(19)
(11) EP 4 771 538 A1

(12)

(43) Date of publication:
08.07.2026 Bulletin 2026/28

(21) Application number: 23950030.9

(22) Date of filing: 28.08.2023
(51) International Patent Classification (IPC): 
G06N 3/047(2023.01)
G06N 3/045(2023.01)
G06N 3/08(2023.01)
G06N 7/01(2023.01)
(52) Cooperative Patent Classification (CPC):
G06N 3/047; G06N 3/08; G06N 7/01; G06N 3/045
(86) International application number:
PCT/CN2023/115225
(87) International publication number:
WO 2025/043436 (06.03.2025 Gazette 2025/10)
(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 ME MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA
Designated Validation States:
KH MA MD TN

(71) Applicants:
  • Robert Bosch GmbH
    70442 Stuttgart (DE)
  • TSINGHUA UNIVERSITY
    Beijing, 100084 (CN)

(72) Inventors:
  • CHEN, Jianfei
    Beijing 100084 (CN)
  • CHENG, Ze
    Shanghai 200335 (CN)
  • HUANG, Zhuo
    Beijing 100084 (CN)

(74) Representative: Bee, Joachim 
Robert Bosch GmbH C/IPE Wernerstrasse 51
70469 Stuttgart
70469 Stuttgart (DE)


(56) References cited: : 
   
       


    (54) METHOD AND APPARATUS FOR QUANTIZED BAYESIAN DEEP LEARNING