Lin, Alexander

4 publications

ICLRW 2025 Shap-Based A-Posteriori Interpretability for Graph Neural Networks in Cfd-Based Sustainable Building Simulations Bo Sun, Hanmo Wang, Tam Hong Nguyen, Alexander Lin

ICML 2023 Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba E. Ba

ICMLW 2023 Word-Level Explanations for Analyzing Bias in Text-to-Image Models Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju

AISTATS 2019 Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba Ba