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ORCIDRansalu Senanayake
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2020 – today
- 2024
[c30]Som Sagar, Aditya Taparia, Ransalu Senanayake:
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. ICML 2024- [i28]Ransalu Senanayake:
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning. CoRR abs/2405.03164 (2024) - [i27]Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake:
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather. CoRR abs/2406.00219 (2024) - [i26]Som Sagar, Aditya Taparia, Ransalu Senanayake:
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. CoRR abs/2406.07145 (2024) - [i25]Ashwin Ramaswamy, Ransalu Senanayake:
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values. CoRR abs/2407.10335 (2024) - [i24]Aditya Taparia, Som Sagar, Ransalu Senanayake:
Explainable Concept Generation through Vision-Language Preference Learning. CoRR abs/2408.13438 (2024) - [i23]Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake:
Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making. CoRR abs/2409.10733 (2024) - 2023
- [j6]Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio
, Dragos D. Margineantu, Cheng Soon Ong:
Guest Editorial: Special issue on robust machine learning. Mach. Learn. 112(8): 2787-2789 (2023) - [j5]Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. 24(3): 2874-2887 (2023) - [c29]Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer:
Model Predictive Optimized Path Integral Strategies. ICRA 2023: 3182-3188 - [c28]Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems 2023 - [i22]Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR abs/2302.07337 (2023) - 2022
- [j4]Malintha Fernando, Ransalu Senanayake, Martin Swany:
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage. IEEE Robotics Autom. Lett. 7(3): 5966-5973 (2022) - [j3]Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Trans. Intell. Transp. Syst. 23(8): 13055-13068 (2022) - [c27]Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer:
A Gray Box Model for Characterizing Driver Behavior. SafeAI@AAAI 2022 - [c26]Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim:
Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. ICRA 2022: 5939-5945 - [c25]Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer:
How Do We Fail? Stress Testing Perception in Autonomous Vehicles. IROS 2022: 5139-5146 - [c24]Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. IROS 2022: 7052-7059 - [c23]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:
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. IROS 2022: 8754-8761 - [c22]Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. ITSC 2022: 1202-1207 - [i21]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:
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. CoRR abs/2203.06316 (2022) - [i20]Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer:
How Do We Fail? Stress Testing Perception in Autonomous Vehicles. CoRR abs/2203.14155 (2022) - [i19]Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer:
Model Predictive Optimized Path Integral Strategies. CoRR abs/2203.16633 (2022) - [i18]Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany:
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks. CoRR abs/2205.02203 (2022) - [i17]Bertrand Charpentier, Ransalu Senanayake, Mykel J. Kochenderfer, Stephan Günnemann:
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning. CoRR abs/2206.01558 (2022) - [i16]Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. CoRR abs/2207.00978 (2022) - [i15]Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. CoRR abs/2207.05228 (2022) - 2021
- [c21]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. ICRA 2021: 13931-13937 - [c20]Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer:
3D Radar Velocity Maps for Uncertain Dynamic Environments. IROS 2021: 4854-4860 - [c19]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. ITSC 2021: 2938-2943 - [c18]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. NeurIPS 2021: 11565-11576 - [i14]Anisie Uwimana, Ransalu Senanayake:
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis. CoRR abs/2107.04882 (2021) - [i13]Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer:
3D Radar Velocity Maps for Uncertain Dynamic Environments. CoRR abs/2107.11039 (2021) - [i12]Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering. CoRR abs/2108.12820 (2021) - [i11]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. CoRR abs/2110.14182 (2021) - [i10]Malintha Fernando, Ransalu Senanayake, Martin Swany:
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage. CoRR abs/2111.04576 (2021) - 2020
- [c17]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. ACC 2020: 301-306 - [c16]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. ITSC 2020: 1-6 - [c15]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS 2020 - [c14]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. Robotics: Science and Systems 2020 - [i9]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. CoRR abs/2005.02597 (2020) - [i8]Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning. CoRR abs/2006.06412 (2020) - [i7]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. CoRR abs/2007.00161 (2020) - [i6]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. CoRR abs/2007.00164 (2020) - [i5]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. CoRR abs/2010.09164 (2020) - [i4]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. CoRR abs/2011.01413 (2020) - [i3]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. CoRR abs/2011.09045 (2020)
2010 – 2019
- 2019
- [j2]Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos:
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. 4(4): 4306-4313 (2019) - [c13]Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos:
Black Box Quantiles for Kernel Learning. AISTATS 2019: 1427-1437 - [c12]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:
Time-varying Pedestrian Flow Models for Service Robots. ECMR 2019: 1-7 - [c11]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA 2019: 4091-4097 - [c10]Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos:
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA 2019: 4111-4117 - [i2]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR abs/1912.02149 (2019) - 2018
- [c9]Ransalu Senanayake, Fabio Ramos:
Building Continuous Occupancy Maps With Moving Robots. AAAI 2018: 6532-6539 - [c8]Ransalu Senanayake, Anthony Tompkins, Fabio Ramos:
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. CoRL 2018: 443-455 - [c7]Ransalu Senanayake, Fabio Ramos:
Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments. IROS 2018: 3241-3248 - [i1]Ransalu Senanayake, Fabio Ramos:
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. CoRR abs/1809.00498 (2018) - 2017
- [c6]Ransalu Senanayake, Fabio Ramos:
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. CoRL 2017: 458-471 - [c5]Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Learning highly dynamic environments with stochastic variational inference. ICRA 2017: 2532-2539 - 2016
- [c4]Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos:
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. AAAI 2016: 3901-3907 - [c3]Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. NIPS 2016: 3918-3926 - 2015
- [j1]Ransalu Senanayake, Ravindra S. Goonetilleke, Errol R. Hoffmann:
Targeted-Tracking With Pointing Devices. IEEE Trans. Hum. Mach. Syst. 45(4): 431-441 (2015) - [c2]Ahalya Ravendran, K. W. T. Roshali T. de Silva, Ransalu Senanayake:
Moment invariant features for automatic identification of critical malaria parasites. ICIIS 2015: 474-479 - 2013
- [c1]Ransalu Senanayake, Ravindra S. Goonetilleke:
Setting That Mouse for Tracking Tasks. HCI (23) 2013: 276-281
Coauthor Index
aka: Fabio Tozeto Ramos
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last updated on 2024-10-15 21:41 CEST by the dblp team
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