| On lyapunov exponents for rnns: Understanding information propagation using dynamical systems tools R Vogt, M Puelma Touzel, E Shlizerman, G Lajoie Frontiers in Applied Mathematics and Statistics 8, 818799, 2022 | 26 | 2022 |
| Nonautonomous discrete neuron model with multiple periodic and eventually periodic solutions AN Pisarchik, MA Radin, R Vogt Discrete Dynamics in Nature and Society 2015, 2015 | 7 | 2015 |
| Binary optimal control of single-flux-quantum pulse sequences RH Vogt, NA Petersson SIAM Journal on Control and Optimization 60 (6), 3217-3236, 2022 | 5 | 2022 |
| A mixed-integer PDE-constrained optimization formulation for electromagnetic cloaking RH Vogt, S Leyffer, TS Munson SIAM Journal on Scientific Computing 44 (1), B29-B50, 2022 | 5 | 2022 |
| Quantum Physics without the Physics NA Petersson, F Garcia, DEA Appelo, S Günther, Y Choi, R Vogt arXiv preprint arXiv:2012.03865, 2020 | 4 | 2020 |
| Approximate computing through the lens of uncertainty quantification K Parasyris, J Diffenderfer, H Menon, I Laguna, J Vanover, R Vogt, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 2 | 2022 |
| Solving bang-bang problems using the immersed interface method and integer programming RH Vogt, S Strikwerda arXiv preprint arXiv:2104.08649, 2021 | 1 | 2021 |
| Linking Finite-Time Lyapunov Exponents to RNN Gradient Subspaces and Input Sensitivity R Vogt, E Shlizerman, G Lajoie | | 2023 |
| Interpretation and Optimization of Recurrent Neural Network Performance Through Lyapunov Exponents Methodology R Vogt University of Washington, 2023 | | 2023 |
| Interface Problems and Binary Electromagnetic Cloaking Designs in Computational Electromagnetics RH Vogt North Carolina State University, 2020 | | 2020 |
