Mohamed Osama Ahmed
Mohamed Osama Ahmed
Borealis AI
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Stopwasting my gradients: Practical svrg
R Babanezhad Harikandeh, MO Ahmed, A Virani, M Schmidt, J Konečný, ...
Advances in Neural Information Processing Systems 28, 2015
Non-uniform stochastic average gradient method for training conditional random fields
M Schmidt, R Babanezhad, M Ahmed, A Defazio, A Clifton, A Sarkar
artificial intelligence and statistics, 819-828, 2015
Power line communications for low-voltage power grid tomography
MO Ahmed, L Lampe
IEEE Transactions on Communications 61 (12), 5163-5175, 2013
Human intracranial EEG quantitative analysis and automatic feature learning for epileptic seizure prediction
R Hussein, MO Ahmed, R Ward, ZJ Wang, L Kuhlmann, Y Guo
arXiv preprint arXiv:1904.03603, 2019
Do we need “harmless” Bayesian optimization and “first-order” Bayesian optimization
MO Ahmed, B Shahriari, M Schmidt
NIPS BayesOpt, 2016
Power line network topology inference using frequency domain reflectometry
MO Ahmed, L Lampe
2012 IEEE International Conference on Communications (ICC), 3419-3423, 2012
Power grid topology inference using power line communications
L Lampe, MO Ahmed
2013 IEEE International Conference on Smart Grid Communications …, 2013
Combining Bayesian optimization and Lipschitz optimization
MO Ahmed, S Vaswani, M Schmidt
Machine Learning 109, 79-102, 2020
Point process flows
N Mehrasa, R Deng, MO Ahmed, B Chang, J He, T Durand, M Brubaker, ...
arXiv preprint arXiv:1910.08281, 2019
System and method for generative model for stochastic point processes
N Mehrasa, AA Jyothi, T Durand, J He, M Gregory, M Ahmed, M Brubaker
US Patent App. 16/685,327, 2020
Parametric and nonparametric methods for power line network topology inference
MO Ahmed, L Lampe
2012 IEEE International Symposium on Power Line Communications and Its …, 2012
Meta Temporal Point Processes
W Bae, MO Ahmed, F Tung, GL Oliveira
The Eleventh International Conference on Learning Representations, 2023
Are large language model-based evaluators the solution to scaling up multilingual evaluation?
R Hada, V Gumma, A de Wynter, H Diddee, M Ahmed, M Choudhury, ...
arXiv preprint arXiv:2309.07462, 2023
Towards Better Selective Classification
L Feng, MO Ahmed, H Hajimirsadeghi, AH Abdi
The Eleventh International Conference on Learning Representations, 2023
Molecular representation learning with language models and domain-relevant auxiliary tasks. arXiv 2020
B Fabian, T Edlich, H Gaspar, M Segler, J Meyers, M Fiscato, M Ahmed
arXiv preprint arXiv:2011.13230, 0
Latent Bottlenecked Attentive Neural Processes
L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed
The Eleventh International Conference on Learning Representations, 2023
Stop overcomplicating selective classification: Use max-logit
L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi
arXiv preprint arXiv:2206.09034, 2022
Mirage: Machine learning-based modeling of identical replicas of the jetson agx embedded platform
HA Abdelhafez, H Halawa, MO Ahmed, K Pattabiraman, M Ripeanu
2021 IEEE/ACM Symposium on Edge Computing (SEC), 26-40, 2021
Decentralized, adaptive, look-ahead particle filtering
MO Ahmed, PT Bibalan, N de Freitas, S Fauvel
arXiv preprint arXiv:1203.2394, 2012
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification
J Monteiro, MO Ahmed, H Hajimirsadeghi, G Mori
Uncertainty in Artificial Intelligence, 1381-1391, 2022
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