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DTSTART;TZID=Europe/Rome:20240116T170000
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SUMMARY:AI Excellence Lecture on Hybrid & Causal Machine learning in the Earth sciences
DESCRIPTION:Abstract: Most problems in Earth sciences aim to do inferences about the system\, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables relations\, deriving models that are physically plausible\, that are simple parsimonious\, and mathematically tractable. While machine learning models excel as approximators\, they often disregard fundamental physics laws\, compromising consistency and confidence. To address these challenges\, we propose exploring the interplay between domain knowledge and machine learning. Physics-aware and hybrid machine learning models are seen as necessary steps toward understanding the data-generating process\, with causality offering significant advancements. I will discuss recent hybrid and causal machine learning methodologies to attain consistent and explainable results. This work outlines a collective\, long-term AI agenda for developing algorithms that can discover knowledge in the Earth system. \nLecturer: Professor Gustau Camps-Valls is a Full Professor in Electrical Engineering at the Universitat de Valencia. He is an expert in machine learning  algorithms for geosciences and remote sensing data analysis\, having published extensively. He has a Ph.D. in Physics and is an IEEE Distinguished Lecturer. He has received two European Research Council (ERC) grants and holds a Hirsch’s index h=88 (Google Scholar). He is also a Highly Cited Researcher since 2020. Gustau has achieved significant recognition with numerous awards and honors\, including IEEE Fellow (2018)\, ELLIS Fellow (2019)\, Fellow of the European Academy of Sciences (EurASc)\, the Academia Europeae (AE)\, and the Asia-Pacific Artificial Intelligence Association (AAIA) all in 2021. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\n\n    \n    \n    \n    Event Footer\n    \n\n\n\n\n\n    \n        \n            Details\n            Date: January 16  \n            Time: 17:00 - 18:00  \n            Event Category: Lectures & Seminars  \n            \n                AI\n                ML\n            \n            \n                \n                    Add to Calendar\n                \n            \n        \n        \n            Website\n            \n                Hybrid Causal Machine Learning in the Earth Sciences\n              \n        \n        \n            Venue\n            Location: ONLINE  \n        \n        \n            Organiser\n            AIDA – Artificial Intelligence Doctoral Academy  \n            View Organiser Website  \n        \n    \n    \n        © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved.
URL:https://elias-ai.eu/event/hybrid-causal-machine-learning-in-the-earth-sciences/
LOCATION:ONLINE
CATEGORIES:Lectures & Seminars
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