Mohamed Osama Ahmed

According to our database, Mohamed Osama Ahmed authored at least 21 papers between 2012 and 2023.

Collaborative distances:

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

2023

AdaFlood: Adaptive Flood Regularization.

Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira

CoRR, 2023

Tree Cross Attention.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Constant Memory Attention Block.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Constant Memory Attentive Neural Processes.

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CoRR, 2023

Latent Bottlenecked Attentive Neural Processes.

Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Better Selective Classification.

Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Meta Temporal Point Processes.

Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Gumbel-Softmax Selective Networks.

Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

CoRR, 2022

Stop Overcomplicating Selective Classification: Use Max-Logit.

Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi

CoRR, 2022

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification.

Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform.

Hassan Halawa, Hazem A. Abdelhafez, Mohamed Osama Ahmed, Karthik Pattabiraman, Matei Ripeanu

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2020

Combining Bayesian optimization and Lipschitz optimization.

Mohamed Osama Ahmed, Sharan Vaswani, Mark Schmidt

Mach. Learn., 2020

2019

Point Process Flows.

Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori

CoRR, 2019

Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction.

Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo

CoRR, 2019

2015

Stop Wasting My Gradients: Practical SVRG.

Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen

CoRR, 2015

StopWasting My Gradients: Practical SVRG.

Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields.

Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Power Line Communications for Low-Voltage Power Grid Tomography.

Mohamed Osama Ahmed, Lutz Lampe

IEEE Trans. Commun., 2013

Power grid topology inference using power line communications.

Lutz Lampe, Mohamed Osama Ahmed

Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

2012

Decentralized, Adaptive, Look-Ahead Particle Filtering

Mohamed Osama Ahmed, Pouyan T. Bibalan, Nando de Freitas, Simon Fauvel

CoRR, 2012

Power line network topology inference using Frequency Domain Reflectometry.

Mohamed Osama Ahmed, Lutz Lampe

Proceedings of IEEE International Conference on Communications, 2012