Sotabase

Career

· Graduate Student, MIT CSAIL2021–
· Undergraduate Researcher in Berkeley Artificial Intelligence Research (BAIR), UC Berkeley2019–
· Bachelor's Degree in Computer Science and Math, UC Berkeley2017–
· Assistant Professor in Robotics and AI, Duke University
· Researcher in foundation models for decision making, Google DeepMind

Publications (35)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Computer Vision and Pattern Recognition · 2024
567
cited
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Neural Information Processing Systems · 2024
319
cited
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
North American Chapter of the Association for Computational Linguistics · 2023
310
cited
Open-vocabulary Queryable Scene Representations for Real World Planning
IEEE International Conference on Robotics and Automation · 2022
238
cited
Oops! Predicting Unintentional Action in Video
Computer Vision and Pattern Recognition · 2019
111
cited
SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
IEEE International Conference on Robotics and Automation · 2020
87
cited
Autostacker: a compositional evolutionary learning system
Annual Conference on Genetic and Evolutionary Computation · 2018
86
cited
History-Guided Video Diffusion
International Conference on Machine Learning · 2025
73
cited
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
International Conference on Learning Representations · 2021
61
cited
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
Neural Information Processing Systems · 2024
57
cited
Unsupervised Learning of Visual 3D Keypoints for Control
International Conference on Machine Learning · 2021
44
cited
Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models
IEEE International Conference on Robotics and Automation · 2021
35
cited
Visual behavior modelling for robotic theory of mind
Scientific Reports · 2021
28
cited
Visual Hide and Seek
IEEE Symposium on Artificial Life · 2019
23
cited
Discovering State Variables Hidden in Experimental Data
arXiv.org · 2021
19
cited
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies For Planar Pushing from Pixels
IEEE/RJS International Conference on Intelligent RObots and Systems · 2025
13
cited
Self-Supervised Reinforcement Learning that Transfers using Random Features
Neural Information Processing Systems · 2023
12
cited
The Boombox: Visual Reconstruction from Acoustic Vibrations
Conference on Robot Learning · 2021
12
cited
Visual Perspective Taking for Opponent Behavior Modeling
IEEE International Conference on Robotics and Automation · 2021
12
cited
Full-Body Visual Self-Modeling of Robot Morphologies
arXiv.org · 2021
11
cited
Sotabase
Boyuan Chen | Researcher Profile | Sotabase | Sotabase