Survey of Dropout Methods for Deep Neural Networks. - Alex Labach; Hojjat Salehinejad; Shahrokh Valaee (CoRR, 2019)

A Framework for Neural Network Pruning Using Gibbs Distributions. - Alex Labach; Shahrokh Valaee (GLOBECOM, 2020)

Regularizing Neural Networks by Stochastically Training Layer Ensembles. - Alex Labach; Shahrokh Valaee (MLSP, 2020)

DuETT: Dual Event Time Transformer for Electronic Health Records. - Alex Labach; Aslesha Pokhrel; Xiao Shi Huang; Saba Zuberi; Seung Eun Yi; Maksims Volkovs; Tomi Poutanen; Rahul G. Krishnan (MLHC, 2023)

MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. - Linfeng Du; Ji Xin; Alex Labach; Saba Zuberi; Maksims Volkovs; Rahul G. Krishnan (CoRR, 2023)

TabDPT: Scaling Tabular Foundation Models. - Junwei Ma; Valentin Thomas; Rasa Hosseinzadeh; Hamidreza Kamkari; Alex Labach; Jesse C. Cresswell; Keyvan Golestan; Guangwei Yu; Maksims Volkovs; Anthony L. Caterini (CoRR, 2024)