Alyson K. Fletcher

97 papers A* 7A 1B 15Misc 7Journal 54Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GAN Training With Kernel Discriminators: What Parameters Control Convergence Rates? IEEE Trans. Signal Process. Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2024	Misc	`conf`	Learning Embedding Representations in High Dimensions. CISS Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan
2024	J	`jnl`	ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. IEEE J. Sel. Top. Signal Process. Qin Hu, Golara Ahmadi Azar, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar
2023	J	`jnl`	A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning. CoRR Golara Ahmadi Azar, Qin Hu, Melika Emami, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar
2023	J	`jnl`	Estimation of embedding vectors in high dimensions. CoRR Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan
2023	Misc	`conf`	Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2023	J	`jnl`	Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2023	J	`jnl`	ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. CoRR Qin Hu, Golara Ahmadi Azar, Alyson K. Fletcher, Sundeep Rangan, Seyed Farokh Atashzar
2022	A*	`conf`	Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2022	J	`jnl`	Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2022	J	`jnl`	Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions. CoRR Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2021	A*	`conf`	Asymptotics of Ridge Regression in Convolutional Models. ICML Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
2021	J	`jnl`	Asymptotics of Ridge Regression in Convolutional Models. CoRR Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
2021	A*	`conf`	Implicit Bias of Linear RNNs. ICML Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2021	J	`jnl`	Implicit Bias of Linear RNNs. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	A*	`conf`	Generalization Error of Generalized Linear Models in High Dimensions. ICML Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Generalization Error of Generalized Linear Models in High Dimensions. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2020	J	`jnl`	Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2020	J	`jnl`	Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi
2020	A*	`conf`	Matrix Inference and Estimation in Multi-Layer Models. NeurIPS Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2019	B	`conf`	Asymptotics of MAP Inference in Deep Networks. ISIT Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Asymptotics of MAP Inference in Deep Networks. CoRR Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Bilinear Recovery Using Adaptive Vector-AMP. IEEE Trans. Signal Process. Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
2019	J	`jnl`	High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Inference with Deep Generative Priors in High Dimensions. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2019	A*	`conf`	Input-Output Equivalence of Unitary and Contractive RNNs. NeurIPS Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Input-Output Equivalence of Unitary and Contractive RNNs. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	On the Convergence of Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory Sundeep Rangan, Philip Schniter, Alyson K. Fletcher, Subrata Sarkar
2019	A	`conf`	Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Vector Approximate Message Passing. IEEE Trans. Inf. Theory Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2018	J	`jnl`	Bilinear Recovery using Adaptive Vector-AMP. CoRR Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
2018	B	`conf`	Inference in Deep Networks in High Dimensions. ISIT Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
2018	A*	`conf`	Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter
2018	J	`jnl`	Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. CoRR Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter
2017	Misc	`conf`	Estimation and learning of Dynamic Nonlinear Networks (DyNNets). ICASSP Mojtaba Sahraee-Ardakan, Alyson K. Fletcher
2017	J	`jnl`	Hybrid Approximate Message Passing. IEEE Trans. Signal Process. Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Evan Byrne, Philip Schniter
2017	J	`jnl`	Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. IEEE Trans. Inf. Theory Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
2017	J	`jnl`	Inference in Deep Networks in High Dimensions. CoRR Alyson K. Fletcher, Sundeep Rangan
2017	Misc	`conf`	Learning and free energies for vector approximate message passing. ICASSP Alyson K. Fletcher, Philip Schniter
2017	—	`conf`	Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. NIPS Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
2017	J	`jnl`	Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. CoRR Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Philip Schniter, Sundeep Rangan
2017	B	`conf`	Vector approximate message passing. ISIT Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2016	J	`jnl`	Denoising based Vector Approximate Message Passing. CoRR Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
2016	J	`jnl`	Expectation Consistent Approximate Inference: Generalizations and Convergence. CoRR Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
2016	B	`conf`	Expectation consistent approximate inference: Generalizations and convergence. ISIT Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
2016	J	`jnl`	Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2016	J	`jnl`	Learning and Free Energy in Expectation Consistent Approximate Inference. CoRR Alyson K. Fletcher
2016	J	`jnl`	Vector Approximate Message Passing for the Generalized Linear Model. CoRR Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
2016	J	`jnl`	Vector Approximate Message Passing. CoRR Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2016	Misc	`conf`	Vector approximate message passing for the generalized linear model. ACSSC Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
