Masha Itkina

Affiliations:
  • Stanford University, CA, USA


According to our database1, Masha Itkina authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Explore until Confident: Efficient Exploration for Embodied Question Answering.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

2023
Occlusion-Aware Crowd Navigation Using People as Sensors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
LOPR: Latent Occupancy PRediction using Generative Models.
CoRR, 2022

How Do We Fail? Stress Testing Perception in Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Agent Variational Occlusion Inference Using People as Sensors.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction.
Proceedings of the Conference on Robot Learning, 2022

2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out-of-Distribution Detection for Automotive Perception.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Attention Augmented ConvLSTM for Environment Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Perception Beyond Sensors Under Uncertainty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Attention Augmented ConvLSTM forEnvironment Prediction.
CoRR, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


  Loading...