1 code implementation • 7 Mar 2024 • Amin Abyaneh, Mariana Sosa Guzmán, Hsiu-Chin Lin
Imitation learning presents an effective approach to alleviate the resource-intensive and time-consuming nature of policy learning from scratch in the solution space.
3 code implementations • 7 Nov 2022 • Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
We propose FedCDI, a federated framework for inferring causal structures from distributed data containing interventional samples.
1 code implementation • 24 Mar 2021 • Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer
Simulating the spread of infectious diseases in human communities is critical for predicting the trajectory of an epidemic and verifying various policies to control the devastating impacts of the outbreak.