Diyuan Wu

3 Publications

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[3]
2025 | Published | Conference Paper | IST-REx-ID: 21326 | OA
Wu, D., & Mondelli, M. (2025). Neural collapse beyond the unconstrained features model: Landscape, dynamics, and generalization in the mean-field regime. In Proceedings of the 42nd International Conference on Machine Learning (Vol. 267, pp. 67499–67536). Vancouver, Canada: ML Research Press.
[Published Version] View | Files available | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., & Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14924 | OA
Wu, D., Kungurtsev, V., & Mondelli, M. (2023). Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In Transactions on Machine Learning Research. ML Research Press.
[Published Version] View | Download Published Version (ext.) | arXiv
 
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3 Publications

Mark all

[3]
2025 | Published | Conference Paper | IST-REx-ID: 21326 | OA
Wu, D., & Mondelli, M. (2025). Neural collapse beyond the unconstrained features model: Landscape, dynamics, and generalization in the mean-field regime. In Proceedings of the 42nd International Conference on Machine Learning (Vol. 267, pp. 67499–67536). Vancouver, Canada: ML Research Press.
[Published Version] View | Files available | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., & Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2023 | Published | Conference Paper | IST-REx-ID: 14924 | OA
Wu, D., Kungurtsev, V., & Mondelli, M. (2023). Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In Transactions on Machine Learning Research. ML Research Press.
[Published Version] View | Download Published Version (ext.) | arXiv
 
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