14 citations · 17 across the 5 of their papers we have counts for
5 papers
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective
Haoran Zhu, Boyuan Chen, Carter Yang
Vision transformer (ViT) is an attention neural network architecture that is shown to be effective for computer vision tasks. However, compared to ResNet-18 with a similar number o…
On the Origins of Self-Modeling
Robert Kwiatkowski, Yuhang Hu, Boyuan Chen +1
Self-Modeling is the process by which an agent, such as an animal or machine, learns to create a predictive model of its own dynamics. Once captured, this self-model can then allow…
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
Yuhang Hu, Boyuan Chen, Hod Lipson
The ability of robots to model their own dynamics is key to autonomous planning and learning, as well as for autonomous damage detection and recovery. Traditionally, dynamic models…
Full-Body Visual Self-Modeling of Robot Morphologies
Boyuan Chen, Robert Kwiatkowski, Carl Vondrick +1
Internal computational models of physical bodies are fundamental to the ability of robots and animals alike to plan and control their actions. These "self-models" allow robots to c…
The Boombox: Visual Reconstruction from Acoustic Vibrations
Boyuan Chen, Mia Chiquier, Hod Lipson +1
Interacting with bins and containers is a fundamental task in robotics, making state estimation of the objects inside the bin critical. While robots often use cameras for state est…