Wavelet denoising by recursive cycle spinning. - Alyson K. Fletcher; Vivek K. Goyal; Kannan Ramchandran (ICIP (2), 2002)

On multivariate estimation by thresholding. - Alyson K. Fletcher; Vivek K. Goyal; Kannan Ramchandran (ICIP (1), 2003)

Estimation error bounds for denoising by sparse approximation. - Alyson K. Fletcher; Kannan Ramchandran (ICIP (1), 2003)

Optimized filtering and reconstruction in predictive quantization with losses. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal; Kannan Ramchandran (ICIP, 2004)

Estimation from lossy sensor data: jump linear modeling and Kalman filtering. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (IPSN, 2004)

Robust predictive quantization: a new analysis and optimization framework. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal; Kannan Ramchandran (ISIT, 2004)

Analysis of denoising by sparse approximation with random frame asymptotics. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal; Kannan Ramchandran (ISIT, 2005)

Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal; Kannan Ramchandran (CISS, 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)

On the Rate-Distortion Performance of Compressed Sensing. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (ICASSP (3), 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 subspace structure in source and channel coding. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (ISIT, 2008)

Resolution Limits of Sparse Coding in High Dimensions. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (NIPS, 2008)

Compressive Sampling and Lossy Compression. - Vivek K. Goyal; Alyson K. Fletcher; Sundeep Rangan (IEEE Signal Process. Mag., 2008)

A sparsity detection framework for on-off random access channels. - Alyson K. Fletcher; Vivek K. Goyal; Sundeep Rangan (ISIT, 2009)

Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis. - Alyson K. Fletcher; Sundeep Rangan (NIPS, 2009)

Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal (NIPS, 2009)

On-Off Random Access Channels: A Compressed Sensing Framework - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (CoRR, 2009)

Necessary and sufficient conditions for sparsity pattern recovery. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (IEEE Trans. Inf. Theory, 2009)

Extension of replica analysis to MAP estimation with applications to compressed sensing. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal (ISIT, 2010)

Neural Reconstruction with Approximate Message Passing (NeuRAMP). - Alyson K. Fletcher; Sundeep Rangan; Lav R. Varshney; Aniruddha Bhargava (NIPS, 2011)

Hybrid Approximate Message Passing with Applications to Structured Sparsity - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Philip Schniter (CoRR, 2011)

Iterative estimation of constrained rank-one matrices in noise. - Sundeep Rangan; Alyson K. Fletcher (ISIT, 2012)

Hybrid generalized approximate message passing with applications to structured sparsity. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Philip Schniter (ISIT, 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)

Orthogonal Matching Pursuit: A Brownian Motion Analysis. - Alyson K. Fletcher; Sundeep Rangan (IEEE Trans. Signal Process., 2012)

Ranked Sparse Signal Support Detection. - Alyson K. Fletcher; Sundeep Rangan; Vivek K. Goyal (IEEE Trans. Signal Process., 2012)

On the convergence of approximate message passing with arbitrary matrices. - Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (ISIT, 2014)

Scalable Inference for Neuronal Connectivity from Calcium Imaging. - Alyson K. Fletcher; Sundeep Rangan (NIPS, 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 of neural dynamical systems. - Alyson K. Fletcher (Allerton, 2015)

Neural mass spatio-temporal modeling from high-density electrode array recordings. - Alyson K. Fletcher; Jon Viventi; Sundeep Rangan (ITA, 2015)

Vector approximate message passing for the generalized linear model. - Philip Schniter; Sundeep Rangan; Alyson K. Fletcher (ACSSC, 2016)

Expectation consistent approximate inference: Generalizations and convergence. - Alyson K. Fletcher; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter (ISIT, 2016)

Learning and Free Energy in Expectation Consistent Approximate Inference. - Alyson K. Fletcher (CoRR, 2016)

Denoising based Vector Approximate Message Passing. - Philip Schniter; Sundeep Rangan; Alyson K. Fletcher (CoRR, 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)

