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Saeed Amizadeh
Saeed Amizadeh
Microsoft
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Title
Cited by
Cited by
Year
Generic and scalable framework for automated time-series anomaly detection
N Laptev, S Amizadeh, I Flint
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
5522015
Learning to solve circuit-sat: An unsupervised differentiable approach
S Amizadeh, S Matusevych, M Weimer
International Conference on Learning Representations, 2018
952018
Neuro-symbolic visual reasoning: Disentangling
S Amizadeh, H Palangi, A Polozov, Y Huang, K Koishida
International Conference on Machine Learning, 279-290, 2020
852020
Machine learning at Microsoft with ML. NET
Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
692019
Towards a learning optimizer for shared clouds
C Wu, A Jindal, S Amizadeh, H Patel, W Le, S Qiao, S Rao
Proceedings of the VLDB Endowment 12 (3), 210-222, 2018
592018
Inertial hidden markov models: Modeling change in multivariate time series
G Montanez, S Amizadeh, N Laptev
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
592015
Wangchao Le, Shi Qiao, and Sriram Rao. 2018. Towards a learning optimizer for shared clouds
C Wu, A Jindal, S Amizadeh, H Patel
Proceedings of the VLDB Endowment 12 (3), 210-222, 2018
552018
Coded elastic computing
Y Yang, M Interlandi, P Grover, S Kar, S Amizadeh, M Weimer
2019 IEEE International Symposium on Information Theory (ISIT), 2654-2658, 2019
352019
PDP: A general neural framework for learning constraint satisfaction solvers
S Amizadeh, S Matusevych, M Weimer
arXiv preprint arXiv:1903.01969, 2019
262019
Yahoo anomaly detection dataset s5
N Laptev, S Amizadeh
URL http://webscope. sandbox. yahoo. com/catalog. php, 2015
202015
Interactive learning in continuous multimodal space: a bayesian approach to action-based soft partitioning and learning
H Firouzi, MN Ahmadabadi, BN Araabi, S Amizadeh, MS Mirian, ...
IEEE Transactions on Autonomous Mental Development 4 (2), 124-138, 2011
122011
S5-A labeled anomaly detection dataset, version 1.0 (16M)
N Laptev, S Amizadeh, Y Billawala
Mar, 2015
102015
Yahoo anomaly detection dataset S5 (2015)
N Laptev, S Amizadeh
URL http://webscope. sandbox. yahoo. com. Retrieved on 15, 2019
82019
A neural framework for learning DAG to DAG translation
M Kaluza, S Amizadeh, R Yu
NeurIPS’2018 Workshop, 2018
82018
A bayesian approach to conceptualization using reinforcement learning
S Amizadeh, MN Ahmadabadi, BN Araabi, R Siegwart
2007 IEEE/ASME international conference on advanced intelligent mechatronics …, 2007
82007
WindTunnel: towards differentiable ML pipelines beyond a single model
GI Yu, S Amizadeh, S Kim, A Pagnoni, C Zhang, BG Chun, M Weimer, ...
Proceedings of the VLDB Endowment 15 (1), 11-20, 2021
62021
Selecting a neural network architecture for a supervised machine learning problem
S Amizadeh, G Yang, N Fusi, FP Casale
US Patent App. 15/976,514, 2019
62019
Making classical machine learning pipelines differentiable: A neural translation approach
GI Yu, S Amizadeh, S Kim, A Pagnoni, BG Chun, M Weimer, M Interlandi
arXiv preprint arXiv:1906.03822, 2019
62019
Machine learning at microsoft with ml. net
M Interlandi, S Matusevych, S Amizadeh, S Zahirazami, M Weimer
62018
Variational dual-tree framework for large-scale transition matrix approximation
S Amizadeh, B Thiesson, M Hauskrecht
arXiv preprint arXiv:1210.4846, 2012
62012
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Articles 1–20