GRATOS members on the 3rd Workshop on Machine Learning and the Physical Sciences of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), presenting results on Inverse Problems for Spectral Energy Distributions with Deep Generative Networks

GRATOS members on the 3rd Workshop on Machine Learning and the Physical Sciences of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), presenting results on Inverse Problems for Spectral Energy Distributions with Deep Generative Networks

On December 11, 2020, Agapi Rissaki, member of GRATOS team (NTUA/ICCS) presented with great success some of GRATOS results in the 3rd Workshop on Machine Learning and the Physical Sciences of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) that took place on December 11, 2020 online. The results concern the problem of Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks.

This work is a joint collaboration with the following members of the GRATOS team (bsides Agapi Rissaki (FRO1)): Orestis Pavlou (HO), Dimitris Fotakis (FRO1), Vicky Papadopoulou Lesta (HO) and Andreas Efstathiou (HO). The title of the work is “Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks”. Beside the presentation, the work appeared also as poster in the workshop.

The paper appears also in arxiv: https://arxiv.org/abs/2012.06331