Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. - Masha Itkina; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ITSC, 2019)

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. - Masha Itkina; Boris Ivanovic; Ransalu Senanayake; Mykel J. Kochenderfer; Marco Pavone 001 (NeurIPS, 2020)

Attention Augmented ConvLSTM forEnvironment Prediction. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (CoRR, 2020)

Perception Beyond Sensors Under Uncertainty. - Masha Itkina (AAAI, 2021)

Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. - Maneekwan Toyungyernsub; Masha Itkina; Ransalu Senanayake; Mykel J. Kochenderfer (ICRA, 2021)

Attention Augmented ConvLSTM for Environment Prediction. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (IROS, 2021)

Out-of-Distribution Detection for Automotive Perception. - Julia Nitsch; Masha Itkina; Ransalu Senanayake; Juan I. Nieto 001; Max Schmidt; Roland Siegwart; Mykel J. Kochenderfer; Cesar Cadena 001 (ITSC, 2021)

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. - Phil Chen; Masha Itkina; Ransalu Senanayake; Mykel J. Kochenderfer (NeurIPS, 2021)

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. - Masha Itkina; Mykel J. Kochenderfer (CoRL, 2022)

Multi-Agent Variational Occlusion Inference Using People as Sensors. - Masha Itkina; Ye-Ji Mun; Katherine Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2022)

How Do We Fail? Stress Testing Perception in Autonomous Vehicles. - Harrison Delecki; Masha Itkina; Bernard Lange; Ransalu Senanayake; Mykel J. Kochenderfer (IROS, 2022)

LOPR: Latent Occupancy PRediction using Generative Models. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (CoRR, 2022)

Occlusion-Aware Crowd Navigation Using People as Sensors. - Ye-Ji Mun; Masha Itkina; Shuijing Liu; Katherine Driggs-Campbell (ICRA, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

Explore until Confident: Efficient Exploration for Embodied Question Answering. - Allen Z. Ren; Jaden Clark; Anushri Dixit; Masha Itkina; Anirudha Majumdar; Dorsa Sadigh (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. - Bernard Lange; Masha Itkina; Jiachen Li 001; Mykel J. Kochenderfer (CoRR, 2024)

How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation. - Joseph A. Vincent; Haruki Nishimura; Masha Itkina; Paarth Shah; Mac Schwager; Thomas Kollar (IEEE Robotics Autom. Lett., 2024)

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. - Kyle Beltran Hatch; Ashwin Balakrishna; Oier Mees; Suraj Nair 003; Seohong Park; Blake Wulfe; Masha Itkina; Benjamin Eysenbach; Sergey Levine; Thomas Kollar; Benjamin Burchfiel (ICRA, 2025)

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies. - Chen Xu; Tony Khuong Nguyen; Emma Dixon; Christopher Rodriguez; Patrick Tree Miller; Robert Lee; Paarth Shah; Rares Ambrus; Haruki Nishimura; Masha Itkina (CoRR, 2025)

Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping. - David Snyder; Asher J. Hancock; Apurva Badithela; Emma Dixon; Patrick Tree Miller; Rares Andrei Ambrus; Anirudha Majumdar; Masha Itkina; Haruki Nishimura (CoRR, 2025)

STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation. - Hossein Goli; Michael Gimelfarb; Nathan Samuel de Lara; Haruki Nishimura; Masha Itkina; Florian Shkurti (CoRR, 2025)

SAFE: Multitask Failure Detection for Vision-Language-Action Models. - Qiao Gu; Yuanliang Ju; Shengxiang Sun; Igor Gilitschenski; Haruki Nishimura; Masha Itkina; Florian Shkurti (CoRR, 2025)

CUPID: Curating Data your Robot Loves with Influence Functions. - Christopher Agia; Rohan Sinha; Jingyun Yang; Rika Antonova; Marco Pavone 001; Haruki Nishimura; Masha Itkina; Jeannette Bohg (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning. - Kevin Huang; Rosario Scalise; Cleah Winston; Ayush Agrawal; Yunchu Zhang; Rohan Baijal; Markus Grotz; Byron Boots; Benjamin Burchfiel; Masha Itkina; Paarth Shah; Abhishek Gupta 004 (CoRR, 2025)