DEEE proudly announces that a research work from the department's GenAI team has been accepted for publication in the International Conference on Learning Representations (ICLR) proceedings, a top-tier venue in artificial intelligence and learning systems.

This work introduces 𝐂𝐎𝐒𝐌𝐎-𝐈𝐍𝐑, a novel complex modulation-based framework to mitigate spectral attenuation, a common phenomenon that degrades INR performance. The work is grounded on a strong theoretical foundation based on Chebyshev polynomial approximations and harmonic distortion analysis. This includes a thorough experimental analysis showing that COSMO-INR significantly outperforms the state of the art across numerous tasks, including image reconstruction, denoising, inpainting, neural radiance fields (NeRFs), and 3D object reconstruction.

Full paper can be accessed at: https://lnkd.in/gezcqYcw

The achievement is especially meaningful because the research was led entirely by recent graduates and faculty from the Department of Electrical & Electronic Engineering - UOP, through the MARC (Multidisciplinary AI Research Centre - University of Peradeniya) INR team. From idea to implementation and writing, the work was developed locally, showcasing the strength of home-grown talent and mentorship at UoP in producing globally competitive AI research.

Team Members:
Pandula Thennakoon
Avishka Ranasinghe
Mario De Silva
Buwaneka Epakanda

Supervisors: 
Prof. Roshan Godaliyadda
Prof. Mervyn Parakrama Ekanayake
Prof. Vijitha R. Herath

𝐀𝐛𝐨𝐮𝐭 ICLR:

The International Conference on Learning Representations (ICLR) is a top-tier venue in Artificial Intelligence and learning systems. According to Google Scholar Metrics, ICLR ranks 8th overall across all disciplines and publication types (2nd in the AI category), placing it among the most prestigious and highest-impact publications, including Nature, The Lancet, The New England Journal of Medicine, Science, and CVPR. ICLR records a h5-index of 362 and h5-median of 652, reflecting very strong citation impact and wide research influence. According to the https://health-nlp.com/posts/2022_journal_impact_factors_for_CS_conferences#:~:text=The%20International%20Conference%20on%20Learning%20Representations%20(ICLR),of%20journals%20such%20as%20Nature%20and%20Science. This conference proceedings has an impact factor on 48.9  as of 2022.