Performance Modeling of Weather Forecast Machine Learning for Efficient HPC. - Karthick Panner Selvam; Mats Brorsson (ICDCS, 2022)

DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks. - Karthick Panner Selvam; Mats Brorsson (Euro-Par, 2023)

Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model. - Karthick Panner Selvam; Mats Brorsson (PDP, 2023)

Uncertainty and Generalizability in Foundation Models for Earth Observation. - Raúl Ramos-Pollán; Freddie Kalaitzis; Karthick Panner Selvam (CoRR, 2024)

Rapid Adaptation of Earth Observation Foundation Models for Segmentation. - Karthick Panner Selvam; Raúl Ramos-Pollán; Freddie Kalaitzis (CoRR, 2024)

Collaborative Batch Size Optimization for Federated Learning. - Arno Geimer; Karthick Panner Selvam; Beltran Borja Fiz Pontiveros (CoRR, 2025)