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ORCIDVardan Papyan
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2020 – today
- 2025
[i25]Stephen Zhang, Mustafa Khan, Vardan Papyan:
Attention Sinks and Outlier Features: A 'Catch, Tag, and Release' Mechanism for Embeddings. CoRR abs/2502.00919 (2025)- 2024
- [c11]Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan:
Pushing Boundaries: Mixup's Influence on Neural Collapse. ICLR 2024 - [c10]Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel:
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. ICML 2024 - [c9]David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan:
Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches. ICML 2024 - [c8]Stephen Zhang, Vardan Papyan:
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. ICML 2024 - [c7]Robert Wu, Vardan Papyan:
Linguistic Collapse: Neural Collapse in (Large) Language Models. NeurIPS 2024 - [i24]Jianing Li, Vardan Papyan:
Residual Alignment: Uncovering the Mechanisms of Residual Networks. CoRR abs/2401.09018 (2024) - [i23]Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan:
Pushing Boundaries: Mixup's Influence on Neural Collapse. CoRR abs/2402.06171 (2024) - [i22]Robert Wu, Vardan Papyan:
Linguistic Collapse: Neural Collapse in (Large) Language Models. CoRR abs/2405.17767 (2024) - [i21]David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot:
A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses. CoRR abs/2407.02551 (2024) - [i20]Stephen Zhang, Vardan Papyan:
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. CoRR abs/2407.04075 (2024) - [i19]Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan:
Transformer Alignment in Large Language Models. CoRR abs/2407.07810 (2024) - [i18]Stephen Zhang, Vardan Papyan:
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition. CoRR abs/2409.13652 (2024) - 2023
- [c6]Jianing Li, Vardan Papyan:
Residual Alignment: Uncovering the Mechanisms of Residual Networks. NeurIPS 2023 - [i17]David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan:
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? CoRR abs/2307.10719 (2023) - [i16]Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel:
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. CoRR abs/2312.17463 (2023) - 2022
- [c5]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR 2022 - 2021
- [i15]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR abs/2106.02073 (2021) - 2020
- [i14]Vardan Papyan, X. Y. Han, David L. Donoho:
Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR abs/2008.08186 (2020) - [i13]Vardan Papyan:
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra. CoRR abs/2008.11865 (2020)
2010 – 2019
- 2019
- [c4]Vardan Papyan:
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. ICML 2019: 5012-5021 - [i12]Vardan Papyan:
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. CoRR abs/1901.08244 (2019) - [i11]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - 2018
- [j6]Vardan Papyan, Ronen Talmon:
Multimodal latent variable analysis. Signal Process. 142: 178-187 (2018) - [j5]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): 72-89 (2018) - [j4]Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad:
Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Trans. Signal Process. 66(15): 4090-4104 (2018) - [c3]Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad:
Projecting on to the Multi-Layer Convolutional Sparse Coding Model. ICASSP 2018: 6757-6761 - [c2]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: 9596-9606 - [i10]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - [i9]Vardan Papyan:
The Full Spectrum of Deep Net Hessians At Scale: Dynamics with Sample Size. CoRR abs/1811.07062 (2018) - 2017
- [b1]Vardan Papyan:
Global Versus Local Modeling of Signals. Technion - Israel Institute of Technology, Israel, 2017 - [j3]Vardan Papyan, Yaniv Romano, Michael Elad:
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. J. Mach. Learn. Res. 18: 83:1-83:52 (2017) - [j2]Vardan Papyan, Jeremias Sulam, Michael Elad:
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. IEEE Trans. Signal Process. 65(21): 5687-5701 (2017) - [c1]Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam:
Convolutional Dictionary Learning via Local Processing. ICCV 2017: 5306-5314 - [i8]Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad:
Convolutional Dictionary Learning via Local Processing. CoRR abs/1705.03239 (2017) - [i7]Vardan Papyan, Jeremias Sulam, Michael Elad:
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. CoRR abs/1707.06066 (2017) - [i6]Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad:
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. CoRR abs/1708.08705 (2017) - [i5]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 abs/1711.10046 (2017) - 2016
- [j1]Vardan Papyan, Michael Elad:
Multi-Scale Patch-Based Image Restoration. IEEE Trans. Image Process. 25(1): 249-261 (2016) - [i4]Vardan Papyan, Jeremias Sulam, Michael Elad:
Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding. CoRR abs/1607.02005 (2016) - [i3]Vardan Papyan, Jeremias Sulam, Michael Elad:
Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding. CoRR abs/1607.02009 (2016) - [i2]Vardan Papyan, Yaniv Romano, Michael Elad:
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. CoRR abs/1607.08194 (2016) - [i1]Vardan Papyan, Ronen Talmon:
Multimodal Latent Variable Analysis. CoRR abs/1611.08472 (2016)
Coauthor Index
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