Jonathan H. Manton

ORCID

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 60

Top Venues

Publications

Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms. ISTC (2023)
Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms. CoRR (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324 (2023)
Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping
On OAMP: Impact of the Orthogonal Principle. IEEE Trans. Commun. 71 (5) (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR (2023)
Behnam Mafakheri, Jonathan H. Manton, Iman Shames
On Distributed Nonconvex Optimisation via Modified ADMM. IEEE Control. Syst. Lett. 7 (2023)
Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
Orthogonal AMP for Problems With Multiple Measurement Vectors and/or Multiple Transforms. IEEE Trans. Signal Process. 71 (2023)
Zhaopeng Xu, Shuangyu Dong, Honglin Ji, Jonathan H. Manton, William Shieh
Computationally-Efficient Sparsely-Connected Multi-Output Neural Networks for IM/DD System Equalization. OFC (2022)
Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping
On Orthogonal Approximate Message Passing. CoRR (2022)
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW (2022)
Alejandro I. Maass, Chris Manzie, Dragan Nesic, Jonathan H. Manton, Iman Shames
Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization. SIAM J. Optim. 32 (2) (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR (2022)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR (2022)
Zhaopeng Xu, Chuanbowen Sun, Shuangyu Dong, Jonathan H. Manton, William Shieh
Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction. OFC (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR (2021)
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT (2021)
Iman Shames, Daniel Selvaratnam, Jonathan H. Manton
Online Optimization Using Zeroth Order Oracles. IEEE Control. Syst. Lett. 4 (1) (2020)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. ISIT (2020)
Jonathan H. Manton
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization. IEEE Signal Process. Mag. 37 (5) (2020)
Pavel Tolmachev, Jonathan H. Manton
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. IJCNN (2020)
Pavel Tolmachev, Jonathan H. Manton
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. CoRR (2020)
Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan
An optimisation geometry framework for the Rayleigh quotient. EUSIPCO (2020)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. CoRR (2020)
Christopher McLean, Michael Pauley, Jonathan H. Manton
Non-Parametric Decompounding of Pulse Pile-Up Under Gaussian Noise With Finite Data Sets. IEEE Trans. Signal Process. 68 (2020)
Salem Said, Jonathan H. Manton
The Riemannian Barycentre as a Proxy for Global Optimisation. GSI (2019)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. IPMI (2019)
Michael Pauley, Jonathan H. Manton
Global Optimisation for Time of Arrival-Based Localisation. SSP (2018)
Michael Pauley, Jonathan H. Manton
The Existence Question for Maximum-Likelihood Estimators in Time-of-Arrival-Based Localization. IEEE Signal Process. Lett. 25 (9) (2018)
Guang Deng, Jonathan H. Manton, Song Wang
Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix. J. Math. Imaging Vis. 60 (8) (2018)
Daniel D. Selvaratnam, Iman Shames, Jonathan H. Manton, Mohammad Zamani
Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints. CDC (2018)
Xi Li, Pavel Tolmachev, Michael Pauley, Jonathan H. Manton
A Distributed Transmission Scheduling Algorithm for Wireless Networks Based on the Ising Model. SSP (2018)
Christopher McLean, Michael Pauley, Jonathan H. Manton
Limitations of Decision Based Pile-Up Correction Algorithms. SSP (2018)
Pavel Tolmachev, Rishi R. Dhingra, Michael Pauley, Mathias Dutschmann, Jonathan H. Manton
Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons. ICONIP (1) (2018)
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
ManifoldNet: A Deep Network Framework for Manifold-valued Data. CoRR (2018)
Christopher McLean, Michael Pauley, Jonathan H. Manton
Performance metrics for energy spectrum estimation. GlobalSIP (2017)
Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
