Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome. - Maximilian Du (CoRR, 2019)

Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions. - Maximilian Du (CoRR, 2019)

Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning. - Maximilian Du; Olivia Y. Lee; Suraj Nair 003; Chelsea Finn (Robotics: Science and Systems, 2022)

BridgeData V2: A Dataset for Robot Learning at Scale. - Homer Rich Walke; Kevin Black; Tony Z. Zhao; Quan Vuong; Chongyi Zheng; Philippe Hansen-Estruch; Andre Wang He; Vivek Myers; Moo Jin Kim; Max Du; Abraham Lee; Kuan Fang; et al. (CoRL, 2023)

Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets. - Maximilian Du; Suraj Nair 003; Dorsa Sadigh; Chelsea Finn (Robotics: Science and Systems, 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)

To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment. - Maximilian Du; Alexander Khazatsky; Tobias Gerstenberg; Chelsea Finn (CoRR, 2024)

Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling. - Yuejiang Liu; Jubayer Ibn Hamid; Annie Xie; Yoonho Lee 001; Maximilian Du; Chelsea Finn (CoRR, 2024)

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. - Yuejiang Liu; Jubayer Ibn Hamid; Annie Xie; Yoonho Lee 001; Max Du; Chelsea Finn (ICLR, 2025)

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance. - Maximilian Du; Shuran Song (CoRR, 2025)