This is a series about the mysteries of internet speak. A fictional offspring of a locust and a hen. Discoveries at sea. A door with an electronic key fob. When something is low-key, but also genuine.

Vision-Language Models (VLMs) demonstrate remarkable zero-shot generalization to unseen tasks, but fall short of the performance of supervised methods in generalizing to downstream tasks with limited ...

This valuable study shows that combining reactivation-based training with anodal tDCS yields an unusually broad generalization of visual perceptual learning, while preserving robust learning gains and ...

Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...

Deep generative models, including diffusion and flow matching, have shown outstanding performance in synthesizing realistic multi-modal content across images, audio, video, and text. However, the ...

Benjamin Chin-Yee receives funding from the Gates Cambridge Trust and the Social Sciences and Humanities Research Council of Canada. Uwe Peters receives funding from a Volkswagen research grant on ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

This is the implementation for our paper: Generalization Performance of Hypergraph Neural Networks. We prepared all codes and a subset of datasets used in our experiments.