Alexander Shevchenko
Graduate School
Mondelli Group
5 Publications
2024 | Published | Thesis | IST-REx-ID: 17465 | 
Shevchenko, Alexander. High-Dimensional Limits in Artificial Neural Networks. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17465.
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2024 | Published | Conference Paper | IST-REx-ID: 17469 |
Kögler, Kevin, et al. “Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 24964–5015.
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2023 | Published | Conference Paper | IST-REx-ID: 14459 |
Shevchenko, Alexander, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 31151–209.
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2022 | Published | Journal Article | IST-REx-ID: 11420 |
Shevchenko, Alexander, et al. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research, vol. 23, no. 130, Journal of Machine Learning Research, 2022, pp. 1–55.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9198 |
Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 8773–84.
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| arXiv
Grants
5 Publications
2024 | Published | Thesis | IST-REx-ID: 17465 |
Shevchenko, Alexander. High-Dimensional Limits in Artificial Neural Networks. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17465.
[Published Version]
View
| Files available
| DOI
2024 | Published | Conference Paper | IST-REx-ID: 17469 |
Kögler, Kevin, et al. “Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 24964–5015.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14459 |
Shevchenko, Alexander, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 31151–209.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 | Published | Journal Article | IST-REx-ID: 11420 |
Shevchenko, Alexander, et al. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research, vol. 23, no. 130, Journal of Machine Learning Research, 2022, pp. 1–55.
[Published Version]
View
| Files available
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9198 |
Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 8773–84.
[Published Version]
View
| Files available
| arXiv