Výsledky vyhledávání - "Bose, Kushal"

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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks

Autor: Ghosh, Sagar, Bose, Kushal, Das, Swagatam

The emergence of Deep Convolutional Neural Networks (DCNNs) has been a pervasive tool for accomplishing widespread applications in computer vision. Despite its potential capability to capture intricate patterns inside the data, the underlying embeddi

Externí odkaz: http://arxiv.org/abs/2411.10128

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Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures

Autor: Basu, Arkaprabha, Bose, Kushal, Mullick, Sankha Subhra, Chakrabarty, Anish, Das, Swagatam

Super-Resolution (SR) is a time-hallowed image processing problem that aims to improve the quality of a Low-Resolution (LR) sample up to the standard of its High-Resolution (HR) counterpart. We aim to address this by introducing Super-Resolution Gene

Externí odkaz: http://arxiv.org/abs/2404.06294

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HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings

Autor: Bose, Kushal, Das, Swagatam

Graph Transformers (GTs) facilitate the comprehension of graph-structured data by calculating the self-attention of node pairs without considering node position information. To address this limitation, we introduce an innovative and efficient framewo

Externí odkaz: http://arxiv.org/abs/2312.06576

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