3 papers
cs.CV2026
ScaLe-INR: Scale and Learn Implicit Neural Representations
Buwaneka Epakanda, Athulya Ratnayake, Pandula Thennakoon +4
Implicit Neural Representations (INRs) parameterized by multilayer perceptrons excel at modeling continuous signals. However, a key challenge persists as INRs fundamentally suffer…
cs.CV2025
COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
Pandula Thennakoon, Avishka Ranasinghe, Mario De Silva +4
Implicit neural representations (INRs) are a powerful paradigm for modeling data, offering a continuous alternative to discrete signal representations. Their ability to compactly e…
eess.SY2025
AVSim -- Realistic Simulation Framework for Airborne and Vector-Borne Disease Dynamics
Pandula Thennakoon, Mario De Silva, M. Mahesha Viduranga +8
Computational disease modeling plays a crucial role in understanding and controlling the transmission of infectious diseases. While agent-based models (ABMs) provide detailed insig…