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ORCIDMasha Itkina
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2022
[c10]Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. CoRL 2022: 606-617- [c9]Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA 2022: 4585-4591 - [c8]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 - [i11]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) - [i10]Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell:
Occlusion-Aware Crowd Navigation Using People as Sensors. CoRR abs/2210.00552 (2022) - [i9]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
LOPR: Latent Occupancy PRediction using Generative Models. CoRR abs/2210.01249 (2022) - [i8]Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. CoRR abs/2211.08701 (2022) - 2021
- [c7]Masha Itkina:
Perception Beyond Sensors Under Uncertainty. AAAI 2021: 15716-15717 - [c6]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. ICRA 2021: 13931-13937 - [c5]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
Attention Augmented ConvLSTM for Environment Prediction. IROS 2021: 1346-1353 - [c4]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 - [c3]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. NeurIPS 2021: 11565-11576 - [i7]Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. CoRR abs/2109.02173 (2021) - [i6]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. CoRR abs/2110.14182 (2021) - 2020
- [c2]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS 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]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
Attention Augmented ConvLSTM forEnvironment Prediction. CoRR abs/2010.09662 (2020) - [i3]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) - [i2]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
- [c1]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. ITSC 2019: 2052-2059 - [i1]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. CoRR abs/1904.12374 (2019)
Coauthor Index
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