WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19

no code implementations • 2 Sep 2020 • Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Osebe Mogaka Samuel, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou Remy, Oliver Bent, Pooja Guhan, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi

We present the Worldwide Non-pharmaceutical Interventions Tracker for COVID-19 (WNTRAC), a comprehensive dataset consisting of over 6, 000 NPIs implemented worldwide since the start of the pandemic.

Novel Uncertainty Framework for Deep Learning Ensembles

no code implementations • 9 Apr 2019 • Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi

Deep neural networks have become the default choice for many of the machine learning tasks such as classification and regression.

BIG-bench Machine Learning Gaussian Processes +2

Adversarial Balancing for Causal Inference

1 code implementation • 17 Oct 2018 • Michal Ozery-Flato, Pierre Thodoroff, Matan Ninio, Michal Rosen-Zvi, Tal El-Hay

Biases in observational data of treatments pose a major challenge to estimating expected treatment outcomes in different populations.

Causal Inference

The Author-Topic Model for Authors and Documents

1 code implementation • 11 Jul 2012 • Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers, Padhraic Smyth

A document with multiple authors is modeled as a distribution over topics that is a mixture of the distributions associated with the authors.