Learning and free energies for vector approximate message passing. - Alyson K. Fletcher; Philip Schniter (ICASSP, 2017)

Estimation and learning of Dynamic Nonlinear Networks (DyNNets). - Mojtaba Sahraee-Ardakan; Alyson K. Fletcher (ICASSP, 2017)

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. - Alyson K. Fletcher; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter (NIPS, 2017)

Inference in Deep Networks in High Dimensions. - Alyson K. Fletcher; Sundeep Rangan (CoRR, 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)

Hybrid Approximate Message Passing. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Evan Byrne; Philip Schniter (IEEE Trans. Signal Process., 2017)

Inference in Deep Networks in High Dimensions. - Alyson K. Fletcher; Sundeep Rangan; Philip Schniter (ISIT, 2018)

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. - Alyson K. Fletcher; Parthe Pandit; Sundeep Rangan; Subrata Sarkar; Philip Schniter (NeurIPS, 2018)

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. - Alyson K. Fletcher; Sundeep Rangan; Subrata Sarkar; Philip Schniter (CoRR, 2018)

Sparse Multivariate Bernoulli Processes in High Dimensions. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Arash A. Amini; Sundeep Rangan; Alyson K. Fletcher (AISTATS, 2019)

Asymptotics of MAP Inference in Deep Networks. - Parthe Pandit; Mojtaba Sahraee; Sundeep Rangan; Alyson K. Fletcher (ISIT, 2019)

Input-Output Equivalence of Unitary and Contractive RNNs. - Melikasadat Emami; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Alyson K. Fletcher (NeurIPS, 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)

Vector Approximate Message Passing. - Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (IEEE Trans. Inf. Theory, 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)

Bilinear Recovery Using Adaptive Vector-AMP. - Subrata Sarkar; Alyson K. Fletcher; Sundeep Rangan; Philip Schniter (IEEE Trans. Signal Process., 2019)

Generalization Error of Generalized Linear Models in High Dimensions. - Melikasadat Emami; Mojtaba Sahraee-Ardakan; Parthe Pandit; Sundeep Rangan; Alyson K. Fletcher (ICML, 2020)

Matrix Inference and Estimation in Multi-Layer Models. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (NeurIPS, 2020)

Inference in Multi-Layer Networks with Matrix-Valued Unknowns. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (CoRR, 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)

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)

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)

Implicit Bias of Linear RNNs. - Melikasadat Emami; Mojtaba Sahraee-Ardakan; Parthe Pandit; Sundeep Rangan; Alyson K. Fletcher (ICML, 2021)

Asymptotics of Ridge Regression in Convolutional Models. - Mojtaba Sahraee-Ardakan; Tung Mai; Anup B. Rao; Ryan A. Rossi; Sundeep Rangan; Alyson K. Fletcher (ICML, 2021)

Instability and Local Minima in GAN Training with Kernel Discriminators. - Evan Becker; Parthe Pandit; Sundeep Rangan; Alyson K. Fletcher (NeurIPS, 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)

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. - Evan Becker; Parthe Pandit; Sundeep Rangan; Alyson K. Fletcher (ACSSC, 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 004; Melika Emami; Alyson K. Fletcher; Sundeep Rangan; Seyed Farokh Atashzar (CoRR, 2023)

Estimation of embedding vectors in high dimensions. - Golara Ahmadi Azar; Melika Emami; Alyson K. Fletcher; Sundeep Rangan (CoRR, 2023)

Learning Embedding Representations in High Dimensions. - Golara Ahmadi Azar; Melika Emami; Alyson K. Fletcher; Sundeep Rangan (CISS, 2024)

ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. - Qin Hu 004; Golara Ahmadi Azar; Alyson K. Fletcher; Sundeep Rangan; Seyed Farokh Atashzar (IEEE J. Sel. Top. Signal Process., 2024)

GAN Training With Kernel Discriminators: What Parameters Control Convergence Rates? - Evan Becker; Parthe Pandit; Sundeep Rangan; Alyson K. Fletcher (IEEE Trans. Signal Process., 2025)