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Arjun Ravi Kannan
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2020 – today
- 2024
- [c1]Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan:
Mechanistic interpretability of large language models with applications to the financial services industry. ICAIF 2024: 660-668 - [i7]Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan:
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR abs/2406.02778 (2024) - [i6]Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan:
Mechanistic interpretability of large language models with applications to the financial services industry. CoRR abs/2407.11215 (2024) - 2023
- [i5]Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan:
On marginal feature attributions of tree-based models. CoRR abs/2302.08434 (2023) - [i4]Konstandinos Kotsiopoulos, Alexey Miroshnikov, Khashayar Filom, Arjun Ravi Kannan:
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features. CoRR abs/2303.10216 (2023) - 2022
- [j2]Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Wasserstein-based fairness interpretability framework for machine learning models. Mach. Learn. 111(9): 3307-3357 (2022) - 2021
- [j1]Patrick Hall, Benjamin Cox, Steven Dickerson, Arjun Ravi Kannan, Raghu Kulkarni, Nicholas Schmidt:
A United States Fair Lending Perspective on Machine Learning. Frontiers Artif. Intell. 4: 695301 (2021) - [i3]Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan:
Mutual information-based group explainers with coalition structure for machine learning model explanations. CoRR abs/2102.10878 (2021) - [i2]Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics. CoRR abs/2111.11259 (2021) - 2020
- [i1]Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Wasserstein-based fairness interpretability framework for machine learning models. CoRR abs/2011.03156 (2020)
Coauthor Index
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