ArXiv TLDR

Ratikanta Behera

2 papers · Latest:

Machine Learning

An adaptive wavelet-based PINN for problems with localized high-magnitude source

AW-PINN uses adaptive wavelets to solve PDEs with localized high-magnitude sources, overcoming loss imbalance and spectral bias.

2604.28180
Statistical Machine Learning

Robust Low-Rank Tensor Completion based on M-product with Weighted Correlated Total Variation and Sparse Regularization

This paper introduces a robust low-rank tensor completion method using M-product TWCTV regularization to better recover corrupted high-dimensional data.

2604.13525

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