AbstractLearning dynamics of deep neural networks is complex. While previous approaches made advances in mathematical analysis of the dynamics of two-layer neural networks, addressing deeper networks have been challenging. In this talk, I will present a mean field theory of the learning dynamics of deep networks and discuss its practical implications
Math+ML+X Seminar Series SeminarOrganizer:Angelica Aviles-RiveroSpeaker:Guibin Zhang (Tongjin University)Time:Mon., 15:00, Jau.6, 2025Online:Voov (Tencent):548-600-263Title:Orchestrating LLM-based Multi-agent Systems with Graph Neural NetworksAbstract:Explore how novel techniques in Graph Neural Networks are revolutionising the way large language models (LLMs) work together in multi-agent...