Alyson K. Fletcher

According to our database1, Alyson K. Fletcher authored at least 56 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex.
CoRR, 2020

Generalization Error of Generalized Linear Models in High Dimensions.
CoRR, 2020

Inference in Multi-Layer Networks with Matrix-Valued Unknowns.
CoRR, 2020

2019
Bilinear Recovery Using Adaptive Vector-AMP.
IEEE Trans. Signal Process., 2019

On the Convergence of Approximate Message Passing With Arbitrary Matrices.
IEEE Trans. Inf. Theory, 2019

Vector Approximate Message Passing.
IEEE Trans. Inf. Theory, 2019

Inference with Deep Generative Priors in High Dimensions.
CoRR, 2019

High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence.
CoRR, 2019

Input-Output Equivalence of Unitary and Contractive RNNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asymptotics of MAP Inference in Deep Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Sparse Multivariate Bernoulli Processes in High Dimensions.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis.
CoRR, 2018

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inference in Deep Networks in High Dimensions.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Hybrid Approximate Message Passing.
IEEE Trans. Signal Process., 2017

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization.
IEEE Trans. Inf. Theory, 2017

Inference in Deep Networks in High Dimensions.
CoRR, 2017

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Estimation and learning of Dynamic Nonlinear Networks (DyNNets).
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning and free energies for vector approximate message passing.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices.
IEEE Trans. Inf. Theory, 2016

Denoising based Vector Approximate Message Passing.
CoRR, 2016

Learning and Free Energy in Expectation Consistent Approximate Inference.
CoRR, 2016

Expectation consistent approximate inference: Generalizations and convergence.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Vector approximate message passing for the generalized linear model.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Neural mass spatio-temporal modeling from high-density electrode array recordings.
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Scalable inference of neural dynamical systems.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning.
IEEE Trans. Inf. Theory, 2014

Scalable Inference for Neuronal Connectivity from Calcium Imaging.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the convergence of approximate message passing with arbitrary matrices.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2012
Ranked Sparse Signal Support Detection.
IEEE Trans. Signal Process., 2012

Orthogonal Matching Pursuit: A Brownian Motion Analysis.
IEEE Trans. Signal Process., 2012

Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing.
IEEE Trans. Inf. Theory, 2012

Hybrid generalized approximate message passing with applications to structured sparsity.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Iterative estimation of constrained rank-one matrices in noise.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Hybrid Approximate Message Passing with Applications to Structured Sparsity
CoRR, 2011

Neural Reconstruction with Approximate Message Passing (NeuRAMP).
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Extension of replica analysis to MAP estimation with applications to compressed sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Necessary and sufficient conditions for sparsity pattern recovery.
IEEE Trans. Inf. Theory, 2009

On-Off Random Access Channels: A Compressed Sensing Framework
CoRR, 2009

Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A sparsity detection framework for on-off random access channels.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Compressive Sampling and Lossy Compression.
IEEE Signal Process. Mag., 2008

Resolution Limits of Sparse Coding in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

On subspace structure in source and channel coding.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

2007
Robust Predictive Quantization: Analysis and Design Via Convex Optimization.
J. Sel. Topics Signal Processing, 2007

On the Rate-Distortion Performance of Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory.
EURASIP J. Adv. Signal Process., 2006

2005
Analysis of denoising by sparse approximation with random frame asymptotics.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
Robust predictive quantization: a new analysis and optimization framework.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Estimation from lossy sensor data: jump linear modeling and Kalman filtering.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Optimized filtering and reconstruction in predictive quantization with losses.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Estimation error bounds for denoising by sparse approximation.
Proceedings of the 2003 International Conference on Image Processing, 2003

On multivariate estimation by thresholding.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Wavelet denoising by recursive cycle spinning.
Proceedings of the 2002 International Conference on Image Processing, 2002


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