Arjun Ravi Kannan

According to our database, Arjun Ravi Kannan authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning.

Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan

CoRR, 2024

Mechanistic interpretability of large language models with applications to the financial services industry.

Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features.

Konstandinos Kotsiopoulos, Alexey Miroshnikov, Khashayar Filom, Arjun Ravi Kannan

CoRR, 2023

On marginal feature attributions of tree-based models.

Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan

CoRR, 2023

2022

Wasserstein-based fairness interpretability framework for machine learning models.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan

Mach. Learn., 2022

2021

A United States Fair Lending Perspective on Machine Learning.

Patrick Hall, Benjamin Cox, Steven Dickerson, Arjun Ravi Kannan, Raghu Kulkarni, Nicholas Schmidt

Frontiers Artif. Intell., 2021

Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan

CoRR, 2021

Mutual information-based group explainers with coalition structure for machine learning model explanations.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan

CoRR, 2021