2 papers
cs.CV2025
Reducing Deep Network Complexity via Sparse Hierarchical Fourier Interaction Networks
Andrew Kiruluta, Samantha Williams
This paper presents a Sparse Hierarchical Fourier Interaction Networks, an architectural building block that unifies three complementary principles of frequency domain modeling: A…
cs.LG2025
Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention
Andrew Kiruluta, Priscilla Burity, Samantha Williams
Transformer architectures, underpinned by the self-attention mechanism, have achieved state-of-the-art results across numerous natural language processing (NLP) tasks by effectivel…