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Alyson K. Fletcher
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2020 – today
- 2024
- [j17]Qin Hu
, Golara Ahmadi Azar
ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. IEEE J. Sel. Top. Signal Process. 18(3): 419-430 (2024) - [c43]Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan:
Learning Embedding Representations in High Dimensions. CISS 2024: 1-6 - 2023
- [c42]Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC 2023: 892-896 - [i36]Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR abs/2305.08277 (2023) - [i35]Qin Hu
ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding. CoRR abs/2309.12602 (2023) - [i34]Golara Ahmadi Azar, Qin Hu
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning. CoRR abs/2310.03752 (2023) - [i33]Golara Ahmadi Azar, Melika Emami, Alyson K. Fletcher, Sundeep Rangan:
Estimation of embedding vectors in high dimensions. CoRR abs/2312.07802 (2023) - 2022
- [c41]Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS 2022 - [i32]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 abs/2201.08082 (2022) - [i31]Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR abs/2208.09938 (2022) - 2021
- [c40]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Implicit Bias of Linear RNNs. ICML 2021: 2982-2992 - [c39]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: 9265-9275 - [i30]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Implicit Bias of Linear RNNs. CoRR abs/2101.07833 (2021) - [i29]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. CoRR abs/2103.04557 (2021) - 2020
- [j16]Parthe Pandit
Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory 1(1): 336-347 (2020) - [j15]Parthe Pandit
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1(3): 884-896 (2020) - [c38]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Generalization Error of Generalized Linear Models in High Dimensions. ICML 2020: 2892-2901 - [c37]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Matrix Inference and Estimation in Multi-Layer Models. NeurIPS 2020 - [i28]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR abs/2001.09396 (2020) - [i27]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Generalization Error of Generalized Linear Models in High Dimensions. CoRR abs/2005.00180 (2020) - [i26]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 abs/2005.05053 (2020)
2010 – 2019
- 2019
- [j14]Sundeep Rangan
On the Convergence of Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 65(9): 5339-5351 (2019) - [j13]Sundeep Rangan
Vector Approximate Message Passing. IEEE Trans. Inf. Theory 65(10): 6664-6684 (2019) - [j12]Subrata Sarkar
Bilinear Recovery Using Adaptive Vector-AMP. IEEE Trans. Signal Process. 67(13): 3383-3396 (2019) - [c36]Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS 2019: 457-466 - [c35]Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of MAP Inference in Deep Networks. ISIT 2019: 842-846 - [c34]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher:
Input-Output Equivalence of Unitary and Contractive RNNs. NeurIPS 2019: 15342-15352 - [i25]Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of MAP Inference in Deep Networks. CoRR abs/1903.01293 (2019) - [i24]Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR abs/1903.09631 (2019) - [i23]Melikasadat Emami, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Alyson K. Fletcher:
Input-Output Equivalence of Unitary and Contractive RNNs. CoRR abs/1910.13672 (2019) - [i22]Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference with Deep Generative Priors in High Dimensions. CoRR abs/1911.03409 (2019) - 2018
- [c33]Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Inference in Deep Networks in High Dimensions. ISIT 2018: 1884-1888 - [c32]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: 7451-7460 - [i21]Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter:
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. CoRR abs/1806.10466 (2018) - [i20]Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter:
Bilinear Recovery using Adaptive Vector-AMP. CoRR abs/1809.00024 (2018) - 2017
- [j11]Sundeep Rangan, Alyson K. Fletcher, Philip Schniter
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. IEEE Trans. Inf. Theory 63(1): 676-697 (2017) - [j10]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 65(17): 4577-4592 (2017) - [c31]Mojtaba Sahraee-Ardakan, Alyson K. Fletcher:
