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 (ICCVW, 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)

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)

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Keivan Shariatmadar; Fabio Cuzzolin (CoRR, 2023)

A Unified Evaluation Framework for Epistemic Predictions. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Fabio Cuzzolin (AISTATS, 2025)

Random-Set Neural Networks. - Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Keivan Shariatmadar; Fabio Cuzzolin (ICLR, 2025)

Random-Set Large Language Models. - Muhammad Mubashar; Shireen Kudukkil Manchingal; Fabio Cuzzolin (CoRR, 2025)

Epistemic Wrapping for Uncertainty Quantification. - Maryam Sultana; Neil Yorke-Smith; Kaizheng Wang; Shireen Kudukkil Manchingal; Muhammad Mubashar; Fabio Cuzzolin (CoRR, 2025)