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6 Publications
2024 | Published | Conference Paper | IST-REx-ID: 18890 | 
D. Beaglehole, P. Súkeník, M. Mondelli, and M. Belkin, “Average gradient outer product as a mechanism for deep neural collapse,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Preprint]
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18875 |
N. Kalinin and C. Lampert, “Banded square root matrix factorization for differentially private model training,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version]
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18996 |
T. Chen, K. Bello, F. Locatello, B. Aragam, and P. K. Ravikumar, “Identifying general mechanism shifts in linear causal representations,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version]
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12537 |
S. Bombari, M. H. Amani, and M. Mondelli, “Memorization and optimization in deep neural networks with minimum over-parameterization,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022, vol. 35, pp. 7628–7640.
[Preprint]
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 14326 |
F. Locatello et al., “Object-centric learning with slot attention,” in 34th International Conference on Neural Information Processing Systems, Virtual, 2020, vol. 33, pp. 11525–11538.
[Preprint]
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14202 |
F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting black box variational inference,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2018, vol. 31.
[Preprint]
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| arXiv