Adeel A Pervez

3 Publications

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[3]
2025 | Published | Conference Paper | IST-REx-ID: 20032 | OA
Chen, J., Yao, D., Pervez, A. A., Alistarh, D.-A., & Locatello, F. (2025). Scalable mechanistic neural networks. In 13th International Conference on Learning Representations (pp. 63716–63737). Singapore, Singapore: ICLR.
[Published Version] View | Files available | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20817 | OA
Pervez, A. A., Gavves, E., & Locatello, F. (2025). Mechanistic PDE networks for discovery of governing equations. In 42nd International Conference on Machine Learning (Vol. 267, pp. 48962–48973). Vancouver, Canada: ML Research Press.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18114 | OA
Pervez, A. A., Locatello, F., & Gavves, E. (2024). Mechanistic neural networks for scientific machine learning. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 40484–40501). Vienna, Austria: ML Research Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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3 Publications

Mark all

[3]
2025 | Published | Conference Paper | IST-REx-ID: 20032 | OA
Chen, J., Yao, D., Pervez, A. A., Alistarh, D.-A., & Locatello, F. (2025). Scalable mechanistic neural networks. In 13th International Conference on Learning Representations (pp. 63716–63737). Singapore, Singapore: ICLR.
[Published Version] View | Files available | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 20817 | OA
Pervez, A. A., Gavves, E., & Locatello, F. (2025). Mechanistic PDE networks for discovery of governing equations. In 42nd International Conference on Machine Learning (Vol. 267, pp. 48962–48973). Vancouver, Canada: ML Research Press.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18114 | OA
Pervez, A. A., Locatello, F., & Gavves, E. (2024). Mechanistic neural networks for scientific machine learning. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 40484–40501). Vienna, Austria: ML Research Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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