Shireen Kudukkil Manchingal

According to our database, Shireen Kudukkil Manchingal authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning.

Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves, Shebin Rawther

CoRR, May, 2026

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification.

Ezel Kilicdere, Shireen Kudukkil Manchingal, Fabio Cuzzolin

CoRR, May, 2026

Random-Set Graph Neural Networks.

Tommy Woodley, Shireen Kudukkil Manchingal, Matteo Tolloso, Davide Bacciu, Fabio Cuzzolin

CoRR, May, 2026

2025

Credal and Interval Deep Evidential Classifications.

Michele Caprio, Shireen Kudukkil Manchingal, Fabio Cuzzolin

CoRR, December, 2025

Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead.

Shireen Kudukkil Manchingal, Armand Amaritei, Mihir Gohad, Maryam Sultana, Julian F. P. Kooij, Fabio Cuzzolin, Andrew Bradley

CoRR, October, 2025

Epistemic Deep Learning: Enabling Machine Learning Models to Know When They Do Not Know.

Shireen Kudukkil Manchingal

CoRR, October, 2025

Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know.

Shireen Kudukkil Manchingal, Fabio Cuzzolin

CoRR, May, 2025

Epistemic Wrapping for Uncertainty Quantification.

Maryam Sultana, Neil Yorke-Smith, Kaizheng Wang, Shireen Kudukkil Manchingal, Muhammad Mubashar, Fabio Cuzzolin

CoRR, May, 2025

Random-Set Large Language Models.

Muhammad Mubashar, Shireen Kudukkil Manchingal, Fabio Cuzzolin

CoRR, April, 2025

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez

Neural Networks, 2025

Random-Set Neural Networks.

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Unified Evaluation Framework for Epistemic Predictions.

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Credal Deep Ensembles for Uncertainty Quantification.

Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning.

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

CoRR, 2023

2022

Epistemic Deep Learning.

Shireen Kudukkil Manchingal, Fabio Cuzzolin

CoRR, 2022