Muhammad Mubashar

11 papers A* 1A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Epistemic Generative Adversarial Networks. CoRR Muhammad Mubashar, Fabio Cuzzolin
2025	A	`conf`	A Unified Evaluation Framework for Epistemic Predictions. AISTATS Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	A Unified Evaluation Framework for Epistemic Predictions. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	Epistemic Wrapping for Uncertainty Quantification. CoRR Maryam Sultana, Neil Yorke-Smith, Kaizheng Wang, Shireen Kudukkil Manchingal, Muhammad Mubashar, Fabio Cuzzolin
2025	J	`jnl`	Random-Set Large Language Models. CoRR Muhammad Mubashar, Shireen Kudukkil Manchingal, Fabio Cuzzolin
2025	A*	`conf`	Random-Set Neural Networks. ICLR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2023	J	`jnl`	Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2022	J	`jnl`	Have We Solved Edge Detection? A Review of State-of-the-Art Datasets and DNN Based Techniques. IEEE Access Muhammad Mubashar, Naeemullah Khan, Abdur Rehman Sajid, Muhammad Hashim Javed, Naveed Ul Hassan
2021	—	`conf`	Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. ICCVW Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr
2021	J	`jnl`	Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. CoRR Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr
2021	J	`jnl`	Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level. IEEE Access Haris Mansoor, Huzaifa Rauf, Muhammad Mubashar, Muhammad Waqas Khalid, Naveed Arshad