Lahiru D. Chamain

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All published works

Action	Title	Year	Authors
+	End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification	2023	Siyu Qi Lahiru D. Chamain Zhi Ding
+	A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification	2023	Siyu Qi Achintha Wijesinghe Lahiru D. Chamain Zhi Ding
+ PDF Chat	End-to-End optimized image compression for machines, a study	2021	Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman
+	End-to-end optimized image compression for multiple machine tasks	2021	Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman
+	End-to-end optimized image compression for machines, a study	2020	Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman
+ PDF Chat	Eigenvalue-Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses	2020	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura
+	End-to-end optimized image compression for machines, a study	2020	Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman
+ PDF Chat	Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis	2019	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura
+	Eigenvalue Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses	2019	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura
+	Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis	2019	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura
+	Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications	2019	Lahiru D. Chamain Zhi Ding
+	Eigenvalue Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses	2019	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura
+	Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis	2019	Lahiru D. Chamain Prathapasinghe Dharmawansa Saman Atapattu Chintha Tellambura

Common Coauthors

Coauthor	Papers Together
Prathapasinghe Dharmawansa	6
Chintha Tellambura	6
Saman Atapattu	6
Simon Feltman	4
Akshay Pushparaja	4
Jean Bégaint	4
Fabien Racapé	4
Zhi Ding	3
Siyu Qi	2
Achintha Wijesinghe	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Joint density of eigenvalues in spiked multivariate models	2014	Prathapasinghe Dharmawansa Iain M. Johnstone	4
+	Extreme eigenvalues of large-dimensional spiked Fisher matrices with application	2017	Qinwen Wang Jianfeng Yao	4
+ PDF Chat	Roy’s largest root test under rank-one alternatives	2016	Iain M. Johnstone Boaz Nadler	4
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	4
+ PDF Chat	Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples	2010	Raj Rao Nadakuditi Jack W. Silverstein	4
+ PDF Chat	Distributions of Matrix Variates and Latent Roots Derived from Normal Samples	1964	A. T. James	4
+ PDF Chat	Fluctuations of Spiked Random Matrix Models and Failure Diagnosis in Sensor Networks	2012	Romain Couillet Walid Hachem	4
+ PDF Chat	Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices	2005	Jinho Baik Gérard Ben Arous Sandrine Péché	4
+ PDF Chat	Smallest eigenvalue distributions for two classes of β-Jacobi ensembles	2012	Ioana Dumitriu	4
+ PDF Chat	Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory	2011	Paola Bianchi Mérouane Debbah Marcello Maida Jamal Najım	4
+ PDF Chat	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples	2008	Raj Rao Nadakuditi Alan Edelman	4
+ PDF Chat	Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern	2013	Julia Vinogradova Romain Couillet Walid Hachem	4
+	Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA)	2017	Nicholas Asendorf Raj Rao Nadakuditi	4
+	Local Asymptotic Normality of the spectrum of high-dimensional spiked F-ratios	2014	Prathapasinghe Dharmawansa Iain M. Johnstone Alexei Onatski	4
+	DISTRIBUTIONS OF THE EXTREME EIGENVALUES OF THE COMPLEX JACOBI RANDOM MATRIX ENSEMBLE	2005	Plamen Koev Ioana Dumitriu	4
+	Large System Analysis of a GLRT for Detection With Large Sensor Arrays in Temporally White Noise	2015	Sonja Hiltunen Philippe Loubaton Pascal Chevalier	4
