2 citations · 2 across the 6 of their papers we have counts for
6 papers
SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery
Jiamin Wu, Peishan Xiang, Jingyang Chen +26
Modern neuroscience relies on integrating multi-scale, multimodal datasets to uncover the neural principles underlying intelligence. However, analytical challenges posed by highly…
Training People to Reward Robots
Endong Sun, Yuqing Zhu, Matthew Howard
Learning from demonstration (LfD) is a technique that allows expert teachers to teach task-oriented skills to robotic systems. However, the most effective way of guiding novice tea…
Using Machine Teaching to Boost Novices' Robot Teaching Skill
Yuqing Zhu, Endong Sun, Matthew Howard
Recent evidence has shown that, contrary to expectations, it is difficult for users, especially novices, to teach robots tasks through LfD. This paper introduces a framework that l…
Make A Long Image Short: Adaptive Token Length for Vision Transformers
Qiqi Zhou, Yichen Zhu
The vision transformer is a model that breaks down each image into a sequence of tokens with a fixed length and processes them similarly to words in natural language processing. Al…
Make A Long Image Short: Adaptive Token Length for Vision Transformers
Yichen Zhu, Yuqin Zhu, Jie Du +4
The vision transformer splits each image into a sequence of tokens with fixed length and processes the tokens in the same way as words in natural language processing. More tokens n…
Hereditary atomicity in integral domains
Jim Coykendall, Felix Gotti, Richard Hasenauer
If every subring of an integral domain is atomic, then we say that the latter is hereditarily atomic. In this paper, we study hereditarily atomic domains. First, we characterize wh…