activity
20202023
most citedPredicting Infectiousness for Proactive Contact Tracing

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

AI For Global Climate Cooperation 2023 Competition Proceedings

Yoshua Bengio, Prateek Gupta, Lu Li +6

The international community must collaborate to mitigate climate change and sustain economic growth. However, collaboration is hard to achieve, partly because no global authority c…

cs.LG2022★ 2 cited

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

Tianyu Zhang, Andrew Williams, Soham Phade +5

Comprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term e…

cs.CY2022

(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment

Yoshua Bengio, Prateek Gupta, Dylan Radovic +5

Insufficient Social Cost of Carbon (SCC) estimation methods and short-term decision-making horizons have hindered the ability of carbon emitters to properly correct for the negativ…

cs.CY2020★ 2 cited

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

Prateek Gupta, Tegan Maharaj, Martin Weiss +26

The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) method…

cs.LG2020★ 8 cited

Predicting Infectiousness for Proactive Contact Tracing

Yoshua Bengio, Prateek Gupta, Tegan Maharaj +20

The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for emergency containment. Large-sca…