Tanya Veeravalli


Research Area
  • Deep Learning, Generative Models
  • (Stochastic) Dynamical Systems
  • Control Theory
  • AI4Science

Publications

1. T. Veeravalli, M. Raginsky. . IFAC-PapersOnLine, Volume 58, Issue 17, 2024, Pages 326-331, ISSN 2405-8963.

2. T. Veeravalli and M. Raginsky. . 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 6364-6369.

3. Veeravalli, T., Raginsky, M. . Proceedings of the 5th Annual Learning for Dynamics and Control Conference 2023, in Proceedings of Machine Learning Research 211:838-85.

4. I. Konstantakopoulos, K. Hamilton, Y. Murthy, T. Veeravalli, C. Spanos and R. Dong. . IEEE Systems Journal, vol. 16, no. 4, pp. 6289-6299, Dec 2022.

5. Bayen, A., Friedrich, J., Keimer, A., Pflug, L., & Veeravalli, T. . SIAM Journal on Applied Dynamical Systems, 21(2), 1495–1538, 2022.

6. Keimer, A., Singh, M., & Veeravalli, T. . Journal of Hyperbolic Differential Equations, 17(04), 677–705, 2020.

7. Konstantakopoulos, I. C., Barkan, A. R., He, S., Veeravalli, T., Liu, H., & Spanos, C. . Applied Energy, 237, 810–821. 2019.

Research Services

  • Reviewer: IEEE TAC, ICML, NeurIPS and ICLR

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