Tatiana Konstantinova

According to our database, Tatiana Konstantinova authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models.

Ethan Baron, Boris N. Oreshkin, Ruijun Ma, Hanyu Zhang, Kari Torkkola, Michael W. Mahoney, Andrew Gordon Wilson, Tatiana Konstantinova

CoRR, October, 2025

A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models.

Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Mengfei Cao, Boris N. Oreshkin, Dmitry Efimov

CoRR, September, 2025

2024

Faster Groebner bases for Lie derivatives of ODE systems via monomial orderings.

Mariya Bessonov, Ilia Ilmer, Tatiana Konstantinova, Alexey Ovchinnikov, Gleb Pogudin, Pedro Soto

Proceedings of the 2024 International Symposium on Symbolic and Algebraic Computation, 2024

2022

Obtaining weights for Gröbner basis computation in parameter identifiability problems.

Mariya Bessonov, Ilia Ilmer, Tatiana Konstantinova, Alexey Ovchinnikov, Gleb Pogudin, Pedro Soto

CoRR, 2022

Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution.

Tatiana Konstantinova, Lutz Wiegart, Maksim S. Rakitin, Anthony M. DeGennaro, Andi M. Barbour

CoRR, 2022

Machine learning enabling high-throughput and remote operations at large-scale user facilities.

Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel, Stuart I. Campbell, Andi M. Barbour, Daniel Olds

CoRR, 2022

2021

Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models.

Tatiana Konstantinova, Lutz Wiegart, Maksim S. Rakitin, Anthony M. DeGennaro, Andi M. Barbour

CoRR, 2021