Alyson K. Fletcher

According to our database, Alyson K. Fletcher authored at least 68 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Embedding Representations in High Dimensions.

Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Estimation of embedding vectors in high dimensions.

Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan

CoRR, 2023

A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning.

Golara Ahmadi Azar, Qin Hu, Melika Emami, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar

CoRR, 2023

ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding.

Qin Hu, Golara Ahmadi Azar, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar

CoRR, 2023

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks.

Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions.

Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2022

Instability and Local Minima in GAN Training with Kernel Discriminators.

Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Asymptotics of Ridge Regression in Convolutional Models.

Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 38th International Conference on Machine Learning, 2021

Implicit Bias of Linear RNNs.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Inference With Deep Generative Priors in High Dimensions.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Autoregressive Linear Models for Discrete High-Dimensional Data.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

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

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi

CoRR, 2020

Inference in Multi-Layer Networks with Matrix-Valued Unknowns.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

CoRR, 2020

Matrix Inference and Estimation in Multi-Layer Models.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalization Error of Generalized Linear Models in High Dimensions.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Bilinear Recovery Using Adaptive Vector-AMP.

Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter

IEEE Trans. Signal Process., 2019

On the Convergence of Approximate Message Passing With Arbitrary Matrices.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher, Subrata Sarkar

IEEE Trans. Inf. Theory, 2019

Vector Approximate Message Passing.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

IEEE Trans. Inf. Theory, 2019

High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2019

Input-Output Equivalence of Unitary and Contractive RNNs.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher

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.

Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the IEEE International Symposium on Information Theory, 2019

Sparse Multivariate Bernoulli Processes in High Dimensions.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

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.

Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter

CoRR, 2018

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

Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter

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.

Alyson K. Fletcher, Sundeep Rangan, Philip Schniter

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Hybrid Approximate Message Passing.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Evan Byrne, Philip Schniter

IEEE Trans. Signal Process., 2017

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization.

Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov

IEEE Trans. Inf. Theory, 2017

Inference in Deep Networks in High Dimensions.

Alyson K. Fletcher, Sundeep Rangan

CoRR, 2017

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems.

Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter

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).

Mojtaba Sahraee-Ardakan, Alyson K. Fletcher

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning and free energies for vector approximate message passing.

Alyson K. Fletcher, Philip Schniter

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices.

Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher

IEEE Trans. Inf. Theory, 2016

Denoising based Vector Approximate Message Passing.

Philip Schniter, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2016

Learning and Free Energy in Expectation Consistent Approximate Inference.

Alyson K. Fletcher

CoRR, 2016

Expectation consistent approximate inference: Generalizations and convergence.

Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter

Proceedings of the IEEE International Symposium on Information Theory, 2016

Vector approximate message passing for the generalized linear model.

Philip Schniter, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Neural mass spatio-temporal modeling from high-density electrode array recordings.

Alyson K. Fletcher, Jon Viventi, Sundeep Rangan

Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Scalable inference of neural dynamical systems.

Alyson K. Fletcher

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning.

Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser

IEEE Trans. Inf. Theory, 2014

Scalable Inference for Neuronal Connectivity from Calcium Imaging.

Alyson K. Fletcher, Sundeep Rangan

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.

Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2012

Ranked Sparse Signal Support Detection.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

IEEE Trans. Signal Process., 2012

Orthogonal Matching Pursuit: A Brownian Motion Analysis.

Alyson K. Fletcher, Sundeep Rangan

IEEE Trans. Signal Process., 2012

Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal

IEEE Trans. Inf. Theory, 2012

Hybrid generalized approximate message passing with applications to structured sparsity.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Iterative estimation of constrained rank-one matrices in noise.

Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Hybrid Approximate Message Passing with Applications to Structured Sparsity

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter

CoRR, 2011

Neural Reconstruction with Approximate Message Passing (NeuRAMP).

Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava

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.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

Necessary and sufficient conditions for sparsity pattern recovery.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

IEEE Trans. Inf. Theory, 2009

On-Off Random Access Channels: A Compressed Sensing Framework

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

CoRR, 2009

Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing.

Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal

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.

Alyson K. Fletcher, Sundeep Rangan

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.

Alyson K. Fletcher, Vivek K. Goyal, Sundeep Rangan

Proceedings of the IEEE International Symposium on Information Theory, 2009

2008

Compressive Sampling and Lossy Compression.

Vivek K. Goyal, Alyson K. Fletcher, Sundeep Rangan

IEEE Signal Process. Mag., 2008

Resolution Limits of Sparse Coding in High Dimensions.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

On subspace structure in source and channel coding.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

2007

Robust Predictive Quantization: Analysis and Design Via Convex Optimization.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

J. Sel. Topics Signal Processing, 2007

On the Rate-Distortion Performance of Compressed Sensing.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

EURASIP J. Adv. Signal Process., 2006

Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005

Analysis of denoising by sparse approximation with random frame asymptotics.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004

Robust predictive quantization: a new analysis and optimization framework.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Estimation from lossy sensor data: jump linear modeling and Kalman filtering.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Optimized filtering and reconstruction in predictive quantization with losses.

Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 2004 International Conference on Image Processing, 2004

2003

Estimation error bounds for denoising by sparse approximation.

Alyson K. Fletcher, Kannan Ramchandran

Proceedings of the 2003 International Conference on Image Processing, 2003

On multivariate estimation by thresholding.

Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Wavelet denoising by recursive cycle spinning.

Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran

Proceedings of the 2002 International Conference on Image Processing, 2002