基本信息
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职业迁徙
个人简介
Machine learning research for time series in healthcare
• Developed a novel method for probabilistic forecasting on graphs using graph neural network dynamics, resulting in a spotlight workshop paper at NeurIPS 2021
• Implemented fully GPU-parallelized temporal point processes in PyTorch, leading to ~10x speedups
• Parallelized neural ordinary differential equations predictions, leading to ~5x speedup• Developed a novel method for probabilistic forecasting on graphs using graph neural network dynamics, resulting in a spotlight workshop paper at NeurIPS 2021 • Implemented fully GPU-parallelized temporal point processes in PyTorch, leading to ~10x speedups • Parallelized neural ordinary differential equations predictions, leading to ~5x speedup
研究兴趣
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