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(100)

Foundation models / Vallecorsa, Sofia (speaker) (CERN) ; Luise, Ilaria (speaker) (CERN)
Description Foundation models, also known as large-scale self-supervised models, have revolutionized the field of artificial intelligence. These models, such as ChatGPT and AlphaFold, are pre-trained on massive amounts of data and can be fine-tuned for a wide range of downstream tasks [...]
2024 - 7111. CERN openlab summer student lecture programme External link: Event details In : Foundation models

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(24)

Generalization and self-supervision for physics simulation / Da Costa Cardoso, Renato (speaker) (CERN)
2024 - 732. Workshops and Training; 2024 CERN openlab Technical Workshop External links: Talk details; Event details In : 2024 CERN openlab Technical Workshop

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(17)

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning / Lessig, Christian (Magdeburg U.) ; Luise, Ilaria (CERN) ; Gong, Bing (ZAT, Julich ; JARA, Aachen) ; Langguth, Michael (ZAT, Julich ; JARA, Aachen) ; Stadtler, Scarlet (ZAT, Julich ; JARA, Aachen) ; Schultz, Martin (ZAT, Julich ; JARA, Aachen)
The atmosphere affects humans in a multitude of ways, from loss of life due to adverse weather effects to long-term social and economic impacts on societies. [...]
arXiv:2308.13280. - 63.
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(11)

AtmoRep: Machine learning-based atmosphere dynamics / Garcia Recasens, Pol (speaker)
2022 - 296. CERN openlab Summer Student Programme 2022; CERN openlab summer student Lightning talks Session 1 External links: Talk details; Event details In : CERN openlab summer student Lightning talks Session 1

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(10)

From Text to Threads: Large Language Models and their impact on the HEP community / Valenzuela Ramirez, Andrea (speaker) (CERN)
Over the past year, Large Language Models (LLMs) have demonstrated remarkable capabilities, with ChatGPT rapidly becoming a buzzword on the Internet. These advanced models have been widely applied in various applications and services, recently appearing in scientific domains as well. [...]
2024 - 3631. Inverted CSC; Inverted CERN School of Computing 2024 External links: Talk details; Event details In : Inverted CERN School of Computing 2024

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(10)

A Customizable GeantV Calorimeter Application / Schmitz, Ryan ; Gheata, Andrei (CERN) ; Vallecorsa, Sofia (Gangneung-Wonju National University (KR)) ; Novak, Mihaly (CERN)
A customizable calorimeter application was written in GeantV. [...]
CERN-STUDENTS-Note-2017-039. - 2017
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(9)

Foundation models / Da Costa Cardoso, Renato Paulo (speaker) (CERN)
2023 - 756. Workshops and Training; 2023 CERN openlab Technical Workshop External links: Talk details; Event details In : 2023 CERN openlab Technical Workshop

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(8)

Consolidation de GeantV code to support multiprocess parallelism / Gravey, Mathieu (speaker) (Universite de Lausanne (CH))
2016 - 292. CERN openlab Summer Student programme 2016; openlab summer students' lightning talks 2 External links: Talk details; Event details In : openlab summer students' lightning talks 2

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(8)

EMP2 - Environmental Modelling and Prediction Platform using Foundation Models / Luise, Ilaria (speaker) (CERN)
2024 - 1038. Workshops and Training; 2024 CERN openlab Technical Workshop External links: Talk details; Event details In : 2024 CERN openlab Technical Workshop

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(8)

Focused Forecasts: Attention maps for large-scale model understanding in the AtmoRep project / Hidary, David (speaker)
The interpretability of machine learning models remains a critical yet elusive aspect of contemporary computational science. In this presentation, I specifically explore the interpretability of machine learning algorithms by applying self-attention maps to the AtmoRep large-scale weather prediction model [...]
2023 - 468. CERN openlab Summer Student Programme 2023; CERN openlab Summer Student Lightning Talks (1/2) External links: Talk details; Event details In : CERN openlab Summer Student Lightning Talks (1/2)

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