Akchunya Chanchal

According to our database, Akchunya Chanchal authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Causal Framework for Mitigating Data Shifts in Healthcare.

Kurt Butler, Stephanie Riley, Damian Machlanski, Edward Moroshko, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Konstantinos Vilouras, Zhihua Liu, Steven McDonagh, Hana Chockler, Ben Glocker, Niccoló Tempini, Matthew Sperrin, Sotirios A. Tsaftaris, Ricardo Silva

CoRR, March, 2026

2025

Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI.

Akchunya Chanchal, David A. Kelly, Hana Chockler

CoRR, October, 2025

A Shift in Perspective on Causality in Domain Generalization.

Damian Machlanski, Stephanie Riley, Edward Moroshko, Kurt Butler, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Steven McDonagh, Ricardo Silva, Sotirios A. Tsaftaris

CoRR, August, 2025

SpecReX: Explainable AI for Raman Spectroscopy.

Nathan Blake, David A. Kelly, Akchunya Chanchal, Sarah Kapllani-Mucaj, Geraint Thomas, Hana Chockler

CoRR, March, 2025

I Am Big, You Are Little; I Am Right, You Are Wrong.

David A. Kelly, Akchunya Chanchal, Nathan Blake

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting.

Nathan Blake, David A. Kelly, Santiago Calderon Pena, Akchunya Chanchal, Hana Chockler

Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025