2 papers
cs.LG2026
Random Feature Gaussian Process Attention: Linear-Time Probabilistic Attention with Calibrated Uncertainty
Amir Mohammad Mahfoozi, Zi Yang, Ying Li +1
Transformers provide a state-of-the-art modeling framework, yet poor calibration limits their reliability in safety-critical applications. A promising direction addresses this issu…
cs.IR2025
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
Radin Cheraghi, Amir Mohammad Mahfoozi, Sepehr Zolfaghari +3
Recommending items to users has long been a fundamental task, and studies have tried to improve it ever since. Most well-known models commonly employ representation learning to map…