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UID:1xNuNs2MlP6kCtU4IN9HT
SUMMARY:Northern Lights Deep Learning Winter School
DTSTAMP:20260401T014400Z
DTSTART;VALUE=DATE:20250106
DTEND;VALUE=DATE:20250109
DESCRIPTION:The NLDL Winter School consists of tutorials by experts in the 
	field and is co-hosted by NORA as part of the NORA Research School. A prel
	iminary program will be made available soon.\n\nGetting formal ECTS Credit
	s:  UiT The Arctic University of Norway awards 5 ECTS for the Winter Schoo
	l for students who register formally for the course at UiT before the 1st 
	of November (for credits\, there is a limit of 40 students). \n\nTo obtain
	 credits\, participants are required to present an ongoing research projec
	t (poster presentation) as part of the winter school and complete a home e
	xam afterward.\n\nThe NLDL Winter School will consist of tutorials from le
	ading experts in the machine learning field. Below we present each tutoria
	l\, followed by the tutorial speakers:\n\n-  Tutorial 1: Aleatoric and Epi
	stemic Uncertainty in Statistics and Machine Learning by Willem Waegeman f
	rom Ghent University\n- Tutorial 2: Responsible and Explainable Artificial
	 Intelligence by Leila Methnani and Virginia Dignum from Umeå University\n
	- Tutorial 3: Large Language Models Under the Hood by Andrey Kutuzov\, Egi
	l Rønningstad and David Samuel from the Language Technology Group\, Univer
	sity of Oslo\n- Tutorial 3: Multimodal Machine Learning by Michael Kampfme
	yer and Kristoffer Wickstrøm from UiT - The Arctic University of Norway.
URL:https://www.nldl.org/program/winter-school
LOCATION:Tromsø\, Norway
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