Ashutosh Singh — accepted AI-conference papers

2024

Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.

Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba

ICLR 2024poster

Recent advances in the theory of Neural Operators (NOs) have enabled fast and accurate computation of the solutions to complex systems described by partial differential equations (PDEs). Despite their great success, current NO-based solutions face important challenges when dealing with spatio-tempor…

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2023

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data

Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus

ICASSP 2023accepted

Subspace clustering algorithms are used for understanding the cluster structure that explains the patterns prevalent in the dataset well. These methods are extensively used for data-exploration tasks in various areas of Natural Sciences. However, most of these methods fail to handle confounding attr…

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