Ibrahim Elsharkawy

According to our database, Ibrahim Elsharkawy authored at least 6 papers between 2025 and 2026.

Collaborative distances:

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

2026

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology.

Biwei Dai, Po-Wen Chang, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Isabelle Guyon, Christopher J. Harris, Elham E Khoda, Benjamin Nachman, David Rousseau, Uros Seljak, Ihsan Ullah, Yulei Zhang

CoRR, April, 2026

Generative models on phase space.

Zachary Bogorad, Ibrahim Elsharkawy, Yonatan Kahn, Andrew J. Larkoski, Noam Levi

CoRR, April, 2026

2025

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation.

Ibrahim Elsharkawy, Yonatan Kahn

CoRR, May, 2025

Uncertainty Quantification From Scaling Laws in Deep Neural Networks.

Ibrahim Elsharkawy, Yonatan Kahn, Benjamin Hooberman

CoRR, March, 2025

Uncertainty quantification from ensemble variance scaling laws in deep neural networks.

Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn

Mach. Learn. Sci. Technol., 2025

FAIR Universe HiggsML Uncertainty Dataset and Competition.

Wahid Bhimji, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E Khoda, Claudius Krause, Ang Li, Benjamin Nachman, David Rousseau, Robert Schöfbeck, Maryam Shooshtari, Dennis Schwarz, Ihsan Ullah, Daohan Wang, Yulei Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025