Arjun Ravi Kannan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Manifold Learning

Graph Embedding

Machine Learning

Banking Services

Top Venues

Frontiers Artif. Intell.

Publications

Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan
Mechanistic interpretability of large language models with applications to the financial services industry. CoRR (2024)
Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR (2024)
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 (2023)
Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan
On marginal feature attributions of tree-based models. CoRR (2023)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Wasserstein-based fairness interpretability framework for machine learning models. Mach. Learn. 111 (9) (2022)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan
Mutual information-based group explainers with coalition structure for machine learning model explanations. CoRR (2021)
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 (2021)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics. CoRR (2021)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Wasserstein-based fairness interpretability framework for machine learning models. CoRR (2020)