| Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer Y Baum, M Amico, S Howell, M Hush, M Liuzzi, P Mundada, T Merkh, ... PRX Quantum 2 (4), 040324, 2021 | 99 | 2021 |
| Experimental benchmarking of an automated deterministic error-suppression workflow for quantum algorithms PS Mundada, A Barbosa, S Maity, Y Wang, T Merkh, TM Stace, F Nielson, ... Physical Review Applied 20 (2), 024034, 2023 | 34 | 2023 |
| Geometry of linear convolutional networks K Kohn, T Merkh, G Montúfar, M Trager SIAM Journal on Applied Algebra and Geometry 6 (3), 368-406, 2022 | 20 | 2022 |
| Time invariant surface roughness evolution during atmospheric pressure thin film depositions T Merkh, R Spivey, TM Lu Scientific Reports 6 (1), 19888, 2016 | 20 | 2016 |
| Stochastic feedforward neural networks: Universal approximation T Merkh, G Montúfar arXiv preprint arXiv:1910.09763 5, 2019 | 9 | 2019 |
| Semi-supervised nmf models for topic modeling in learning tasks J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... arXiv preprint arXiv:2010.07956, 2020 | 7 | 2020 |
| Automatic Infectious Disease Classification Analysis with Concept Discovery E Sizikova, J Vendrow, X Cao, R Grotheer, J Haddock, L Kassab, ... arXiv preprint arXiv:2209.02415, 2022 | 5 | 2022 |
| Semi-supervised nonnegative matrix factorization for document classification J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021 | 5 | 2021 |
| Resistivity of epitaxial copper nanolines with trapezoidal cross-section Z Lu, DM Frey, T Merkh, R Lord, MA Washington, TM Lu Thin Solid Films 599, 187-193, 2016 | 4 | 2016 |
| Factorized mutual information maximization T Merkh, G Montúfar arXiv preprint arXiv:1906.05460, 2019 | 3 | 2019 |
| Improving the performance of algorithms on NISQ-Devices through automated control design and implementation A Mishra, T Merkh, A Santana, D Schmid, H Slayter, P Mundada, M Amigo, ... APS March Meeting Abstracts 2022, Y41. 005, 2022 | | 2022 |
| Methods of Optimization in Deep Learning T Merkh Optimization, 2018 | | 2018 |
| MD 21218, USA K Kawaguchi, G Kutyniok, Y Levine, Q Li, T Merkh, G Montavon, ... | | |
| Optimization In Deep Learning T Merkh | | |
