Related publications (5)

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior

Dian Wu

Flow-based generative models have become an important class of unsupervised learning approaches. In this work, we incorporate the key ideas of renormalization group (RG) and sparse prior distribution to design a hierarchical flow-based generative model, RG ...
IOP Publishing Ltd2022

Linking Morphology and Multi-Physical Transport in Structured Photoelectrodes

Sophia Haussener, Marco Cantoni, Silvan Suter, Yannick Kenneth Gaudy

Semiconductors with complex anisotropic morphologies in solar to chemical energy conversion devices enhance light absorption and overcome limiting charge transport in the solid. However, structuring the solid-liquid interface has also implications on conce ...
2018

Wastewaters

The major pathways of human pharmaceuticals into the environment are from their use by individuals either at home or under medical supervision in hospitals, and to a lesser extent by the disposal of unwanted or out of date drugs. The administered pharmaceu ...
EPFL2005

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