3 papers
cs.LG2026
Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes
Costa Georgantas
Large language model (LLM) systems are increasingly proposed to assist peer review, yet most evaluations judge the prose of machine-generated review text, not the validity of the n…
cs.LG2026
Gradient Boosted Risk Scores
Costa Georgantas, Jonas Richiardi
Risk scores are an interpretable and actionable class of machine learning models with applications in medicine, insurance, and risk management. Unlike most computational methods, r…
cs.CV2022
Dyadic Human Motion Prediction
Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann +1
Prior work on human motion forecasting has mostly focused on predicting the future motion of single subjects in isolation from their past pose sequence. In the presence of closely…