony Tompkins, Fabio Ramos |
| 2018 | IROS | Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments. | Ransalu Senanayake, Fabio Ramos |
| 2017 | CoRL | Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. | Ransalu Senanayake, Fabio Ramos |
| 2017 | ICRA | Learning highly dynamic environments with stochastic variational inference. | Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Tozeto Ramos |
| 2016 | AAAI | Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. | Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos |
| 2013 | HCI | Setting That Mouse for Tracking Tasks. | Ransalu Senanayake, Ravindra S. Goonetilleke |