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Mohamed Osama Ahmed
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Journal Articles
- 2020
- [j2]Mohamed Osama Ahmed
, Sharan Vaswani, Mark Schmidt:
Combining Bayesian optimization and Lipschitz optimization. Mach. Learn. 109(1): 79-102 (2020) - 2013
- [j1]Mohamed Osama Ahmed, Lutz Lampe:
Power Line Communications for Low-Voltage Power Grid Tomography. IEEE Trans. Commun. 61(12): 5163-5175 (2013)
Conference and Workshop Papers
- 2024
- [c10]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Tree Cross Attention. ICLR 2024 - 2023
- [c9]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. ICLR 2023 - [c8]Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi:
Towards Better Selective Classification. ICLR 2023 - [c7]Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Latent Bottlenecked Attentive Neural Processes. ICLR 2023 - 2022
- [c6]Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori:
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. UAI 2022: 1381-1391 - 2021
- [c5]Hassan Halawa, Hazem A. Abdelhafez, Mohamed Osama Ahmed, Karthik Pattabiraman, Matei Ripeanu:
MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform. SEC 2021: 26-40 - 2015
- [c4]Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar:
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields. AISTATS 2015 - [c3]Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen:
StopWasting My Gradients: Practical SVRG. NIPS 2015: 2251-2259 - 2013
- [c2]Lutz Lampe, Mohamed Osama Ahmed:
Power grid topology inference using power line communications. SmartGridComm 2013: 336-341 - 2012
- [c1]Mohamed Osama Ahmed
, Lutz Lampe:
Power line network topology inference using Frequency Domain Reflectometry. ICC 2012: 3419-3423
Informal and Other Publications
- 2024
- [i16]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori:
Attention as an RNN. CoRR abs/2405.13956 (2024) - 2023
- [i15]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. CoRR abs/2301.12023 (2023) - [i14]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Constant Memory Attentive Neural Processes. CoRR abs/2305.14567 (2023) - [i13]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Constant Memory Attention Block. CoRR abs/2306.12599 (2023) - [i12]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Tree Cross Attention. CoRR abs/2309.17388 (2023) - [i11]Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira:
AdaFlood: Adaptive Flood Regularization. CoRR abs/2311.02891 (2023) - 2022
- [i10]Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori:
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification. CoRR abs/2205.08247 (2022) - [i9]Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir H. Abdi:
Stop Overcomplicating Selective Classification: Use Max-Logit. CoRR abs/2206.09034 (2022) - [i8]Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed:
Latent Bottlenecked Attentive Neural Processes. CoRR abs/2211.08458 (2022) - [i7]Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Gumbel-Softmax Selective Networks. CoRR abs/2211.10564 (2022) - 2019
- [i6]Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo:
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction. CoRR abs/1904.03603 (2019) - [i5]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [i4]Mohamed Osama Ahmed, Sharan Vaswani, Mark Schmidt:
Combining Bayesian Optimization and Lipschitz Optimization. CoRR abs/1810.04336 (2018) - 2015
- [i3]Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar:
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields. CoRR abs/1504.04406 (2015) - [i2]Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konecný, Scott Sallinen:
Stop Wasting My Gradients: Practical SVRG. CoRR abs/1511.01942 (2015) - 2012
- [i1]Mohamed Osama Ahmed, Pouyan T. Bibalan, Nando de Freitas, Simon Fauvel:
Decentralized, Adaptive, Look-Ahead Particle Filtering. CoRR abs/1203.2394 (2012)
Coauthor Index
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