Viktor Podolskiy

According to our database, Viktor Podolskiy authored at least 5 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

<i>CoPhy</i>-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems.

Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne

ACM Trans. Intell. Syst. Technol., 2022

Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation.

Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora

CoRR, 2022

2021

Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems.

Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2004

The limitedness problem on distance automata: Hashiguchi's method revisited.

Hing Leung, Viktor Podolskiy

Theor. Comput. Sci., 2004

2001

The Limitedness Problem on Distance Automata.

Hing Leung, Viktor Podolskiy

Proceedings of the Third International Workshop on Descriptional Complexity of Automata, Grammars and Related Structures - DCAGRS 2001, Vienna, Austria, July 20, 2001