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Name: Jiaxiang Yi

Type: User

Company: Delft University of Technology

Bio: Hi, there! Here is Jiaxiang, a PhD candidate at 3mE-MSE of TU Delft. I am working on bayesian machine learning and optimization

Location: Delft, the Netherlands

🎓 PhD Candidate @Tu Delft
💻 Working: Bayesian machine learning, multi-fidelity modeling/optimization, and multi-scale simulation
💪 Learning: Be an independent researcher
🌱 Hobbies: ⛹️‍♂️ 🏃‍♂️ 🏊‍♂️ 📸 🧑‍🍳 🥢
💬 Personal website

Jiaxiang Yi's Projects

How to properly install abaqus 2021 on Ubuntu 20.04 LTS

an active-learning method for reliability analysis based on multi-fidelity kriging model

The code is used to solve structural reliability analysis problem via the BSC_RLCB method

cohesive zone modeling

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

my personal repository

profile of Jiaxiang

This code is used to evaluation the component reliability analysis through MF-BSC-Believer algorithm

Multi-fidelity probability machine learning

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

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