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Items where Author is "Garasto, Stef"

Items where Author is "Garasto, Stef"

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Number of items: 12.

big data

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

disentanglement

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

dynamical systems

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

forecasting

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

generative models

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

labour demand

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

machine learning

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

online job adverts

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

skills

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

system dynamics

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

VAE

Fotiadis, Stathi, Lino, Mario, Shunlong, Hu, Garasto, Stef, Cantwell, Chris D and Bharath, Anil A (2023) Disentangled generative models for robust prediction of system dynamics. In: Proceedings of the 40th International Conference on Machine Learning. ICML 2023, 202 . Proceedings of Machine Learning Research (PMLR), Honolulu, Hawaii, USA, pp. 10222-10248. ISSN 2640-3498

word embeddings

Garasto, Stef, Djumalieva, Jyldyz, Kanders, Karlis, Wilcock, Rachel and Sleeman, Cath (2021) Developing experimental estimates of regional skill demand. Discussion Paper. National Institute of Economic and Social Research, London.

This list was generated on Sun May 19 10:05:14 2024 UTC.