Estimation and learning of Dynamic Nonlinear Networks (DyNNets). ICASSP 2017: 2856-2860 - [c30]Alyson K. Fletcher, Philip Schniter
Learning and free energies for vector approximate message passing. ICASSP 2017: 4247-4251 - [c29]Sundeep Rangan, Philip Schniter
Vector approximate message passing. ISIT 2017: 1588-1592 - [c28]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter:
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. NIPS 2017: 2545-2554 - [i19]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Philip Schniter, Sundeep Rangan:
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. CoRR abs/1706.06054 (2017) - [i18]Alyson K. Fletcher, Sundeep Rangan:
Inference in Deep Networks in High Dimensions. CoRR abs/1706.06549 (2017) - 2016
- [j9]Sundeep Rangan, Philip Schniter
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 62(12): 7464-7474 (2016) - [c27]Philip Schniter
Vector approximate message passing for the generalized linear model. ACSSC 2016: 1525-1529 - [c26]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation consistent approximate inference: Generalizations and convergence. ISIT 2016: 190-194 - [i17]Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter:
Expectation Consistent Approximate Inference: Generalizations and Convergence. CoRR abs/1602.07795 (2016) - [i16]Alyson K. Fletcher:
Learning and Free Energy in Expectation Consistent Approximate Inference. CoRR abs/1602.08207 (2016) - [i15]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Vector Approximate Message Passing. CoRR abs/1610.03082 (2016) - [i14]Philip Schniter, Sundeep Rangan, Alyson K. Fletcher:
Denoising based Vector Approximate Message Passing. CoRR abs/1611.01376 (2016) - [i13]Philip Schniter, Sundeep Rangan, Alyson K. Fletcher:
Vector Approximate Message Passing for the Generalized Linear Model. CoRR abs/1612.01186 (2016) - 2015
- [c25]Alyson K. Fletcher:
Scalable inference of neural dynamical systems. Allerton 2015: 1466-1469 - [c24]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: 1640-1644 - [c23]Alyson K. Fletcher, Jon Viventi, Sundeep Rangan:
Neural mass spatio-temporal modeling from high-density electrode array recordings. ITA 2015: 319-321 - [i12]Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek Kamilov:
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. CoRR abs/1501.01797 (2015) - 2014
- [j8]Ulugbek Kamilov
Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning. IEEE Trans. Inf. Theory 60(5): 2969-2985 (2014) - [c22]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
On the convergence of approximate message passing with arbitrary matrices. ISIT 2014: 236-240 - [c21]Alyson K. Fletcher, Sundeep Rangan:
Scalable Inference for Neuronal Connectivity from Calcium Imaging. NIPS 2014: 2843-2851 - [i11]Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
On the Convergence of Approximate Message Passing with Arbitrary Matrices. CoRR abs/1402.3210 (2014) - [i10]Alyson K. Fletcher, Sundeep Rangan:
Scalable Inference for Neuronal Connectivity from Calcium Imaging. CoRR abs/1409.0289 (2014) - 2013
- [c20]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed points of generalized approximate message passing with arbitrary matrices. ISIT 2013: 664-668 - [i9]Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher:
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices. CoRR abs/1301.6295 (2013) - 2012
- [j7]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): 1902-1923 (2012) - [j6]Alyson K. Fletcher, Sundeep Rangan:
Orthogonal Matching Pursuit: A Brownian Motion Analysis. IEEE Trans. Signal Process. 60(3): 1010-1021 (2012) - [j5]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Ranked Sparse Signal Support Detection. IEEE Trans. Signal Process. 60(11): 5919-5931 (2012) - [c19]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Hybrid generalized approximate message passing with applications to structured sparsity. ISIT 2012: 1236-1240 - [c18]Sundeep Rangan, Alyson K. Fletcher:
Iterative estimation of constrained rank-one matrices in noise. ISIT 2012: 1246-1250 - [c17]Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser:
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning. NIPS 2012: 2447-2455 - [i8]Sundeep Rangan, Alyson K. Fletcher:
Iterative Estimation of Constrained Rank-One Matrices in Noise. CoRR abs/1202.2759 (2012) - [i7]Ulugbek Kamilov, Sundeep Rangan, Alyson K. Fletcher, Michael Unser:
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning. CoRR abs/1207.3859 (2012) - 2011
