Slides:

• Advances in machine learning applications on photospheric and chromospheric studies, 45th COSPAR Scientific Assembly, Busan, South Korea, 13 - 21 July 2024 - Link

• The Force Awakens: Unleashing Deep Learning in Solar Physics, Oslo AI Product Lab, Oslo, Norway, May 25, 2024 - Link

• Deep Learning 2.0: Combining physics-based models with data-driven solutions, Lockheed Martin Solar and Astrophysics Laboratory (LMSAL), California, USA, May 16, 2024 - Link

• Deep Learning 2.0: Combining physics-based models with data-driven solutions, Instituto de Astrofísica de Canarias (IAC), Tenerife, Spain, October 15, 2023 - Link

• Deep Learning 2.0: Combining physics-based models with data-driven solutions, Leibniz-Institut für Sonnenphysik (KIS), Freiburg, Germany, June 5, 2023 - Link

• The Potential of Machine Learning for Efficient Analysis of Solar Observations and simulations, ITA Colloquium 2023, Oslo, Norway, March 17, 2023 - Link

• Differentiable programming for spectra modeling and inference, RoCMI 2023, Longyearbyen, Svalbard, February 26 - March 2, 2023 - Link

• Unleashing the Potential of Machine Learning for Efficient Analysis of Solar Observations, Universitat de les Illes Balears, Spain, February 17, 2023 - Link

• Application of machine learning and neural networks to data processing in solar physics, Solar Space Plasma seminar, National Astronomy Observatory of Japan, Tokyo, Japan, December 2, 2022 - Link

• Unlocking the potential of deep learning for the analysis of spectropolarimetric observations, Solar Polarization Workshop 10 (SPW10), Kyoto, Japan, November 7-11, 2022 - Link

• Application of machine learning and neural networks to data processing, Hinode-15 / IRIS-12, Czech Republic, Prague, September 19-23, 2022 - Link

Videos:

• Spain AI Lead talk - 2022/05/10 - Link + Slides

• Stockholm University Seminar - 2021/10/15 - Link

• HAO Colloquium - 2020/10/07 - Link