2015	J	`jnl`	Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. CoRR Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek Kamilov
2015	B	`conf`	Inference for Generalized Linear Models via alternating directions and Bethe Free Energy minimization. ISIT Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
2015	Misc	`conf`	Neural mass spatio-temporal modeling from high-density electrode array recordings. ITA Alyson K. Fletcher, Jon Viventi, Sundeep Rangan
2015	—	`conf`	Scalable inference of neural dynamical systems. Allerton Alyson K. Fletcher
2014	J	`jnl`	Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning. IEEE Trans. Inf. Theory Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
2014	J	`jnl`	On the Convergence of Approximate Message Passing with Arbitrary Matrices. CoRR Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2014	B	`conf`	On the convergence of approximate message passing with arbitrary matrices. ISIT Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2014	—	`conf`	Scalable Inference for Neuronal Connectivity from Calcium Imaging. NIPS Alyson K. Fletcher, Sundeep Rangan
2014	J	`jnl`	Scalable Inference for Neuronal Connectivity from Calcium Imaging. CoRR Alyson K. Fletcher, Sundeep Rangan
2013	J	`jnl`	Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices CoRR Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2013	B	`conf`	Fixed points of generalized approximate message passing with arbitrary matrices. ISIT Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2012	J	`jnl`	Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning CoRR Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
2012	—	`conf`	Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning. NIPS Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser
2012	J	`jnl`	Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing. IEEE Trans. Inf. Theory Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
2012	B	`conf`	Hybrid generalized approximate message passing with applications to structured sparsity. ISIT Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter
2012	J	`jnl`	Iterative Estimation of Constrained Rank-One Matrices in Noise CoRR Sundeep Rangan, Alyson K. Fletcher
2012	B	`conf`	Iterative estimation of constrained rank-one matrices in noise. ISIT Sundeep Rangan, Alyson K. Fletcher
2012	J	`jnl`	Orthogonal Matching Pursuit: A Brownian Motion Analysis. IEEE Trans. Signal Process. Alyson K. Fletcher, Sundeep Rangan
2012	J	`jnl`	Ranked Sparse Signal Support Detection. IEEE Trans. Signal Process. Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2011	J	`jnl`	Hybrid Approximate Message Passing with Applications to Structured Sparsity CoRR Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter
2011	—	`conf`	Neural Reconstruction with Approximate Message Passing (NeuRAMP). NIPS Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava
2011	J	`jnl`	Orthogonal Matching Pursuit: A Brownian Motion Analysis CoRR Alyson K. Fletcher, Sundeep Rangan
2011	J	`jnl`	Ranked Sparse Signal Support Detection CoRR Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2010	B	`conf`	Extension of replica analysis to MAP estimation with applications to compressed sensing. ISIT Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
2009	B	`conf`	A sparsity detection framework for on-off random access channels. ISIT Alyson K. Fletcher, Vivek K. Goyal, Sundeep Rangan
2009	J	`jnl`	Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing CoRR Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
2009	—	`conf`	Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing. NIPS Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
2009	J	`jnl`	Necessary and sufficient conditions for sparsity pattern recovery. IEEE Trans. Inf. Theory Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2009	J	`jnl`	On-Off Random Access Channels: A Compressed Sensing Framework CoRR Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2009	—	`conf`	Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis. NIPS Alyson K. Fletcher, Sundeep Rangan
2008	J	`jnl`	Compressive Sampling and Lossy Compression. IEEE Signal Process. Mag. Vivek K. Goyal, Alyson K. Fletcher, Sundeep Rangan
2008	J	`jnl`	Necessary and Sufficient Conditions on Sparsity Pattern Recovery CoRR Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2008	B	`conf`	On subspace structure in source and channel coding. ISIT Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2008	—	`conf`	Resolution Limits of Sparse Coding in High Dimensions. NIPS Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2007	—	`conf`	On the Rate-Distortion Performance of Compressed Sensing. ICASSP (3) Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2007	J	`jnl`	Robust Predictive Quantization: Analysis and Design Via Convex Optimization. J. Sel. Topics Signal Processing Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2006	Misc	`conf`	Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis. CISS Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2006	J	`jnl`	Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory. EURASIP J. Adv. Signal Process. Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2005	B	`conf`	Analysis of denoising by sparse approximation with random frame asymptotics. ISIT Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2004	—	`conf`	Estimation from lossy sensor data: jump linear modeling and Kalman filtering. IPSN Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
2004	B	`conf`	Optimized filtering and reconstruction in predictive quantization with losses. ICIP Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2004	B	`conf`	Robust predictive quantization: a new analysis and optimization framework. ISIT Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran
2003	—	`conf`	Estimation error bounds for denoising by sparse approximation. ICIP (1) Alyson K. Fletcher, Kannan Ramchandran
2003	—	`conf`	On multivariate estimation by thresholding. ICIP (1) Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran
2002	—	`conf`	Wavelet denoising by recursive cycle spinning. ICIP (2) Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran