Vardan Papyan - RankMe

49 papers A* 14Misc 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Laplacian Mechanism Improves Transformers by Reshaping Token Geometry. CoRR Yuchong Zhang, Vardan Papyan
2025	J	`jnl`	Attention Sinks and Outlier Features: A 'Catch, Tag, and Release' Mechanism for Embeddings. CoRR Stephen Zhang, Mustafa Khan, Vardan Papyan
2025	A*	`conf`	Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses. ICLR David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot
2025	A*	`conf`	OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition. ICLR Stephen Zhang, Vardan Papyan
2025	A*	`conf`	On the Importance of Gaussianizing Representations. ICML Daniel Eftekhari, Vardan Papyan
2025	J	`jnl`	On the Importance of Gaussianizing Representations. CoRR Daniel Eftekhari, Vardan Papyan
2025	A*	`conf`	Transformer Block Coupling and its Correlation with Generalization in LLMs. ICLR Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan
2024	J	`jnl`	A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses. CoRR David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot
2024	A*	`conf`	Linguistic Collapse: Neural Collapse in (Large) Language Models. NeurIPS Robert Wu, Vardan Papyan
2024	J	`jnl`	Linguistic Collapse: Neural Collapse in (Large) Language Models. CoRR Robert Wu, Vardan Papyan
2024	J	`jnl`	OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition. CoRR Stephen Zhang, Vardan Papyan
2024	A*	`conf`	Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. ICML Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel
2024	A*	`conf`	Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches. ICML David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan
2024	A*	`conf`	Pushing Boundaries: Mixup's Influence on Neural Collapse. ICLR Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan
2024	J	`jnl`	Pushing Boundaries: Mixup's Influence on Neural Collapse. CoRR Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan
2024	J	`jnl`	Residual Alignment: Uncovering the Mechanisms of Residual Networks. CoRR Jianing Li, Vardan Papyan
2024	A*	`conf`	Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. ICML Stephen Zhang, Vardan Papyan
2024	J	`jnl`	Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities. CoRR Stephen Zhang, Vardan Papyan
2024	J	`jnl`	Transformer Alignment in Large Language Models. CoRR Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan
2023	J	`jnl`	LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? CoRR David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan
2023	J	`jnl`	Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. CoRR Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel
2023	A*	`conf`	Residual Alignment: Uncovering the Mechanisms of Residual Networks. NeurIPS Jianing Li, Vardan Papyan
2022	A*	`conf`	Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR X. Y. Han, Vardan Papyan, David L. Donoho
2021	J	`jnl`	Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR X. Y. Han, Vardan Papyan, David L. Donoho
2020	J	`jnl`	Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR Vardan Papyan, X. Y. Han, David L. Donoho
2020	J	`jnl`	Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra. CoRR Vardan Papyan
2019	J	`jnl`	Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
2019	A*	`conf`	Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. ICML Vardan Papyan
2019	J	`jnl`	Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. CoRR Vardan Papyan
2018	J	`jnl`	Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Trans. Signal Process. Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2018	J	`jnl`	Multimodal latent variable analysis. Signal Process. Vardan Papyan, Ronen Talmon
2018	A*	`conf`	Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
2018	J	`jnl`	Neural Proximal Gradient Descent for Compressive Imaging. CoRR Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
2018	Misc	`conf`	Projecting on to the Multi-Layer Convolutional Sparse Coding Model. ICASSP Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2018	J	`jnl`	The Full Spectrum of Deep Net Hessians At Scale: Dynamics with Sample Size. CoRR Vardan Papyan
2018	J	`jnl`	Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. IEEE Signal Process. Mag. Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
2017	A*	`conf`	Convolutional Dictionary Learning via Local Processing. ICCV Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam
2017	J	`jnl`	Convolutional Dictionary Learning via Local Processing. CoRR Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
2017	J	`jnl`	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. J. Mach. Learn. Res. Vardan Papyan, Yaniv Romano, Michael Elad
2017	—	`—`	Global Versus Local Modeling of Signals. Vardan Papyan
2017	J	`jnl`	Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. CoRR Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
2017	J	`jnl`	Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
2017	J	`jnl`	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad
2017	J	`jnl`	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. IEEE Trans. Signal Process. Vardan Papyan, Jeremias Sulam, Michael Elad
2016	J	`jnl`	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. CoRR Vardan Papyan, Yaniv Romano, Michael Elad
2016	J	`jnl`	Multi-Scale Patch-Based Image Restoration. IEEE Trans. Image Process. Vardan Papyan, Michael Elad
2016	J	`jnl`	Multimodal Latent Variable Analysis. CoRR Vardan Papyan, Ronen Talmon
2016	J	`jnl`	Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad
2016	J	`jnl`	Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding. CoRR Vardan Papyan, Jeremias Sulam, Michael Elad