Ransalu Senanayake

82 papers A* 13A 7C 1Misc 2Journal 47Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. AAAI Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari
2026	—	`conf`	ExpressivityBench: Can LLMs Communicate Implicitly? EACL (Findings) Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
2026	J	`jnl`	Humanoid Factors: Design Principles for AI Humanoids in Human Worlds. CoRR Xinyuan Liu, Eren Sadikoglu, Ransalu Senanayake, Lixiao Huang
2026	J	`jnl`	LLM Routing as Reasoning: A MaxSAT View. CoRR Son Nguyen, Xinyuan Liu, Ransalu Senanayake
2026	J	`jnl`	Learning to Configure Agentic AI Systems. CoRR Aditya Taparia, Som Sagar, Ransalu Senanayake
2026	J	`jnl`	The Anatomy of Uncertainty in LLMs. CoRR Aditya Taparia, Ransalu Senanayake, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy
2025	A	`conf`	BaTCAVe: Trustworthy Explanations for Robot Behaviors. IROS Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake
2025	J	`jnl`	Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. CoRR Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, Jack Corcoran, Gerardo I. Simari
2025	A*	`conf`	Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations. ICML Aditya Taparia, Som Sagar, Ransalu Senanayake
2025	—	`conf`	Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. AAAI Spring Symposia Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran
2025	J	`jnl`	Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. CoRR Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Jack Corcoran, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian
2025	J	`jnl`	PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies? CoRR Atharva Gundawar, Som Sagar, Ransalu Senanayake
2025	J	`jnl`	Strategic Vantage Selection for Learning Viewpoint-Agnostic Manipulation Policies. CoRR Sreevishakh Vasudevan, Som Sagar, Ransalu Senanayake
2025	J	`jnl`	VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection. CoRR Aditya Taparia, Noel Ngu, Mario A. Leiva, Joshua Shay Kricheli, John Corcoran, Nathaniel D. Bastian, Gerardo I. Simari, Paulo Shakarian, Ransalu Senanayake
2024	J	`jnl`	Explainable Concept Generation through Vision-Language Preference Learning. CoRR Aditya Taparia, Som Sagar, Ransalu Senanayake
2024	J	`jnl`	ExpressivityArena: Can LLMs Express Information Implicitly? CoRR Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
2024	A*	`conf`	Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. ICML Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. CoRR Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather. CoRR Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
2024	J	`jnl`	LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded". CoRR Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds. CoRR Edward Chen, Natalie Dullerud, Thomas Niedermayr, Elizabeth Kidd, Ransalu Senanayake, Pang Wei Koh, Sanmi Koyejo, Carlos Guestrin
2024	J	`jnl`	RoboFail: Analyzing Failures in Robot Learning Policies. CoRR Som Sagar, Ransalu Senanayake
2024	J	`jnl`	The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning. CoRR Ransalu Senanayake
2024	J	`jnl`	Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values. CoRR Ashwin Ramaswamy, Ransalu Senanayake
2024	J	`jnl`	Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making. CoRR Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake
2023	—	`conf`	Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
2023	J	`jnl`	Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
2023	J	`jnl`	Guest Editorial: Special issue on robust machine learning. Mach. Learn. Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong
2023	A*	`conf`	Model Predictive Optimized Path Integral Strategies. ICRA Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
2023	J	`jnl`	Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
2022	—	`conf`	A Gray Box Model for Characterizing Driver Behavior. SafeAI@AAAI Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer
2022	J	`jnl`	A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Trans. Intell. Transp. Syst. Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer
2022	J	`jnl`	CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage. IEEE Robotics Autom. Lett. Malintha Fernando, Ransalu Senanayake, Martin Swany
2022	J	`jnl`	Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning. CoRR Bertrand Charpentier, Ransalu Senanayake, Mykel J. Kochenderfer, Stephan Günnemann
2022	A	`conf`	FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. IROS 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	J	`jnl`	FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. CoRR 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	J	`jnl`	Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks. CoRR Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany
2022	A	`conf`	How Do We Fail? Stress Testing Perception in Autonomous Vehicles. IROS Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer
2022	J	`jnl`	How Do We Fail? Stress Testing Perception in Autonomous Vehicles. CoRR Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer
2022	A*	`conf`	Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. ICRA Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim
