Daria Tieplova
According to our database1,
Daria Tieplova
authored at least 5 papers
between 2020 and 2025.
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Bibliography
2025
Information-theoretic limits and approximate message-passing for high-dimensional time series.
CoRR, January, 2025
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025
2023
Fundamental limits of overparametrized shallow neural networks for supervised learning.
CoRR, 2023
2021
On the largest singular values of certain large random matrices with application to the estimation of the minimal dimension of the state-space representations of high-dimensional time series.
CoRR, 2021
2020
On the Limit Distribution of the Canonical Correlation Coefficients Between the Past and the Future of a High-Dimensional White Noise.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020