Ransalu Senanayake

According to our database, Ransalu Senanayake authored at least 46 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded".

Som Sagar, Aditya Taparia, Ransalu Senanayake

CoRR, 2024

Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making.

Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake

CoRR, 2024

Explainable Concept Generation through Vision-Language Preference Learning.

Aditya Taparia, Som Sagar, Ransalu Senanayake

CoRR, 2024

Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values.

Ashwin Ramaswamy, Ransalu Senanayake

CoRR, 2024

Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather.

Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake

CoRR, 2024

The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning.

Ransalu Senanayake

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning.

Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer

IEEE Trans. Intell. Transp. Syst., March, 2023

Guest Editorial: Special issue on robust machine learning.

Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong

Mach. Learn., 2023

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility.

Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Model Predictive Optimized Path Integral Strategies.

Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering.

Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer

IEEE Trans. Intell. Transp. Syst., 2022

CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage.

Malintha Fernando, Ransalu Senanayake, Martin Swany

IEEE Robotics Autom. Lett., 2022

Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning.

Bertrand Charpentier, Ransalu Senanayake, Mykel J. Kochenderfer, Stephan Günnemann

CoRR, 2022

Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks.

Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany

CoRR, 2022

Uncertainty-Aware Online Merge Planning with Learned Driver Behavior.

Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills.

Julia Tan, Ransalu Senanayake, Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

How Do We Fail? Stress Testing Perception in Autonomous Vehicles.

Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling.

Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Gray Box Model for Characterizing Driver Behavior.

Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis.

Anisie Uwimana, Ransalu Senanayake

CoRR, 2021

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models.

Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out-of-Distribution Detection for Automotive Perception.

Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

3D Radar Velocity Maps for Uncertain Dynamic Environments.

Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments.

Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Online Domain Adaptation for Occupancy Mapping.

Anthony Tompkins, Ransalu Senanayake, Fabio Ramos

Proceedings of the Robotics: Science and Systems XVI, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.

Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments.

Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Online Parameter Estimation for Human Driver Behavior Prediction.

Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer

Proceedings of the 2020 American Control Conference, 2020

2019

Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.

Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos

IEEE Robotics Autom. Lett., 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment.

Vitor Guizilini, Ransalu Senanayake, Fabio Ramos

CoRR, 2019

Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.

Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos

Proceedings of the International Conference on Robotics and Automation, 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments.

Vitor Guizilini, Ransalu Senanayake, Fabio Ramos

Proceedings of the International Conference on Robotics and Automation, 2019

Time-varying Pedestrian Flow Models for Service Robots.

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

Proceedings of the 2019 European Conference on Mobile Robots, 2019

Black Box Quantiles for Kernel Learning.

Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments.

Ransalu Senanayake, Fabio Ramos

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.

Ransalu Senanayake, Anthony Tompkins, Fabio Ramos

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Building Continuous Occupancy Maps With Moving Robots.

Ransalu Senanayake, Fabio Ramos

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning highly dynamic environments with stochastic variational inference.

Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Tozeto Ramos

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping.

Ransalu Senanayake, Fabio Ramos

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments.

Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression.

Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Targeted-Tracking With Pointing Devices.

Ransalu Senanayake, Ravindra S. Goonetilleke, Errol R. Hoffmann

IEEE Trans. Hum. Mach. Syst., 2015

Moment invariant features for automatic identification of critical malaria parasites.

Ahalya Ravendran, K. W. T. Roshali T. de Silva, Ransalu Senanayake

Proceedings of the 10th IEEE International Conference on Industrial and Information Systems, 2015

2013

Setting That Mouse for Tracking Tasks.

Ransalu Senanayake, Ravindra S. Goonetilleke

Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management. Human Body Modeling and Ergonomics, 2013