Vardan Papyan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Dictionary Learning

Theoretical Guarantees

Top Venues

IEEE Trans. Signal Process.

Publications

Quinn Fisher, Haoming Meng, Vardan Papyan
Pushing Boundaries: Mixup's Influence on Neural Collapse. CoRR (2024)
Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan
Transformer Alignment in Large Language Models. CoRR (2024)
Stephen Zhang, Vardan Papyan
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. CoRR (2024)
David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot
A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses. CoRR (2024)
Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan
Pushing Boundaries: Mixup's Influence on Neural Collapse. ICLR (2024)
Robert Wu, Vardan Papyan
Linguistic Collapse: Neural Collapse in (Large) Language Models. CoRR (2024)
Jianing Li, Vardan Papyan
Residual Alignment: Uncovering the Mechanisms of Residual Networks. CoRR (2024)
David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? CoRR (2023)
Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. CoRR (2023)
Jianing Li, Vardan Papyan
Residual Alignment: Uncovering the Mechanisms of Residual Networks. NeurIPS (2023)
X. Y. Han, Vardan Papyan, David L. Donoho
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR (2022)
X. Y. Han, Vardan Papyan, David L. Donoho
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR (2021)
Vardan Papyan
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra. CoRR (2020)
Vardan Papyan, X. Y. Han, David L. Donoho
Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR (2020)
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR (2019)
Vardan Papyan
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. ICML (2019)
Vardan Papyan
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. CoRR (2019)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Trans. Signal Process. 66 (15) (2018)
Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS (2018)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Projecting on to the Multi-Layer Convolutional Sparse Coding Model. ICASSP (2018)
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
Neural Proximal Gradient Descent for Compressive Imaging. CoRR (2018)
Vardan Papyan
The Full Spectrum of Deep Net Hessians At Scale: Dynamics with Sample Size. CoRR (2018)
Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. IEEE Signal Process. Mag. 35 (4) (2018)
Vardan Papyan, Ronen Talmon
Multimodal latent variable analysis. Signal Process. 142 (2018)
Vardan Papyan, Jeremias Sulam, Michael Elad
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. CoRR (2017)
Vardan Papyan, Jeremias Sulam, Michael Elad
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. IEEE Trans. Signal Process. 65 (21) (2017)
Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR (2017)
Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam
Convolutional Dictionary Learning via Local Processing. ICCV (2017)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. CoRR (2017)
Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
Convolutional Dictionary Learning via Local Processing. CoRR (2017)
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. J. Mach. Learn. Res. 18 (2017)
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. CoRR (2016)
Vardan Papyan, Jeremias Sulam, Michael Elad
Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding. CoRR (2016)
Vardan Papyan, Jeremias Sulam, Michael Elad
Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding. CoRR (2016)
Vardan Papyan, Ronen Talmon
Multimodal Latent Variable Analysis. CoRR (2016)
Vardan Papyan, Michael Elad
Multi-Scale Patch-Based Image Restoration. IEEE Trans. Image Process. 25 (1) (2016)