Підписатись
Arjun Ravi Kannan
Arjun Ravi Kannan
Director of Data Science Research
Підтверджена електронна адреса в discover.com
Назва
Посилання
Посилання
Рік
A United States fair lending perspective on machine learning
P Hall, B Cox, S Dickerson, A Ravi Kannan, R Kulkarni, N Schmidt
Frontiers in Artificial Intelligence 4, 695301, 2021
232021
Wasserstein-based fairness interpretability framework for machine learning models
A Miroshnikov, K Kotsiopoulos, R Franks, A Ravi Kannan
Machine Learning 111 (9), 3307-3357, 2022
192022
System and method for mitigating bias in classification scores generated by machine learning models
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson
US Patent 12,002,258, 2024
92024
Mutual information-based group explainers with coalition structure for machine learning model explanations
A Miroshnikov, K Kotsiopoulos, AR Kannan
arXiv preprint arXiv:2102.10878, 2021
92021
On marginal feature attributions of tree-based models
K Filom, A Miroshnikov, K Kotsiopoulos, AR Kannan
arXiv preprint arXiv:2302.08434, 2023
52023
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics
A Miroshnikov, K Kotsiopoulos, R Franks, AR Kannan
arXiv preprint arXiv:2111.11259, 2021
42021
Mechanistic interpretability of large language models with applications to the financial services industry
A Golgoon, K Filom, A Ravi Kannan
Proceedings of the 5th ACM International Conference on AI in Finance, 660-668, 2024
32024
Computing system and method for creating a data science model having reduced bias
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson, ...
US Patent App. 17/900,753, 2022
32022
System and method for utilizing grouped partial dependence plots and shapley additive explanations in the generation of adverse action reason codes
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson
US Patent 12,050,975, 2024
22024
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features
K Kotsiopoulos, A Miroshnikov, K Filom, AR Kannan
arXiv preprint arXiv:2303.10216, 2023
22023
System and method for utilizing grouped partial dependence plots and game-theoretic concepts and their extensions in the generation of adverse action reason codes
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson
US Patent App. 17/322,828, 2021
22021
MS-IMAP--A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
S Deutsch, L Yelibi, AT Lin, AR Kannan
arXiv preprint arXiv:2406.02778, 2024
12024
Stability theory of game-theoretic group feature explanations for machine learning models
A Miroshnikov, K Kotsiopoulos, K Filom, AR Kannan
arXiv preprint arXiv:2102.10878, 2021
12021
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
I Okpala, A Golgoon, AR Kannan
arXiv preprint arXiv:2502.05439, 2025
2025
System and method for utilizing grouped partial dependence plots and shapley additive explanations in the generation of adverse action reason codes
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson
US Patent App. 18/787,656, 2025
2025
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
A Golgoon, R Franks, K Filom, AR Kannan
arXiv preprint arXiv:2411.00287, 2024
2024
Computer systems and methods for building and analyzing data graphs
K Fernandes, A Golgoon, AR Kannan
US Patent App. 18/304,272, 2024
2024
System and method for mitigating bias in classification scores generated by machine learning models
A Miroshnikov, K Kotsiopoulos, AR Kannan, R Kulkarni, S Dickerson
US Patent App. 18/677,329, 2024
2024
Computing System and Method for Applying Monte Carlo Estimation to Determine the Contribution of Independent Input Variables Within Dependent Variable Groups on the Output of a …
K Kotsiopoulos, A Miroshnikov, AR Kannan
US Patent App. 18/111,825, 2024
2024
Computing System and Method for Applying Monte Carlo Estimation to Determine the Contribution of Independent Input Variables Within Dependent Variable Groups on the Output of a …
K Kotsiopoulos, A Miroshnikov, AR Kannan
US Patent App. 18/111,826, 2024
2024
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