3 papers
cs.LG2026
Continuum Attention
Afshin Khadangi
We introduce Continuum Attention (CA), a causal Transformer attention operator that replaces discrete key and value lookup with integration over a continuous, piecewise linear memo…
cs.GR2025
HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices
Akis Nousias, Stavros Nousias
Currently, prominent Transformer architectures applied on graphs and meshes for shape analysis tasks employ traditional attention layers that heavily utilize spectral features requ…
cs.CR2025
Malware Detection in Docker Containers: An Image is Worth a Thousand Logs
Akis Nousias, Efklidis Katsaros, Evangelos Syrmos +7
Malware detection is increasingly challenged by evolving techniques like obfuscation and polymorphism, limiting the effectiveness of traditional methods. Meanwhile, the widespread…