METHOD AND SYSTEM FOR IMPROVING THE ROBUSTNESS OF A COMPRESSED MACHINE LEARNING MODEL - Patent 4487257

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EP 4 487 257 A1

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(43)	Date of publication:
	08.01.2025 Bulletin 2025/02

(21)	Application number: 22712251.2

(22)	Date of filing: 02.03.2022

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International Patent Classification (IPC):

G06N 3/08^(2023.01)

(52)	Cooperative Patent Classification (CPC):
	G06N 3/088; G06N 3/082; G06N 3/094; G06N 3/096; G06N 3/0495

(86)	International application number:
	PCT/EP2022/025073

(87)	International publication number:
	WO 2023/165670 (07.09.2023 Gazette 2023/36)

(84)	Designated Contracting States:
	AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
	Designated Extension States:
	BA ME
	Designated Validation States:
	KH MA MD TN

(71)	Applicant: CARIAD SE
	38440 Wolfsburg (DE)

(72)	Inventors:
	SCHLICHT, Peter 38442 Wolfsburg (DE) HÜGER, Fabian 38302 Wolfenbüttel (DE) ZAWADZKI, Jan 10204 Berlin (DE)

(74)	Representative: Hofstetter, Schurack & Partner
	Patent- und Rechtsanwaltskanzlei PartG mbB Balanstrasse 57 81541 München 81541 München (DE)

(54)	METHOD AND SYSTEM FOR IMPROVING THE ROBUSTNESS OF A COMPRESSED MACHINE LEARNING MODEL