2022	J	`jnl`	Model Predictive Optimized Path Integral Strategies. CoRR Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
2022	A	`conf`	Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. IROS Julia Tan, Ransalu Senanayake, Fabio Ramos
2022	J	`jnl`	Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. CoRR Julia Tan, Ransalu Senanayake, Fabio Ramos
2022	—	`conf`	Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. ITSC Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer
2022	J	`jnl`	Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. CoRR Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer
2021	A	`conf`	3D Radar Velocity Maps for Uncertain Dynamic Environments. IROS Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
2021	J	`jnl`	3D Radar Velocity Maps for Uncertain Dynamic Environments. CoRR Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
2021	J	`jnl`	A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering. CoRR Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer
2021	J	`jnl`	CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage. CoRR Malintha Fernando, Ransalu Senanayake, Martin Swany
2021	A*	`conf`	Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. ICRA Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021	A*	`conf`	Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. NeurIPS Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021	J	`jnl`	Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. CoRR Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021	J	`jnl`	Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis. CoRR Anisie Uwimana, Ransalu Senanayake
2021	—	`conf`	Out-of-Distribution Detection for Automotive Perception. ITSC Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
2020	—	`conf`	Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. ITSC Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager
2020	J	`jnl`	Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. CoRR Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager
2020	J	`jnl`	Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. CoRR Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2020	A*	`conf`	Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone
2020	J	`jnl`	Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. CoRR Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone
2020	J	`jnl`	Modeling Human Driving Behavior through Generative Adversarial Imitation Learning. CoRR Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
2020	—	`conf`	Online Domain Adaptation for Occupancy Mapping. Robotics: Science and Systems Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020	J	`jnl`	Online Domain Adaptation for Occupancy Mapping. CoRR Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020	C	`conf`	Online Parameter Estimation for Human Driver Behavior Prediction. ACC Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer
2020	J	`jnl`	Online Parameter Estimation for Human Driver Behavior Prediction. CoRR Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer
2020	J	`jnl`	Out-of-Distribution Detection for Automotive Perception. CoRR Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
2019	A	`conf`	Black Box Quantiles for Kernel Learning. AISTATS Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos
2019	A*	`conf`	Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos
2019	J	`jnl`	Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019	A*	`conf`	Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019	J	`jnl`	Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos
2019	—	`conf`	Time-varying Pedestrian Flow Models for Service Robots. ECMR Tomás Vintr, Sergi Molina Mellado, Ransalu Senanayake, George Broughton, Zhi Yan, Jirí Ulrich, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Filip Majer, Mária Stachová, Achim J. Lilienthal, Tomás Krajník
2018	Misc	`conf`	Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. CoRL Ransalu Senanayake, Anthony Tompkins, Fabio Ramos
2018	A*	`conf`	Building Continuous Occupancy Maps With Moving Robots. AAAI Ransalu Senanayake, Fabio Ramos
2018	A	`conf`	Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments. IROS Ransalu Senanayake, Fabio Ramos
2018	J	`jnl`	Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. CoRR Ransalu Senanayake, Fabio Ramos
2017	Misc	`conf`	Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. CoRL Ransalu Senanayake, Fabio Ramos
2017	A*	`conf`	Learning highly dynamic environments with stochastic variational inference. ICRA Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Tozeto Ramos
2016	A*	`conf`	Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. AAAI Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos
2016	—	`conf`	Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. NIPS Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos
2015	—	`conf`	Moment invariant features for automatic identification of critical malaria parasites. ICIIS Ahalya Ravendran, K. W. T. Roshali T. de Silva, Ransalu Senanayake
2015	J	`jnl`	Targeted-Tracking With Pointing Devices. IEEE Trans. Hum. Mach. Syst. Ransalu Senanayake, Ravindra S. Goonetilleke, Errol R. Hoffmann
2013	—	`conf`	Setting That Mouse for Tracking Tasks. HCI (23) Ransalu Senanayake, Ravindra S. Goonetilleke