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researcher

Matteo Chinazzi

7 papers hereh-index 277.1k citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.SI1
  • econ.GN1
  • q-bio.PE1
  • stat.OT1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedA machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

102 citations · 158 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2022★ 7 cited

Multi-fidelity Hierarchical Neural Processes

Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani +2

Science and engineering fields use computer simulation extensively. These simulations are often run at multiple levels of sophistication to balance accuracy and efficiency. Multi-f…

cs.LG2021★ 20 cited

DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting

Dongxia Wu, Liyao Gao, Xinyue Xiong +4

We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLEAM combines a mechanistic stochastic simulation model GLEAM with deep learning. It uses deep learning to lea…

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