Ahmad Moniri

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All published works

Action	Title	Year	Authors
+	Tucker Tensor Layer in Fully Connected Neural Networks	2019	Giuseppe G. Calvi Ahmad Moniri Mahmoud Mahfouz Zeyang Yu Qibin Zhao Danilo P. Mandic
+	Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation	2019	Giuseppe G. Calvi Ahmad Moniri Mahmoud Mahfouz Qibin Zhao Danilo P. Mandic
+	Tensor Ensemble Learning for Multidimensional Data	2018	Ilia Kisil Ahmad Moniri Danilo P. Mandic
+	Tensor Ensemble Learning	2018	Ilya Kisil Danilo P. Mandic Ahmad Moniri
+ PDF Chat	TENSOR ENSEMBLE LEARNING FOR MULTIDIMENSIONAL DATA	2018	Ilia Kisil Ahmad Moniri Danilo P. Mandic
+	A Data Analytics Perspective of the Clarke and Related Transforms in Power Grid Analysis	2018	Danilo P. Mandic Sithan Kanna Yili Xia Ahmad Moniri A.G. Constantinides
+	Tensor Ensemble Learning for Multidimensional Data	2018	Ilia Kisil Ahmad Moniri Danilo P. Mandic

Common Coauthors

Coauthor	Papers Together
Danilo P. Mandic	7
Ilia Kisil	3
Mahmoud Mahfouz	2
Giuseppe G. Calvi	2
A.G. Constantinides	1
Sithan Kanna	1
Ilya Kisil	1
Qibin Zhao	1
Zeyang Yu	1
Qibin Zhao	1
Yili Xia	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Tensor-Train Decomposition	2011	Ivan Oseledets	3
+ PDF Chat	A Multilinear Singular Value Decomposition	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	3
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	3
+	Joint Tensor Feature Analysis For Visual Object Recognition	2014	Wai Keung Wong Zhihui Lai Yong Xu Jiajun Wen Chu Po Ho	2
+ PDF Chat	Tensor decompositions for feature extraction and classification of high dimensional datasets	2010	Anh Huy Phan Andrzej Cichocki	2
+ PDF Chat	Popular Ensemble Methods: An Empirical Study	1999	David W. Opitz Richard Maclin	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?	2018	Ilia Kisil Giuseppe G. Calvi Andrzej Cichocki Danilo P. Mandic	2
+	Three-way component analysis: Principles and illustrative application.	2001	Henk A. L. Kiers Iven Van Mechelen	2
+	Feature Fusion via Tensor Network Summation	2018	Giuseppe G. Calvi Ilia Kisil Danilo P. Mandic	2
+ PDF Chat	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis	2015	Andrzej Cichocki Danilo P. Mandic Lieven De Lathauwer Guoxu Zhou Qibin Zhao César F. Caiafa Anh Huy Phan	2
+	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	2
+	Decompositions of a Higher-Order Tensor in Block Terms—Part II: Definitions and Uniqueness	2008	Lieven De Lathauwer	2
+	Understanding data fusion within the framework of coupled matrix and tensor factorizations	2013	Evrim Acar Morten Arendt Rasmussen Francesco Savorani Tormod Næs Rasmus Bro	2
+ PDF Chat	Tensor-based anomaly detection: An interdisciplinary survey	2016	Hadi Fanaee‐T João Gama	2
+ PDF Chat	Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase	2016	Rob Zink Borbála Hunyadi Sabine Van Huffel Maarten De Vos	2
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	1
+	Tensor Regression Networks	2017	Jean Kossaifi Zachary C. Lipton Arinbjörn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar	1
+	A Tutorial on Principal Component Analysis	2014	Jonathon Shlens	1
+ PDF Chat	Bagging predictors	1996	Leo Breiman	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Tensorizing Neural Networks	2015	Alexander Novikov Dmitry Podoprikhin Anton Osokin Dmitry Vetrov	1
+ PDF Chat	Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions	2014	Sergey Dolgov Dmitry Savostyanov	1
+	Principal component analysis	1987	Svante Wold Kim H. Esbensen Paul Geladi	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	PARAFAC. Tutorial and applications	1997	Rasmus Bro	1
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	1
+ PDF Chat	Matrix differential calculus with applications to simple, hadamard, and kronecker products	1985	Jan R. Magnus Heinz Neudecker	1
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	1
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	1
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives	2017	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Masashi Sugiyama Danilo P. Mandic	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Tensor Contraction & Regression Networks	2018	Jean Kossaifi Zack Chase Lipton Aran Khanna Tommaso Furlanello Anima Anandkumar	1
+	Tensor Regression Networks with various Low-Rank Tensor Approximations	2017	Xingwei Cao Guillaume Rabusseau Joëlle Pineau	1
+ PDF Chat	ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition	2018	Zhisheng Zhong Fangyin Wei Zhouchen Lin Chao Zhang	1