6 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.GR2023★ 6 cited
A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
Nathan King, Haozhe Su, Mridul Aanjaneya +2
Many geometry processing techniques require the solution of partial differential equations (PDEs) on manifolds embedded in or , such as curves or surfa…
cs.GR2021★ 1 cited
A-ULMPM: An Arbitrary Updated Lagrangian Material Point Method for Efficient Simulation of Solids and Fluids
Haozhe Su, Tao Xue, Chengguizi Han +1
We present an arbitrary updated Lagrangian Material Point Method (A-ULMPM) to alleviate issues, such as the cell-crossing instability and numerical fracture, that plague state of t…
q-fin.CP2021★ 6 cited
Deep learning of transition probability densities for stochastic asset models with applications in option pricing
Haozhe Su, M. V. Tretyakov, David P. Newton
Transition probability density functions (TPDFs) are fundamental to computational finance, including option pricing and hedging. Advancing recent work in deep learning, we develop…