1 citations · 1 across the 5 of their papers we have counts for
5 papers
Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial on Si memristors via Dynamic Spectral Optimization
Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena Tešić
Physics-informed neural networks (PINNs) offer a promising framework for modeling semiconductor devices, yet standard architectures struggle with severe numerical stiffness and mul…
Blockwise Stabilized Adaptive Cubic Regularization with Subsolvers via Recurrence
Rodion Podorozhny
Overparameterized networks often have ill-conditioned, saddle rich loss landscapes. They are usually trained with first-order methods that struggle on those landscapes, while many…
Loss Landscape Features That Make Adam Stall: Definitions, Estimators, and the Preconditioned Hessian View
Rodion Podorozhny
Across implicit-neural-representation (INR) architectures and analytic benchmarks we observe that a thoroughly tuned Adam (especially its learning rate (lr), e.g. in a hyperparamet…
Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
Ehsan Zeraatkar, Rodion Podorozhny, Jelena Tešić
Reconstructing continuous physical fields from sparse, irregular observations is a central challenge in scientific machine learning, particularly for systems governed by partial di…
Verification of Distributed Artificial Intelligence Systems in Bioinformatics
Aedin Pereira, Julia Ding, Zaina Ali +1
Software is a great enabler for a number of projects that otherwise would be impossible to perform. Such projects include Space Exploration, Weather Modeling, Genome Projects, and…