Publication

Adaptive Mitigation: Identification of the Dynamic Drivers of Effective Policy during the COVID-19 Pandemic

Related publications (40)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Adaptive Mitigation: Identification of the Dynamic Drivers of Effective Policy during the COVID-19 Pandemic

Graph Chatbot

Chat with Graph Search

Logical Team Q-learning: An approach towards factored policies in cooperative MARL

Digital proximity tracing on empirical contact networks for pandemic control

Mixed-Precision Deep Learning Based on Computational Memory

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Crowding and the Architecture of the Visual System

Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments