Alyson K. Fletcher

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 50

Top Topics

Message Passing

Top Venues

IEEE Trans. Inf. Theory

Publications

Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan
Learning Embedding Representations in High Dimensions. CISS (2024)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC (2023)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR (2023)
Golara Ahmadi Azar, Melikasadat Emami, Alyson K. Fletcher, Sundeep Rangan
Estimation of embedding vectors in high dimensions. CoRR (2023)
Golara Ahmadi Azar, Qin Hu, Melikasadat Emami, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning. CoRR (2023)
Qin Hu, Golara Ahmadi Azar, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar
ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. CoRR (2023)
Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions. CoRR (2022)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS (2022)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR (2022)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. ICML (2021)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. CoRR (2021)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Implicit Bias of Linear RNNs. ICML (2021)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Implicit Bias of Linear RNNs. CoRR (2021)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generalization Error of Generalized Linear Models in High Dimensions. CoRR (2020)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi
Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex. CoRR (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Matrix Inference and Estimation in Multi-Layer Models. NeurIPS (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR (2020)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generalization Error of Generalized Linear Models in High Dimensions. ICML (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS (2019)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher
Input-Output Equivalence of Unitary and Contractive RNNs. NeurIPS (2019)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher, Subrata Sarkar
On the Convergence of Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 65 (9) (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference with Deep Generative Priors in High Dimensions. CoRR (2019)
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Bilinear Recovery Using Adaptive Vector-AMP. IEEE Trans. Signal Process. 67 (13) (2019)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher
Input-Output Equivalence of Unitary and Contractive RNNs. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of MAP Inference in Deep Networks. CoRR (2019)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector Approximate Message Passing. IEEE Trans. Inf. Theory 65 (10) (2019)
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of MAP Inference in Deep Networks. ISIT (2019)
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Bilinear Recovery using Adaptive Vector-AMP. CoRR (2018)
Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS (2018)
Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. CoRR (2018)
Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Inference in Deep Networks in High Dimensions. ISIT (2018)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector approximate message passing. ISIT (2017)
Mojtaba Sahraee-Ardakan, Alyson K. Fletcher
Estimation and learning of Dynamic Nonlinear Networks (DyNNets). ICASSP (2017)
Alyson K. Fletcher, Sundeep Rangan
Inference in Deep Networks in High Dimensions. CoRR (2017)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. NIPS (2017)
Alyson K. Fletcher, Philip Schniter
Learning and free energies for vector approximate message passing. ICASSP (2017)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Evan Byrne, Philip Schniter
Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 65 (17) (2017)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. IEEE Trans. Inf. Theory 63 (1) (2017)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Philip Schniter, Sundeep Rangan
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. CoRR (2017)
Alyson K. Fletcher
Learning and Free Energy in Expectation Consistent Approximate Inference. CoRR (2016)
Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 62 (12) (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Vector approximate message passing for the generalized linear model. ACSSC (2016)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector Approximate Message Passing. CoRR (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Denoising based Vector Approximate Message Passing. CoRR (2016)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation consistent approximate inference: Generalizations and convergence. ISIT (2016)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation Consistent Approximate Inference: Generalizations and Convergence. CoRR (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Vector Approximate Message Passing for the Generalized Linear Model. CoRR (2016)
Alyson K. Fletcher, Jon Viventi, Sundeep Rangan
Neural mass spatio-temporal modeling from high-density electrode array recordings. ITA (2015)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
Inference for Generalized Linear Models via alternating directions and Bethe Free Energy minimization. ISIT (2015)
Alyson K. Fletcher
Scalable inference of neural dynamical systems. Allerton (2015)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek Kamilov
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. CoRR (2015)
Alyson K. Fletcher, Sundeep Rangan
Scalable Inference for Neuronal Connectivity from Calcium Imaging. NIPS (2014)
Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning. IEEE Trans. Inf. Theory 60 (5) (2014)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
On the Convergence of Approximate Message Passing with Arbitrary Matrices. CoRR (2014)
Alyson K. Fletcher, Sundeep Rangan
Scalable Inference for Neuronal Connectivity from Calcium Imaging. CoRR (2014)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
On the convergence of approximate message passing with arbitrary matrices. ISIT (2014)
Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed points of generalized approximate message passing with arbitrary matrices. ISIT (2013)
Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices CoRR (2013)
Alyson K. Fletcher, Sundeep Rangan
Orthogonal Matching Pursuit: A Brownian Motion Analysis. IEEE Trans. Signal Process. 60 (3) (2012)
Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning. NIPS (2012)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter
Hybrid generalized approximate message passing with applications to structured sparsity. ISIT (2012)
Sundeep Rangan, Alyson K. Fletcher
Iterative estimation of constrained rank-one matrices in noise. ISIT (2012)
Sundeep Rangan, Alyson K. Fletcher
Iterative Estimation of Constrained Rank-One Matrices in Noise CoRR (2012)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing. IEEE Trans. Inf. Theory 58 (3) (2012)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Ranked Sparse Signal Support Detection. IEEE Trans. Signal Process. 60 (11) (2012)
Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning CoRR (2012)
Alyson K. Fletcher, Sundeep Rangan
Orthogonal Matching Pursuit: A Brownian Motion Analysis CoRR (2011)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Ranked Sparse Signal Support Detection CoRR (2011)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava
Neural Reconstruction with Approximate Message Passing (NeuRAMP). NIPS (2011)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter
Hybrid Approximate Message Passing with Applications to Structured Sparsity CoRR (2011)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Extension of replica analysis to MAP estimation with applications to compressed sensing. ISIT (2010)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing CoRR (2009)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
On-Off Random Access Channels: A Compressed Sensing Framework CoRR (2009)
Alyson K. Fletcher, Sundeep Rangan
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis. NIPS (2009)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing. NIPS (2009)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Necessary and sufficient conditions for sparsity pattern recovery. IEEE Trans. Inf. Theory 55 (12) (2009)
Alyson K. Fletcher, Vivek K. Goyal, Sundeep Rangan
A sparsity detection framework for on-off random access channels. ISIT (2009)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Necessary and Sufficient Conditions on Sparsity Pattern Recovery CoRR (2008)
Vivek K. Goyal, Alyson K. Fletcher, Sundeep Rangan
Compressive Sampling and Lossy Compression. IEEE Signal Process. Mag. 25 (2) (2008)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Resolution Limits of Sparse Coding in High Dimensions. NIPS (2008)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
On subspace structure in source and channel coding. ISIT (2008)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
On the Rate-Distortion Performance of Compressed Sensing. ICASSP (3) (2007)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Robust Predictive Quantization: Analysis and Design Via Convex Optimization. J. Sel. Topics Signal Processing 1 (4) (2007)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory. EURASIP J. Adv. Signal Process. 2006 (2006)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis. CISS (2006)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Analysis of denoising by sparse approximation with random frame asymptotics. ISIT (2005)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Robust predictive quantization: a new analysis and optimization framework. ISIT (2004)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
Optimized filtering and reconstruction in predictive quantization with losses. ICIP (2004)
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Estimation from lossy sensor data: jump linear modeling and Kalman filtering. IPSN (2004)
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran
On multivariate estimation by thresholding. ICIP (1) (2003)
Alyson K. Fletcher, Kannan Ramchandran
Estimation error bounds for denoising by sparse approximation. ICIP (1) (2003)
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran
Wavelet denoising by recursive cycle spinning. ICIP (2) (2002)