+ PDF Chat	The Largest Eigenvalue of Real Symmetric, Hermitian and Hermitian Self-dual Random Matrix Models with Rank One External Source, Part I	2012	Dong Wang	4
+	Hypergeometric functions of matrix arguments and linear statistics of multi-spiked Hermitian matrix models	2015	Damien Passemier Matthew R. McKay Yang Chen	4
+ PDF Chat	DETECTION OF WEAK SIGNALS IN HIGH-DIMENSIONAL COMPLEX-VALUED DATA	2014	Alexei Onatski	3
+	Aspects of Multivariate Statistical Theory	1984	Leon Jay Gleser Robb J. Muirhead	3
+	The rank 1 real Wishart spiked model	2011	M. Y. Mo	3
+ PDF Chat	End-to-End Learning of Compressible Features	2020	Saurabh Singh Sami Abu-El-Haija Nick Johnston Johannes Ballé Abhinav Shrivastava George Toderici	2
+ PDF Chat	Tables of Integral Transforms	2005	Bateman Manuscript H. Bateman Arthur Erdélyi	2
+	Some Bounds for the Logarithmic Function	2004	Flemming Topsøe	2
+	The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data	2013	Nicholas Asendorf Raj Rao Nadakuditi	2
+ PDF Chat	The Strong Limits of Random Matrix Spectra for Sample Matrices of Independent Elements	1978	Kenneth W. Wachter	2
+ PDF Chat	Rank 1 real Wishart spiked model	2012	M. Y. Mo	2
+	Distributions of the Extreme Eigenvaluesof Beta–Jacobi Random Matrices	2008	Ioana Dumitriu Plamen Koev	2
+ PDF Chat	Positive Dependence of the Roots of a Wishart Matrix	1978	Richard L. Dykstra John E. Hewett	2
+ PDF Chat	Distributions of Demmel and Related Condition Numbers	2013	Prathapasinghe Dharmawansa Matthew R. McKay Yang Chen	2
+	Statistical mechanics of learning multiple orthogonal signals: Asymptotic theory and fluctuation effects	2007	David C. Hoyle Magnus Rattray	2
+	Limit theorems for beta-Jacobi ensembles	2013	Tiefeng Jiang	2
+	The Limiting Eigenvalue Distribution of a Multivariate <i>F</i> Matrix	1985	Jack W. Silverstein	2
+	Universality for the largest eigenvalue of sample covariance matrices with general population	2015	Zhigang Bao Guangming Pan Zhou Wang	2
+ PDF Chat	PROBABILITY DENSITIES AND DISTRIBUTIONS FOR SPIKED AND GENERAL VARIANCE WISHART β-ENSEMBLES	2013	Peter J. Forrester	2
+	Testing in high-dimensional spiked models	2015	Iain M. Johnstone Alexei Onatski	2
+	Roy's largest root under rank-one alternatives:The complex valued case and applications	2014	Prathapasinghe Dharmawansa Boaz Nadler Ofer Shwartz	2
+	Some new results on the eigenvalues of complex non-central Wishart matrices with a rank-1 mean	2016	Prathapasinghe Dharmawansa	2
+	Joint autoregressive and hierarchical priors for learned image compression	2018	David Minnen Johannes Ballé George Toderici	2
+	Roy’s largest root under rank-one perturbations: The complex valued case and applications	2019	Prathapasinghe Dharmawansa Boaz Nadler Ofer Shwartz	2
+	Variational image compression with a scale hyperprior	2018	Johannes Ballé David Minnen Saurabh Singh Sung Jin Hwang Nick Johnston	2
+ PDF Chat	Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules	2020	Zhengxue Cheng Heming Sun Masaru Takeuchi Jiro Katto	2
+	The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study	2020	Xiyang Luo Hossein Talebi Feng Yang Michael Elad Peyman Milanfar	2
+ PDF Chat	Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics	2020	Ling‐Yu Duan Jiaying Liu Wenhan Yang Tiejun Huang Wen Gao	2
+ PDF Chat	Channel-Wise Autoregressive Entropy Models for Learned Image Compression	2020	David Minnen Saurabh Singh	2
+	CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.	2020	Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja	2
+ PDF Chat	Multivariate analysis and Jacobi ensembles: Largest eigenvalue, Tracy–Widom limits and rates of convergence	2008	Iain M. Johnstone	2
+ PDF Chat	Finite sample approximation results for principal component analysis: A matrix perturbation approach	2008	Boaz Nadler	2
+ PDF Chat	Tracy–Widom limit for the largest eigenvalue of a large class of complex sample covariance matrices	2007	Noureddine El Karoui	2
+ PDF Chat	Tables of integral transforms	1954		2