Capacity-achieving Sparse Regression Codes via approximate message passing decoding. - Cynthia Rush; Adam Greig; Ramji Venkataramanan (ISIT, 2015)

Finite-sample analysis of Approximate Message Passing. - Cynthia Rush; Ramji Venkataramanan (ISIT, 2016)

Conditional approximate message passing with side information. - Dror Baron; Anna Ma; Deanna Needell; Cynthia Rush; Tina Woolf (ACSSC, 2017)

Analysis of approximate message passing with a class of non-separable denoisers. - Yanting Ma; Cynthia Rush; Dror Baron (ISIT, 2017)

The error exponent of sparse regression codes with AMP decoding. - Cynthia Rush; Ramji Venkataramanan (ISIT, 2017)

Capacity-Achieving Sparse Superposition Codes via Approximate Message Passing Decoding. - Cynthia Rush; Adam Greig; Ramji Venkataramanan (IEEE Trans. Inf. Theory, 2017)

Spatially Coupled Sparse Regression Codes: Design and State Evolution Analysis. - Kuan Hsieh; Cynthia Rush; Ramji Venkataramanan (ISIT, 2018)

Capacity-achieving sparse regression codes via spatial coupling. - Cynthia Rush; Kuan Hsieh; Ramji Venkataramanan (ITW, 2018)

Finite Sample Analysis of Approximate Message Passing Algorithms. - Cynthia Rush; Ramji Venkataramanan (IEEE Trans. Inf. Theory, 2018)

An Analysis of State Evolution for Approximate Message Passing with Side Information. - Hangjin Liu; Cynthia Rush; Dror Baron (ISIT, 2019)

Spatially Coupled Sparse Regression Codes with Sliding Window AMP Decoding. - Cynthia Rush; Kuan Hsieh; Ramji Venkataramanan (ITW, 2019)

Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors. - Yanting Ma; Cynthia Rush; Dror Baron (IEEE Trans. Inf. Theory, 2019)

The Error Probability of Sparse Superposition Codes With Approximate Message Passing Decoding. - Cynthia Rush; Ramji Venkataramanan (IEEE Trans. Inf. Theory, 2019)

An Approximate Message Passing Framework for Side Information. - Anna Ma; You Joe Zhou; Cynthia Rush; Dror Baron; Deanna Needell (IEEE Trans. Signal Process., 2019)

An Asymptotic Rate for the LASSO Loss. - Cynthia Rush (AISTATS, 2020)

On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing. - Vamsi K. Amalladinne; Asit Kumar Pradhan; Cynthia Rush; Jean-François Chamberland; Krishna R. Narayanan (ISIT, 2020)

Exponentially Fast Concentration of Vector Approximate Message Passing to its State Evolution. - Collin Cademartori; Cynthia Rush (ISIT, 2020)

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective. - Alex Dytso; Martina Cardone; Cynthia Rush (ITW, 2020)

All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation. - Jean Barbier; Nicolas Macris; Cynthia Rush (NeurIPS, 2020)

mmWave Channel Estimation via Approximate Message Passing with Side Information. - Dror Baron; Cynthia Rush; Yavuz Yapici (SPAWC, 2020)

Information Theoretic Approach to L-Estimators. - Alex Dytso; Martina Cardone; Cynthia Rush (ACSCC, 2021)

Near-Optimal Coding for Massive Multiple Access. - Kuan Hsieh; Cynthia Rush; Ramji Venkataramanan (ISIT, 2021)

The Most Informative Order Statistic and its Application to Image Denoising. - Alex Dytso; Martina Cardone; Cynthia Rush (CoRR, 2021)

Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit. - Zhiqi Bu; Jason M. Klusowski; Cynthia Rush; Weijie J. Su (CoRR, 2021)

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing. - Zhiqi Bu; Jason M. Klusowski; Cynthia Rush; Weijie J. Su (IEEE Trans. Inf. Theory, 2021)

Capacity-Achieving Spatially Coupled Sparse Superposition Codes With AMP Decoding. - Cynthia Rush; Kuan Hsieh; Ramji Venkataramanan (IEEE Trans. Inf. Theory, 2021)

Entropic CLT for Order Statistics. - Martina Cardone; Alex Dytso; Cynthia Rush (ISIT, 2022)

A Unifying Tutorial on Approximate Message Passing. - Oliver Y. Feng; Ramji Venkataramanan; Cynthia Rush; Richard J. Samworth (Found. Trends Mach. Learn., 2022)

On the Robustness to Misspecification of α-posteriors and Their Variational Approximations. - Marco Avella-Medina; José Luis Montiel Olea; Cynthia Rush; Amilcar Velez (J. Mach. Learn. Res., 2022)

Near-Optimal Coding for Many-User Multiple Access Channels. - Kuan Hsieh; Cynthia Rush; Ramji Venkataramanan (IEEE J. Sel. Areas Inf. Theory, 2022)

Unsourced Random Access With Coded Compressed Sensing: Integrating AMP and Belief Propagation. - Vamsi K. Amalladinne; Asit Kumar Pradhan; Cynthia Rush; Jean-François Chamberland; Krishna R. Narayanan (IEEE Trans. Inf. Theory, 2022)

Asymptotics for power posterior mean estimation. - Ruchira Ray; Marco Avella-Medina; Cynthia Rush (Allerton, 2023)

When is Mimo Massive in Radar? - Jaimin Shah; Martina Cardone; Alex Dytso; Cynthia Rush (ICASSP, 2023)

Is It Easier to Count Communities Than Find Them? - Cynthia Rush; Fiona Skerman; Alexander S. Wein; Dana Yang (ITCS, 2023)

Entropic Central Limit Theorem for Order Statistics. - Martina Cardone; Alex Dytso; Cynthia Rush (IEEE Trans. Inf. Theory, 2023)

Rigorous State Evolution Analysis for Approximate Message Passing With Side Information. - Hangjin Liu; Cynthia Rush; Dror Baron (IEEE Trans. Inf. Theory, 2023)

A Non-Asymptotic Analysis of Generalized Vector Approximate Message Passing Algorithms With Rotationally Invariant Designs. - Collin Cademartori; Cynthia Rush (IEEE Trans. Inf. Theory, 2024)

Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator. - Jaimin Shah; Martina Cardone; Cynthia Rush; Alex Dytso (ICASSP, 2025)