- [c16]Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava:
Neural Reconstruction with Approximate Message Passing (NeuRAMP). NIPS 2011: 2555-2563 - [i6]Alyson K. Fletcher, Sundeep Rangan:
Orthogonal Matching Pursuit: A Brownian Motion Analysis. CoRR abs/1105.5853 (2011) - [i5]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
Ranked Sparse Signal Support Detection. CoRR abs/1110.6188 (2011) - [i4]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Philip Schniter:
Hybrid Approximate Message Passing with Applications to Structured Sparsity. CoRR abs/1111.2581 (2011) - 2010
- [c15]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal
Extension of replica analysis to MAP estimation with applications to compressed sensing. ISIT 2010: 1543-1547
2000 – 2009
- 2009
- [j4]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Necessary and sufficient conditions for sparsity pattern recovery. IEEE Trans. Inf. Theory 55(12): 5758-5772 (2009) - [c14]Alyson K. Fletcher, Vivek K. Goyal
A sparsity detection framework for on-off random access channels. ISIT 2009: 169-173 - [c13]Alyson K. Fletcher, Sundeep Rangan:
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis. NIPS 2009: 540-548 - [c12]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal:
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing. NIPS 2009: 1545-1553 - [i3]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
On-Off Random Access Channels: A Compressed Sensing Framework. CoRR abs/0903.1022 (2009) - [i2]Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal:
Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing. CoRR abs/0906.3234 (2009) - 2008
- [j3]Vivek K. Goyal
Compressive Sampling and Lossy Compression. IEEE Signal Process. Mag. 25(2): 48-56 (2008) - [c11]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
On subspace structure in source and channel coding. ISIT 2008: 1982-1986 - [c10]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
Resolution Limits of Sparse Coding in High Dimensions. NIPS 2008: 449-456 - [i1]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
Necessary and Sufficient Conditions on Sparsity Pattern Recovery. CoRR abs/0804.1839 (2008) - 2007
- [j2]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Robust Predictive Quantization: Analysis and Design Via Convex Optimization. J. Sel. Topics Signal Processing 1(4): 618-632 (2007) - [c9]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
On the Rate-Distortion Performance of Compressed Sensing. ICASSP (3) 2007: 885-888 - 2006
- [j1]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory. EURASIP J. Adv. Signal Process. 2006 (2006) - [c8]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis. CISS 2006: 1302-1307 - 2005
- [c7]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal, Kannan Ramchandran:
Analysis of denoising by sparse approximation with random frame asymptotics. ISIT 2005: 1706-1710 - 2004
- [c6]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Optimized filtering and reconstruction in predictive quantization with losses. ICIP 2004: 3245-3248 - [c5]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
Estimation from lossy sensor data: jump linear modeling and Kalman filtering. IPSN 2004: 251-258 - [c4]Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Robust predictive quantization: a new analysis and optimization framework. ISIT 2004: 427 - 2003
- [c3]Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchandran:
On multivariate estimation by thresholding. ICIP (1) 2003: 61-64 - [c2]Alyson K. Fletcher, Kannan Ramchandran:
Estimation error bounds for denoising by sparse approximation. ICIP (1) 2003: 113-116 - 2002
- [c1]Alyson K. Fletcher, Vivek K. Goyal
Wavelet denoising by recursive cycle spinning. ICIP (2) 2002: 873-876
Coauthor Index
Melikasadat Emami
aka: Melika Emami
aka: Melika Emami
[j17] [c43] [c42] [i36] [i35] [i34] [i33] [c41] [i32] [i31] [c40] [c39] [i30] [i29] [j16] [j15] [c38] [c37] [i28] [i27] [i26] [j14] [j13] [j12] [c36] [c35] [c34] [i25] [i24] [i23] [i22] [c33] [c32] [i21] [i20] [j11] [j10] [c29] [c28] [i19] [i18] [j9] [c27] [c26] [i17] [i15] [i14] [i13] [c24] [c23] [i12] [j8] [c22] [c21] [i11] [i10] [c20] [i9] [j7] [j6] [j5] [c19] [c18] [c17] [i8] [i7] [c16] [i6] [i5] [i4] [c15] [j4] [c14] [c13] [c12] [i3] [i2] [j3] [c11] [c10] [i1] [j2] [c9] [j1] [c8] [c7] [c6] [c5] [c4]
Mojtaba Sahraee-Ardakan
aka: Mojtaba Sahraee
aka: Mojtaba Sahraee
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