IP Library › Granted Patent US 12,718,146
Granted Patent B2
US 12,718,146 · App. 17/937,372 · Granted Aug 25, 2026

Generating counterfactual samples based on user preference

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Quick Facts
Patent No.
US 12,718,146
App. No.
17/937,372
Filed
Sep 30, 2022
Granted
Aug 25, 2026
Kind
B2
Art Unit
2142
USPC
706/12
Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 30, 2022
From: SHARPE, SAMUEL; BRUSS, CHRISTOPHER BAYAN; BARR, BRIAN
To: CAPITAL ONE SERVICES, LLC
Reel/Frame 061277/0934 →
Continuity (1)
Related Publication 20240112072A1 · Apr 4, 2024
References Cited (5)
US 10861028B2 · Silberman · 2020 [cited by examiner]
James Wexler, The What-If Tool: Interactive Probing of Machine Learning Models, Jan. 2020, IEEE Transactions on visualization and computer graphics, vol. 28 No. 1 (Year: 2020). [cited by examiner]
The What-If Tool: Interactive Probing of Machine Learning Models (Year: 2020). [cited by examiner]
Randall DAvis, Andrew W. Lo, Sudhanshu Mishra, Arash Nourian, Manish Singh, Nicholas Wu, Ruixun Zhang, “Explainable Machine Learning Models of Consumer Credit Risk”, Jan. 12, 2022 (Year: 2022). [cited by examiner]
Explainable MAchine Learning Models of Consumer Credit Risk (Year: 2022). [cited by examiner]