Muhammad Mubashar

According to our database, Muhammad Mubashar authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

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

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

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

Have We Solved Edge Detection? A Review of State-of-the-Art Datasets and DNN Based Techniques.

Muhammad Mubashar, Naeemullah Khan, Abdur Rehman Sajid, Muhammad Hashim Javed, Naveed Ul Hassan

IEEE Access, 2022

2021

Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level.

Haris Mansoor, Huzaifa Rauf, Muhammad Mubashar, Muhammad Waqas Khalid, Naveed Arshad

IEEE Access, 2021

Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation.

Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021