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WHAT YOU SEE IS WHAT YOU CLASSIFY: BLACK BOX ATTRIBUTIONS

WHAT YOU SEE IS WHAT YOU CLASSIFY: BLACK BOX ATTRIBUTIONS

In this work, Swiss Data Science Center researchers Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, and Michele Volpi tackle a fundamental problem in modern Artificial Intelligence (AI) and Machine Learning (ML): the lack of...

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DENSE REPRESENTATION LEARNING

DENSE REPRESENTATION LEARNING

Embed your items, not just words! Following our previous posts on recent progress in Natural Language Processing, we discuss a follow-up idea: can we extend the concept of word embeddings to any collection of items, possibly unordered? More precisely, can we learn...

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CARBOSENSE4D: MODELLING CO2 CONCENTRATION ACROSS SWITZERLAND

CARBOSENSE4D: MODELLING CO2 CONCENTRATION ACROSS SWITZERLAND

Objectives   Carbon dioxide (CO2) is the most important greenhouse gas (GHG) contributing to climate change. In order to better predict future CO2 levels and the corresponding climate forcing, it is thus vital to better understand the global carbon cycle. The...

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