BGTS Colloquium
Speaker: Prof. Xin Guo (UC Berkeley) Title: Generative Adversarial Networks (GANs): an analytical perspective Abstract: Generative Adversarial Networks (Gans) have attracted intense interest lately in computer vision, image generation, and simulation of financial time series data. In this talk, I will first provide a gentle review of the mathematics framework behind GANs. I will then […]
BGTS Colloquium
Speaker: Dr. Viola Priesemann Titel: Network dynamics, learning and self-organization: from neural information flow to COVID-19 Abstract: Spreading dynamics is ubiquitous: activity spreads in neural networks, news and fake news in social networks, and just recently the spread of a novel virus has disrupted the daily lives of people around the globe. Interestingly, in all […]