Chinazzi, Matteo
- DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
2021/02/12 by Wu, Dongxia, Gao, Liyao, Xiong, Xinyue +4 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
2020/06/21 by Chintan Shah, Nima Dehmamy, Shah, Chintan +11 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting
2021/05/25 by Wu, Dongxia, Gao, Liyao, Xiong, Xinyue +4 · 3 citations
#Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inferring high-resolution human mixing patterns for disease modeling
2020/02/25 by Mistry, Dina, Litvinova, Maria, Piontti, Ana Pastore y +12 · 2 citations
#FOS: Biological sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM)
- Disentangled Multi-Fidelity Deep Bayesian Active Learning
2023/05/07 by Dongxia Wu, Wu, Dongxia, Ruijia Niu +7 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks