Nawid Keshtmand

According to our database, Nawid Keshtmand authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Circadian Phase Locking of Epilepsy Seizures in Wearable Data: A Single-Patient Case Study.

Berenika Ewart-James, Matthew Wragg, Nawid Keshtmand, Amberly Brigden, Paul Marshall, Raúl Santos-Rodríguez

CoRR, April, 2026

2025

FLEX: Feature Importance from Layered Counterfactual Explanations.

Nawid Keshtmand, Roussel Desmond Nzoyem, Jeffrey Nicholas Clark

CoRR, November, 2025

Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport.

Jeffrey N. Clark, Elena Fillola, Nawid Keshtmand, Raúl Santos-Rodríguez, Matthew Rigby

CoRR, October, 2025

Weight-Space Linear Recurrent Neural Networks.

Roussel Desmond Nzoyem, Nawid Keshtmand, Idriss Tsayem, David A. W. Barton, Tom Deakin

CoRR, June, 2025

Prototype-enhanced prediction in graph neural networks for climate applications.

Nawid Keshtmand, Elena Fillola, Jeffrey Nicholas Clark, Raúl Santos-Rodríguez, Matthew Rigby

CoRR, April, 2025

2024

Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care.

Jeffrey N. Clark, Matthew Wragg, Emily Nielsen, Miquel Perelló-Nieto, Nawid Keshtmand, Michael Ambler, Shiv Sharma, Christopher P. Bourdeaux, Amberly Brigden, Raúl Santos-Rodríguez

CoRR, 2024

Typicality-based point OOD detection with contrastive learning.

Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry

Proceedings of the Northern Lights Deep Learning Conference, 2024

TraCE: Trajectory Counterfactual Explanation Scores.

Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Two-step counterfactual generation for OOD examples.

Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry

CoRR, 2023

2022

Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection.

Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022