9月10日
研讨会, 演讲, 讲座
PhD Student Seminar - Exotic Derivative Hedging with Neural Network Optimization
With the development of financial markets, more and more complicated and advanced derivatives are designed to fit the market’s interests. There exotics products are often linked with multi-assets and under untraditional risk, e.g. correlation, credit-default-risk, etc.
9月9日
研讨会, 演讲, 讲座
Seminar on PDE - Pointwise estimates for fundamental solutions of nonlocal equations
As shown by Aronson in the 1960's, the fundamental solution of parabolic partial differential operators in divergence form can be bounded from above and below by the Gaussian heat kernel, i.e., the fundamental solution of the classical heat equation.
9月6日
研讨会, 演讲, 讲座
Mathematics Colloquium - On Euler characteristic, hyperbolicity,and fundamental groups
We will investigate various notions of hyperbolicity in Riemannian and complex geometries, with a focus on some conjectures (due to Hopf, Singer, etc.) on Euler characteristic of compact aspherical manifolds.
9月4日
研讨会, 演讲, 讲座
PhD Student Seminar - Fully decoupled schemes for incompressible fluid/thin-walled structure interaction
Based on Van Kan’s projection scheme, some fully decoupled schemes for incompressible fluid/thin-walled structure interaction were proposed. They show better accuracy than Fernandez’s schemes in 2D linear test case. 3D non-linear test case has not finished yet.
9月3日
研讨会, 演讲, 讲座
Seminar on PDE - Some Liouville type theorems onRiemannian manifolds
In this talk, I introduce a sharp gradient estimate for linear heat equation on complete non-compact Riemannian manifolds which can be considered as an extension of Hamilton’s gradient estimate. Moreover, I also give Liouville results for some nonlinear equations involving p-Laplacian.
8月30日
研讨会, 演讲, 讲座
Seminar on Pure Mathematics - Correlators for finite conformal field theories
Correlators of a rational conformal field theory (RCFT) can be described as specific elements in spaces of conformal blocks.
8月28日
研讨会, 演讲, 讲座
PhD Student Seminar - Deep Learning Techniques for Music Generation
Can machines generate music? Recent deep learning-driven systems have made breakthroughs on this topic. Some famous among them are Coconet, DeepBach, GLSR-VAE, C-RNN-GAN, etc. However the generated music is still not satisfying based on the feedbacks from different music communities.
浏览理学院过往举办的活动。