Bahadori, Mohammad Taha

8 publications

ICMLW 2024 Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi, Mohammad Taha Bahadori, Seyi Feyisetan, Payman Arabshahi, David Heckerman

ICML 2024 Multiply-Robust Causal Change Attribution Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, David Heckerman

ICLR 2021 Debiasing Concept-Based Explanations with Causal Analysis Mohammad Taha Bahadori, David Heckerman

MLHC 2016 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun

NeurIPS 2016 RETAIN: An Interpretable Predictive Model for Healthcare Using Reverse Time Attention Mechanism Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter Stewart

ICML 2015 Functional Subspace Clustering with Application to Time Series Mohammad Taha Bahadori, David Kale, Yingying Fan, Yan Liu

NeurIPS 2014 Fast Multivariate Spatio-Temporal Analysis via Low Rank Tensor Learning Mohammad Taha Bahadori, Qi Yu, Yan Liu

ICML 2012 Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling Yan Liu, Mohammad Taha Bahadori, Hongfei Li