| 2025 | ICLR | Transformer Block Coupling and its Correlation with Generalization in LLMs. | Murdock Aubry, Haoming Meng, Anton Sugolov, Vardan Papyan |
| 2025 | ICLR | Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses. | David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot |
| 2025 | ICLR | OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition. | Stephen Zhang, Vardan Papyan |
| 2025 | ICML | On the Importance of Gaussianizing Representations. | Daniel Eftekhari, Vardan Papyan |
| 2024 | ICLR | Pushing Boundaries: Mixup's Influence on Neural Collapse. | Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan |
| 2024 | ICML | Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. | Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel |
| 2024 | ICML | Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches. | David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan |
| 2024 | ICML | Sparsest Models Elude Pruning: An Expos of Pruning's Current Capabilities. | Stephen Zhang, Vardan Papyan |
| 2022 | ICLR | Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. | X. Y. Han, Vardan Papyan, David L. Donoho |
| 2019 | ICML | Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. | Vardan Papyan |
| 2018 | ICASSP | Projecting on to the Multi-Layer Convolutional Sparse Coding Model. | Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad |
| 2017 | ICCV | Convolutional Dictionary Learning via Local Processing. | Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam |