In the earliest stages of life, mammalian embryos start as a disorganized cluster of cells. As development progresses, these cells become organized into well-defined shapes and structures. This ...

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

Noether's work helped prove the conservation of energy in physics, a key foundation for Einstein's theory of relativity ...

I will explain examples of linear transformations of Lie groups. Regarding left-invariant vectors, I will show the equivalence between the expression viewed from the mapping of tangent vectors and the ...

We propose a task-space admittance controller for dual-arm robotic systems using conformal geometric algebra. The controller is a reinterpretation of a previous work using dual quaternion algebra. By ...

Abstract: In this note, we consider the problem of privacy preservation in consensus for general linear multiagent systems, where the system matrices and input and state trajectories are all private ...

A central computational problem in spatial navigation is how spatial representations remain stable under noise and uncertainty, and update reliable estimations of continuous variables such as ...

All equals are not created equal—mathematicians sometimes play fast and loose. In programming, equal signs mean different things, and variables have different types. Turning intuitive math expertise ...

Summary: Researchers uncovered the connection between individuals’ drawings and their arithmetic problem-solving strategies. By analyzing the illustrations produced by both children and adults when ...

Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia Interdisciplinary Excellence Centre, Department of Applied and ...

Our research paper has been accepted to The Web Conference 2024. . ├─ framework.png ├─ get_sub_counts.py ├─ main.py ├─ README.md │ ├─ CTAug │ ├─ evaluate.py │ ├─ model.py │ ├─ preprocess.py │ ├─ utils ...

Over the past few years, graph neural networks and graph transformers have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks.