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Anastasia Borovykh

Observed names: A. Borovykh, Borovykh, Anastasia, Borovykh, Anastasia Igorevna
ORCID: 0000-0002-8550-4827
Observed ORCID: 0000-0002-8550-4827
OpenAlex ID: A5033819196
Conditional Time Series Forecasting with Convolutional Neural Networks
2017 · Borovykh, Anastasia, Bohte, Sander, et al. · arXiv (Cornell University) · 719
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Optimally weighted loss functions for solving PDEs with Neural Networks
2021 · Remco van der Meer, Cornelis W. Oosterlee, et al. · Journal of Computational and Applied Mathematics · 165
Dilated convolutional neural networks for time series forecasting
2018 · Anastasia Borovykh, Sander Bohte, et al. · The Journal of Computational Finance · 131
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Generalization in fully-connected neural networks for time series forecasting
2019 · Anastasia Borovykh, Cornelis W. Oosterlee, et al. · Journal of Computational Science · 44
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Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
2021 · Mohammad Malekzadeh, Anastasia Borovykh, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 38
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Layer-wise Characterization of Latent Information Leakage in Federated Learning
2020 · Mo, Fan, Borovykh, Anastasia, et al. · arXiv (Cornell University) · 34
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A Gaussian Process perspective on Convolutional Neural Networks
2018 · Borovykh, Anastasia · arXiv (Cornell University) · 22
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Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
2025 · Xavier F. Cadet, Anastasia Borovykh, et al. · IEEE European Symposium on Security and Privacy · 19
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Efficient Computation of Various Valuation Adjustments Under Local Lévy Models
2018 · Anastasia Borovykh, Andrea Pascucci, et al. · SIAM Journal on Financial Mathematics · 17
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Leave-one-out Distinguishability in Machine Learning
2023 · Ye, Jiayuan, Borovykh, Anastasia, et al. · arXiv (Cornell University) · 15
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Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments
2025 · Max Weissenbacher, Anastasia Borovykh, et al. · Flow Turbulence and Combustion · 14
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Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
2021 · Mo, Fan, Borovykh, Anastasia, et al. · arXiv (Cornell University) · 14
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On a Neural Network to Extract Implied Information from American Options
2021 · Shuaiqiang Liu, Álvaro Leitao, et al. · Applied Mathematical Finance · 13
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Pricing Bermudan options under local Lévy models with default
2017 · A. Borovykh, A. Pascucci, et al. · Journal of Mathematical Analysis and Applications · 11
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Systemic Risk in a Mean-Field Model of Interbank Lending with Self-Exciting Shocks
2017 · Anastasia Borovykh, Andrea Pascucci, et al. · IISE Transactions · 10
When Does Continual Learning Require Learning
2026 · Harrington, Anne, Saxena, Nayan, et al. · arXiv (Cornell University) · 9
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Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs
2022 · A. Borovykh, D. Kalise, et al. · IFAC-PapersOnLine · 8
On stochastic mirror descent with interacting particles: Convergence properties and variance reduction
2021 · A. Borovykh, N. Kantas, et al. · Physica D Nonlinear Phenomena · 8
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Quantifying Information Leakage from Gradients.
2021 · Fan Mo, Anastasia Borovykh, et al. · arXiv (Cornell University) · 6
Stochastic Mirror Descent for Convex Optimization with Consensus Constraints
2024 · A. Borovykh, N. Kantas, et al. · SIAM Journal on Applied Dynamical Systems · 4
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Username Squatting on Online Social Networks: A Study on X
2024 · Anastasios Lepipas, Anastasia Borovykh, et al. · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · 2
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds
2023 · Borovykh, Anastasia, Kantas, Nikolas, et al. · arXiv (Cornell University) · 2
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Pricing Bermudan Options Under Local Lévy Models with Default
2016 · Anastasia Borovykh, Andrea Pascucci, et al. · SSRN Electronic Journal · 2
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
2026 · Rodriguez, Marta Aparicio, Borovykh, Anastasia, et al. · arXiv (Cornell University) · 1
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Generalization in LLM Problem Solving: The Case of the Shortest Path
2026 · Tong, Yao, Ye, Jiayuan, et al. · arXiv (Cornell University) · 1
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Works count: 42
Citation count: 1,317
H-index: 13
I10-index: 15
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