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QUANTIFYING THE PREDICTIVE UNCERTAINTY OF NEURAL NETWORKS VIA RESIDUAL ESTIMATION WITH I/O KERNEL
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Abstract
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QUANTIFYING THE PREDICTIVE UNCERTAINTY OF NEURAL NETWORKS VIA RESIDUAL ESTIMATION WITH I/O KERNEL
PCT NATIONAL PHASE APPLICATION
Published
Filed on 10 November 2021
Patent Information
| Application ID | 202147051392 |
| Date of Application | 10/11/2021 |
Documents
| Name | Date |
|---|---|
| 202147051392-FORM 3 [23-11-2023(online)].pdf | 23/11/2023 |
| 202147051392-FORM 3 [18-05-2023(online)].pdf | 18/05/2023 |
| 202147051392-FORM 18 [16-05-2023(online)].pdf | 16/05/2023 |
| 202147051392-FORM 3 [23-05-2022(online)].pdf | 23/05/2022 |
| 202147051392-FORM 3 [10-05-2022(online)].pdf | 10/05/2022 |
| 202147051392-Proof of Right [15-02-2022(online)].pdf | 15/02/2022 |
| 202147051392-COMPLETE SPECIFICATION [10-11-2021(online)].pdf | 10/11/2021 |
| 202147051392-DECLARATION OF INVENTORSHIP (FORM 5) [10-11-2021(online)].pdf | 10/11/2021 |
| 202147051392-DRAWINGS [10-11-2021(online)].pdf | 10/11/2021 |
| 202147051392-FORM 1 [10-11-2021(online)].pdf | 10/11/2021 |
| 202147051392-NOTIFICATION OF INT. APPLN. NO. & FILING DATE (PCT-RO-105-PCT Pamphlet) [10-11-2021(online)].pdf | 10/11/2021 |
| 202147051392-POWER OF AUTHORITY [10-11-2021(online)].pdf | 10/11/2021 |