Density Estimation for Compound Cox Processes on Hyperspheres. GSI (2017)
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI (2017)
Jonathan H. Manton, Nicolas Le Bihan
On some global topological aspects of manifold learning. ICIP (2017)
Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE Trans. Inf. Theory 63 (4) (2017)
Michael Pauley, Christopher McLean, Jonathan H. Manton
Numerical filtering of linear state-space models with Markov switching. ICASSP (2017)
Levin Kuhlmann, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley
Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Michael Pauley, Jonathan H. Manton
Optimisation geometry and its implications for optimisation algorithms. CAMSAP (2017)
Daniel D. Selvaratnam, Iman Shames, Dimos V. Dimarogonas, Jonathan H. Manton, Branko Ristic
Co-operative estimation for source localisation using binary sensors. CDC (2017)
Shabnam Khatibi, Hong-Jian Zhu, John Wagner, Chin Wee Tan, Jonathan H. Manton, Antony W. Burgess
Mathematical model of TGF-βsignalling: feedback coupling is consistent with signal switching. BMC Syst. Biol. 11 (1) (2017)
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Filtering from observations on Stiefel manifolds. Signal Process. 122 (2016)
Julien Flamand, Nicolas Le Bihan, Andrew V. Martin, Jonathan H. Manton
Low-resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging. ICASSP (2016)
Roghieh Skandari, Yuichi Iino, Jonathan H. Manton
On an analogue signal processing circuit in the Nematode C. elegans. EMBC (2016)
Cong Cao, Zengfu Wang, Moshe Zukerman, Jonathan H. Manton, Alain Bensoussan, Yu Wang
Optimal Cable Laying Across an Earthquake Fault Line Considering Elliptical Failures. IEEE Trans. Reliab. 65 (3) (2016)
Levin Kuhlmann, Dean R. Freestone, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley
Neural mass model-based tracking of anesthetic brain states. NeuroImage 133 (2016)
Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton
Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Trans. Inf. Theory 62 (10) (2016)
Salem Said, Jonathan H. Manton
Particle filtering with observations in a manifold. ICASSP (2015)
Jonathan H. Manton
A framework for generalising the Newton method and other iterative methods from Euclidean space to manifolds. Numerische Mathematik 129 (1) (2015)
Rosita Shishegar, Jonathan H. Manton, David W. Walker, Joanne M. Britto, Leigh A. Johnston
Quantifying gyrification using Laplace Beltrami eigenfunction level-sets. ISBI (2015)
Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
Parameter estimation for multiple scattering process on the sphere. ICASSP (2015)
Jonathan H. Manton, Pierre-Olivier Amblard
A Primer on Reproducing Kernel Hilbert Spaces. Found. Trends Signal Process. 8 (1-2) (2015)
Roghieh Skandari, Nicolas Le Bihan, Jonathan H. Manton
C. elegans locomotion analysis using algorithmic information theory. EMBC (2015)
Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton
Isotropic Multiple Scattering Processes on Hyperspheres. CoRR (2014)
Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton
Monte-carlo estimation from observation on stiefel manifold. ICASSP (2014)
Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua
Constellation Design for a Multicarrier Optical Wireless Communication Channel. IEEE Trans. Commun. 62 (1) (2014)
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Comput. 26 (3) (2014)
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Filtering from Observations on Stiefel Manifolds. CoRR (2014)
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
A quantitative technique for assessing the change in severity over time in psoriatic lesions using computer aided image analysis. EMBC (2013)
Jonathan H. Manton, David Applebaum, Shiro Ikeda, Nicolas Le Bihan
Introduction to the issue on differential geometry in signal processing. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Minyi Huang, Jonathan H. Manton
Opinion dynamics with noisy information. CDC (2013)
Salem Said, Jonathan H. Manton
On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control. Optim. 51 (1) (2013)
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images. IEEE Trans. Medical Imaging 32 (4) (2013)
