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Viktor Podolskiy

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2020 – today

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2022
[j2]
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  - journals/tist/ElhamodBSRGPLK22
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  - https://dblp.org/rec/journals/tist/ElhamodBSRGPLK22
Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne:
CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems. ACM Trans. Intell. Syst. Technol. 13(6): 92:1-92:23 (2022)
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  - journals/corr/abs-2202-05994
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Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora:
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. CoRR abs/2202.05994 (2022)
2021
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Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne:
Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS 2021

2000 – 2009

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2004
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Hing Leung, Viktor Podolskiy:
The limitedness problem on distance automata: Hashiguchi's method revisited. Theor. Comput. Sci. 310(1-3): 147-158 (2004)
2001
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Hing Leung, Viktor Podolskiy:
The Limitedness Problem on Distance Automata. DCFS 2001: 115-121

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