Masha Itkina
Masha Itkina
Toyota Research Institute (TRI)
Verified email at - Homepage
Cited by
Cited by
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
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
M Itkina, K Driggs-Campbell, MJ Kochenderfer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2052-2059, 2019
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
Multi-agent variational occlusion inference using people as sensors
M Itkina, YJ Mun, K Driggs-Campbell, MJ Kochenderfer
2022 International Conference on Robotics and Automation (ICRA), 4585-4591, 2022
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
Attention Augmented ConvLSTM for Environment Prediction
B Lange, M Itkina, MJ Kochenderfer
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Structural implications of fenestrated stent graft misalignment
SA Crawford, M Itkina, MG Doyle, LW Tse, CH Amon, G Roche-Nagle
The Surgeon 16 (2), 89-93, 2018
How do we fail? stress testing perception in autonomous vehicles
H Delecki, M Itkina, B Lange, R Senanayake, MJ Kochenderfer
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Occlusion-aware crowd navigation using people as sensors
YJ Mun, M Itkina, S Liu, K Driggs-Campbell
2023 IEEE International Conference on Robotics and Automation (ICRA), 12031 …, 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
M Itkina, M Kochenderfer
6th Annual Conference on Robot Learning, 2022
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
P Chen, M Itkina, R Senanayake, M Kochenderfer
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Convolutional neural network information fusion based on Dempster-Shafer theory for urban scene understanding
M Itkina, MJ Kochenderfer
Technical report, Stanford University, Stanford, CA, 2017
LOPR: Latent Occupancy PRediction using Generative Models
B Lange, M Itkina, MJ Kochenderfer
arXiv preprint arXiv:2210.01249, 2022
Perception Beyond Sensors Under Uncertainty
M Itkina
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15716 …, 2021
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ...
arXiv preprint arXiv:2403.12945, 2024
Full-Distribution Generalization Bounds for Imitation Learning Policies
JA Vincent, H Nishimura, M Itkina, M Schwager
First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023, 2023
Uncertainty-Aware Spatiotemporal Perception for Autonomous Vehicles
M Itkina …, 2022
Evidential Disambiguation of Latent Multimodality in Conditional Variational Autoencoders
M Itkina, B Ivanovic, R Senanayake, MJ Kochenderfer, M Pavone
Conf. on Neural Information Processing Systems-Workshop on Bayesian Deep …, 2019
Convolutional Neural Network Information Fusion for Urban Scene Understanding
M Itkina
Adversarial Attacks on Image Recognition
M Itkina, Y Wu, B Bahmani
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