Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all ...

Neural radiance fields (NeRFs) slowly become the next hot topic in the world of Deep Learning. Since they were originally proposed in 2020, there is an ...

Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which ...

🔘 Laboratory page: poloclub.github.io/cnn-explainer/ Summary Deep learning’s great success motivates many practitioners and students to ...

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. ...

🔘 Paper page: arxiv.org/abs/2208.05476 Abstract Malicious software (malware) causes much harm to our devices and life. We are eager to ...

The enteric nervous system, the gut’s “brain,” originates from a single source of progenitor cells instead of 2, as previously believed, which greatly ...

Neural networks in chess programming For a long time, rule-based approaches were used in chess programming. These programmes ...