Sei Zhen Khong, Michael Cantoni, Jonathan H. Manton
A gap metric perspective of well-posedness for nonlinear feedback interconnections. AuCC (2013)
Pierre-Olivier Amblard, Jonathan H. Manton
On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence. ICASSP (2013)
Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Trans. Inf. Theory 59 (6) (2013)
Jonathan H. Manton
A Primer on Stochastic Differential Geometry for Signal Processing. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua
Power-Efficient Constellation Design for a Multicarrier Optical Wireless System. MILCOM (2013)
Salem Said, Jonathan H. Manton
Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Trans. Inf. Theory 58 (6) (2012)
Jérémie Boulanger, Nicolas Le Bihan, Jonathan H. Manton
Wiener filtering of rotation processes using ordered exponential. SSP (2012)
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
Online learning in Bayesian Spiking Neurons. IJCNN (2012)
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis. Australasian Conference on Artificial Intelligence (2012)
Mohammad Rezaeian, Jonathan H. Manton, Bill Moran
Tracking Markov targets in binary sensor networks: Source coding and large deviation limits on the required number of queries. ICICS (2011)
Lin Li, Anna Scaglione, Jonathan H. Manton
Distributed Principal Subspace Estimation in Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 5 (4) (2011)
Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton
An introductory review of information theory in the context of computational neuroscience. Biol. Cybern. 105 (1) (2011)
Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton
An Introductory Review of Information Theory in the Context of Computational Neuroscience CoRR (2011)
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
Decompounding on compact lie groups. IEEE Trans. Inf. Theory 56 (6) (2010)
Minyi Huang, Jonathan H. Manton
Stochastic Consensus Seeking With Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies. IEEE Trans. Autom. Control. 55 (1) (2010)
Minyi Huang, Subhrakanti Dey, Girish N. Nair, Jonathan H. Manton
Stochastic consensus over noisy networks with Markovian and arbitrary switches. Autom. 46 (10) (2010)
Juan Lu, Jonathan H. Manton, Ed Kazmierczak, Rodney Sinclair
Erythema detection in digital skin images. ICIP (2010)
Lin Li, Xiao Li, Anna Scaglione, Jonathan H. Manton
Decentralized Subspace Tracking via Gossiping. DCOSS (2010)
Xueyuan Su, Sammy Chan, Jonathan H. Manton
Bandwidth allocation in wireless ad hoc networks: Challenges and prospects. IEEE Commun. Mag. 48 (1) (2010)
Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton
Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP (2009)
Weiwei Wu, William Moran, Jonathan H. Manton, Moshe Zukerman
Topology Design of Undersea Cables Considering Survivability Under Major Disasters. AINA Workshops (2009)
Song Wang, Jonathan H. Manton
A Cross-Relation-Based Frequency-Domain Method for Blind SIMO-OFDM Channel Estimation. IEEE Signal Process. Lett. 16 (10) (2009)
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
Decompounding on compact Lie groups CoRR (2009)
Shiro Ikeda, Jonathan H. Manton
Spiking neuron channel. ISIT (2009)
Shiro Ikeda, Jonathan H. Manton
Capacity of a Single Spiking Neuron Channel. Neural Comput. 21 (6) (2009)
Anatoli Torokhti, Jonathan H. Manton
Generic weighted filtering of stochastic signals. IEEE Trans. Signal Process. 57 (12) (2009)
Song Wang, Jonathan H. Manton
Blind Channel Estimation for Non-CP OFDM Systems Using Multiple Receive Antennas. IEEE Signal Process. Lett. 16 (4) (2009)
Minyi Huang, Jonathan H. Manton
Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior. SIAM J. Control. Optim. 48 (1) (2009)
Minyi Huang, Jonathan H. Manton
Stochastic consensus seeking with measurement noise: Convergence and asymptotic normality. ACC (2008)
Haitong Sun, Zhihua Shi, Chunming Zhao, Jonathan H. Manton, Zhi Ding
Progressive Linear Precoder Optimization for MIMO Packet Retransmissions Exploiting Channel Covariance Information. IEEE Trans. Commun. 56 (5) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan H. Manton