Ahmed, Mohamed Osama

13 publications

TMLR 2024 AdaFlood: Adaptive Flood Regularization Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira

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

ICLR 2024 Tree Cross Attention Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

ICMLW 2023 Constant Memory Attention Block Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

ICLR 2023 Latent Bottlenecked Attentive Neural Processes Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

ICLR 2023 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

NeurIPSW 2022 Efficient Queries Transformer Neural Processes Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

UAI 2022 Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification João Monteiro, Mohamed Osama Ahmed, Hoseein Hajimirsadeghi, Greg Mori

NeurIPSW 2021 Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing the Right Points Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori

MLJ 2020 Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed, Sharan Vaswani, Mark Schmidt

AISTATS 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

NeurIPS 2015 StopWasting My Gradients: Practical SVRG Reza Babanezhad Harikandeh, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konečný, Scott Sallinen