Power line network topology inference using Frequency Domain Reflectometry. - Mohamed Osama Ahmed; Lutz Lampe (ICC, 2012)

Decentralized, Adaptive, Look-Ahead Particle Filtering - Mohamed Osama Ahmed; Pouyan T. Bibalan; Nando de Freitas; Simon Fauvel (CoRR, 2012)

Power grid topology inference using power line communications. - Lutz Lampe; Mohamed Osama Ahmed (SmartGridComm, 2013)

Power Line Communications for Low-Voltage Power Grid Tomography. - Mohamed Osama Ahmed; Lutz Lampe (IEEE Trans. Commun., 2013)

Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields. - Mark Schmidt 001; Reza Babanezhad 001; Mohamed Osama Ahmed; Aaron Defazio; Ann Clifton; Anoop Sarkar (AISTATS, 2015)

StopWasting My Gradients: Practical SVRG. - Reza Babanezhad 001; Mohamed Osama Ahmed; Alim Virani; Mark Schmidt 001; Jakub Konecný; Scott Sallinen (NIPS, 2015)

Stop Wasting My Gradients: Practical SVRG. - Reza Babanezhad 001; Mohamed Osama Ahmed; Alim Virani; Mark Schmidt 001; Jakub Konecný; Scott Sallinen (CoRR, 2015)

Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction. - Ramy Hussein; Mohamed Osama Ahmed; Rabab Ward; Z. Jane Wang 001; Levin Kuhlmann; Yi Guo 007 (CoRR, 2019)

Point Process Flows. - Nazanin Mehrasa; Ruizhi Deng; Mohamed Osama Ahmed; Bo Chang 002; Jiawei He 001; Thibaut Durand; Marcus A. Brubaker; Greg Mori (CoRR, 2019)

Combining Bayesian optimization and Lipschitz optimization. - Mohamed Osama Ahmed; Sharan Vaswani; Mark Schmidt 001 (Mach. Learn., 2020)

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 (SEC, 2021)

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. - Joao Monteiro; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Greg Mori (UAI, 2022)

Stop Overcomplicating Selective Classification: Use Max-Logit. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (CoRR, 2022)

Gumbel-Softmax Selective Networks. - Mahmoud Salem; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (CoRR, 2022)

Meta Temporal Point Processes. - Wonho Bae; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (ICLR, 2023)

Towards Better Selective Classification. - Leo Feng; Mohamed Osama Ahmed; Hossein Hajimirsadeghi; Amir H. Abdi (ICLR, 2023)

Latent Bottlenecked Attentive Neural Processes. - Leo Feng; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2023)

Constant Memory Attentive Neural Processes. - 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)

Tree Cross Attention. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICLR, 2024)

Memory Efficient Neural Processes via Constant Memory Attention Block. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Yoshua Bengio; Mohamed Osama Ahmed (ICML, 2024)

Attention as an RNN. - Leo Feng; Frederick Tung; Hossein Hajimirsadeghi; Mohamed Osama Ahmed; Yoshua Bengio; Greg Mori (CoRR, 2024)

Were RNNs All We Needed? - Leo Feng; Frederick Tung; Mohamed Osama Ahmed; Yoshua Bengio; Hossein Hajimirsadeghi (CoRR, 2024)

AdaFlood: Adaptive Flood Regularization. - Wonho Bae; Yi Ren; Mohamed Osama Ahmed; Frederick Tung; Danica J. Sutherland; Gabriel L. Oliveira (Trans. Mach. Learn. Res., 2024)