Barnaghi, Payam

4 publications

ICML 2025 A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle Yu Chen, Nathalia Céspedes, Payam Barnaghi

ICML 2025 AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling Alexander Capstick, Rahul Krishnan, Payam Barnaghi

ACML 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam Barnaghi

ICMLW 2023 Interpreting Differentiable Latent States for Healthcare Time-Series Data Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam Barnaghi