| Fermionic modular categories and the 16-fold way P Bruillard, C Galindo, T Hagge, SH Ng, JY Plavnik, EC Rowell, Z Wang Journal of Mathematical Physics 58 (4), 2017 | 103 | 2017 |
| Enforcing constraints for interpolation and extrapolation in generative adversarial networks P Stinis, T Hagge, AM Tartakovsky, E Yeung Journal of Computational Physics 397, 108844, 2019 | 39 | 2019 |
| Quantum logic as motivated by quantum computing JM Dunn, TJ Hagge, LS Moss, Z Wang The Journal of Symbolic Logic 70 (2), 353-359, 2005 | 37 | 2005 |
| On arithmetic modular categories O Davidovich, T Hagge, Z Wang arXiv preprint arXiv:1305.2229, 2013 | 28 | 2013 |
| Solving differential equations with unknown constitutive relations as recurrent neural networks T Hagge, P Stinis, E Yeung, AM Tartakovsky arXiv preprint arXiv:1710.02242, 2017 | 26 | 2017 |
| Some non-braided fusion categories of rank three TJ Hagge, SM Hong Communications in Contemporary Mathematics 11 (04), 615-637, 2009 | 23 | 2009 |
| Every Reidemeister move is needed for each knot type T Hagge Proceedings of the American Mathematical Society 134 (1), 295-301, 2006 | 22 | 2006 |
| On the necessity of Reidemeister move 2 for simplifying immersed planar curves TJ Hagge, JT Yazinski arXiv preprint arXiv:0812.1241, 2008 | 19 | 2008 |
| QL (ℂn) determines n TJ Hagge The Journal of Symbolic Logic 72 (4), 1194-1196, 2007 | 11 | 2007 |
| Some non-braided fusion categories of rank 3 TJ Hagge, SM Hong arXiv preprint arXiv:0704.0208, 2007 | 10 | 2007 |
| Spectralfly: Ramanujan graphs as flexible and efficient interconnection networks S Young, S Aksoy, J Firoz, R Gioiosa, T Hagge, M Kempton, J Escobedo, ... 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 7 | 2022 |
| Graphical calculus for fusion categories and quantum invariants for 3-manifolds TJ Hagge Indiana University, 2008 | 7 | 2008 |
| Optimal fermionic swap networks for Hubbard models T Hagge arXiv preprint arXiv:2001.08324, 2020 | 6 | 2020 |
| Geometric invariants for fusion categories T Hagge, M Titsworth arXiv preprint arXiv:1509.03275, 2015 | 6 | 2015 |
| Solving differential equations with unknown constitutive relations as recurrent neural networks (2017) T Hagge, P Stinis, E Yeung, AM Tartakovsky arXiv 1710, 0 | 6 | |
| Quantum logic on finite dimensional Hilbert spaces TJ Hagge, M Dunn, L Moss, Z Wang presentation at the Workshop on Quantum Logic Inspired by Quantum Computation, 2009 | 4 | 2009 |
| Deep learning for scientific discovery CD Corley, NO Hodas, EH Yeung, AM Tartakovsky, TJ Hagge, ... The Next Wave 22 (PNNL-SA-129480), 2018 | 2 | 2018 |
| Error mitigation via error detection using Generalized Superfast Encodings T Hagge, N Wiebe arXiv preprint arXiv:2309.11673, 2023 | 1 | 2023 |
| Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits A Khan, M Halappanavar, T Hagge, K Kowalski, A Pothen, ... 2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019 | 1 | 2019 |
| A comparison of different NDE signal processing techniques based on waveform entropies applied to long fiber-graphite/epoxy-plates M Larche, M Prowant, P Bruillard, T Hagge, LS Fifield, M Hughes, X Sun Nondestructive Characterization and Monitoring of Advanced Materials …, 2017 | | 2017 |
