Xuk.ai
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About
Xuk.ai is the personal academic website of Kai Xu, a research scientist at Red Hat AI and MIT-IBM Watson AI Lab. The site showcases his extensive research in practical probabilistic methods, deep probabilistic models, learning, inference, and alignment. It highlights his contributions to prominent open-source projects such as the Turing probabilistic programming language in Julia and the InstructLab CLI. The site also lists numerous publications in top AI conferences like ICML, NeurIPS, ICLR, and AISTATS, covering diverse topics from Hamiltonian Monte Carlo to synthetic data generation and AI applications in mobile networking. It serves as a comprehensive portfolio of his work and expertise in the field of artificial intelligence.
Platform
Features
• synthetic data generation
• mobile network traffic analysis and generation
• bayesian-symbolic ai for intuitive physics
• deep probabilistic model development
• large-scale alignment for chatbots (instructlab)
• density ratio estimation
• advanced hamiltonian monte carlo algorithms
• probabilistic programming with turing.jl
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