Tanya Veeravalli
Research Area
- Deep Learning, Generative Models
- (Stochastic) Dynamical Systems
- Control Theory
- AI4Science
1. T. Veeravalli, M. Raginsky. Revisiting Stochastic Realisation Theory using Functional Itô Calculus. IFAC-PapersOnLine, Volume 58, Issue 17, 2024, Pages 326-331, ISSN 2405-8963.
2. T. Veeravalli and M. Raginsky. A Constructive Approach to Function Realisation by Neural Stochastic Differential Equations. 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 6364-6369.
3. Veeravalli, T., Raginsky, M. Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations. 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. smartSDH: An Experimental Study of Mechanism-Based Building Control. IEEE Systems Journal, vol. 16, no. 4, pp. 6289-6299, Dec 2022.
5. Bayen, A., Friedrich, J., Keimer, A., Pflug, L., & Veeravalli, T. Modelling Multilane Traffic with Moving Obstacles by Nonlocal Balance Laws. SIAM Journal on Applied Dynamical Systems, 21(2), 1495–1538, 2022.
6. Keimer, A., Singh, M., & Veeravalli, T. Existence and Uniqueness Results for a Class of Nonlocal Conservation Laws by Means of a Lax–Hopf-type Solution Formula. 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. A Deep Learning and Gamification Approach to Improving Human-building Interaction and Energy Efficiency in Smart Infrastructure. Applied Energy, 237, 810–821. 2019.
2. T. Veeravalli and M. Raginsky. A Constructive Approach to Function Realisation by Neural Stochastic Differential Equations. 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 6364-6369.
3. Veeravalli, T., Raginsky, M. Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations. 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. smartSDH: An Experimental Study of Mechanism-Based Building Control. IEEE Systems Journal, vol. 16, no. 4, pp. 6289-6299, Dec 2022.
5. Bayen, A., Friedrich, J., Keimer, A., Pflug, L., & Veeravalli, T. Modelling Multilane Traffic with Moving Obstacles by Nonlocal Balance Laws. SIAM Journal on Applied Dynamical Systems, 21(2), 1495–1538, 2022.
6. Keimer, A., Singh, M., & Veeravalli, T. Existence and Uniqueness Results for a Class of Nonlocal Conservation Laws by Means of a Lax–Hopf-type Solution Formula. 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. A Deep Learning and Gamification Approach to Improving Human-building Interaction and Energy Efficiency in Smart Infrastructure. Applied Energy, 237, 810–821. 2019.
- Reviewer: IEEE TAC, ICML, NeurIPS and ICLR