Παρακολούθηση
Ransalu Senanayake
Ransalu Senanayake
Arizona State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.stanford.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Modeling human driving behavior through generative adversarial imitation learning
R Bhattacharyya, B Wulfe, DJ Phillips, A Kuefler, J Morton, R Senanayake, ...
IEEE Transactions on Intelligent Transportation Systems 24 (3), 2874-2887, 2022
1382022
Bayesian hilbert maps for dynamic continuous occupancy mapping
R Senanayake, F Ramos
Conference on Robot Learning, 458-471, 2017
872017
Out-of-distribution detection for automotive perception
J Nitsch, M Itkina, R Senanayake, J Nieto, M Schmidt, R Siegwart, ...
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
852021
Predicting spatio-temporal propagation of seasonal influenza using variational Gaussian process regression
R Senanayake, S O'Callaghan, F Ramos
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
762016
Online parameter estimation for human driver behavior prediction
RP Bhattacharyya, R Senanayake, K Brown, MJ Kochenderfer
2020 American Control Conference (ACC), 301-306, 2020
552020
Spatiotemporal learning of directional uncertainty in urban environments with kernel recurrent mixture density networks
W Zhi, R Senanayake, L Ott, F Ramos
IEEE Robotics and Automation Letters 4 (4), 4306-4313, 2019
402019
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments
R Senanayake, F Ramos
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
392018
Continuous occupancy map fusion with fast bayesian hilbert maps
W Zhi, L Ott, R Senanayake, F Ramos
2019 International Conference on Robotics and Automation (ICRA), 4111-4117, 2019
362019
Time-varying pedestrian flow models for service robots
T Vintr, S Molina, R Senanayake, G Broughton, Z Yan, J Ulrich, TP Kucner, ...
2019 European Conference on Mobile Robots (ECMR), 1-7, 2019
332019
Learning highly dynamic environments with stochastic variational inference
R Senanayake, S O'Callaghan, F Ramos
2017 IEEE International Conference on Robotics and Automation (ICRA), 2532-2539, 2017
322017
Pointing device performance in steering tasks
R Senanayake, RS Goonetilleke
Perceptual and motor skills 122 (3), 886-910, 2016
322016
Disentangling epistemic and aleatoric uncertainty in reinforcement learning
B Charpentier, R Senanayake, M Kochenderfer, S Günnemann
arXiv preprint arXiv:2206.01558, ICML 2022 Workshop on Distribution-Free …, 2022
312022
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.
R Senanayake, A Tompkins, F Ramos
CoRL, 443-455, 2018
312018
Spatio-temporal hilbert maps for continuous occupancy representation in dynamic environments
R Senanayake, L Ott, S O'Callaghan, FT Ramos
Advances in Neural Information Processing Systems 29, 2016
302016
Out of distribution detection and adversarial attacks on deep neural networks for robust medical image analysis
A Uwimana, R Senanayake
arXiv preprint arXiv:2107.04882, ICML 2021 Workshop on Adversarial Machine …, 2021
272021
Double-prong convlstm for spatiotemporal occupancy prediction in dynamic environments
M Toyungyernsub, M Itkina, R Senanayake, MJ Kochenderfer
2021 IEEE International Conference on Robotics and Automation (ICRA), 13931 …, 2021
262021
Dynamic hilbert maps: Real-time occupancy predictions in changing environments
V Guizilini, R Senanayake, F Ramos
2019 International Conference on Robotics and Automation (ICRA), 4091-4097, 2019
262019
A hybrid rule-based and data-driven approach to driver modeling through particle filtering
R Bhattacharyya, S Jung, LA Kruse, R Senanayake, MJ Kochenderfer
IEEE Transactions on Intelligent Transportation Systems 23 (8), 13055-13068, 2021
252021
Evidential sparsification of multimodal latent spaces in conditional variational autoencoders
M Itkina, B Ivanovic, R Senanayake, MJ Kochenderfer, M Pavone
Advances in Neural Information Processing Systems 33, 10235-10246, 2020
252020
A model for combined targeting and tracking tasks in computer applications
R Senanayake, ER Hoffmann, RS Goonetilleke
Experimental Brain Research 231, 367-379, 2013
242013
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