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Masha Itkina
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
- [i14]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024) - [i13]Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh:
Explore until Confident: Efficient Exploration for Embodied Question Answering. CoRR abs/2403.15941 (2024) - [i12]Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar:
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation. CoRR abs/2405.05439 (2024) - 2023
- [c11]Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell:
Occlusion-Aware Crowd Navigation Using People as Sensors. ICRA 2023: 12031-12037 - 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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last updated on 2024-06-14 19:02 CEST by the dblp team
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