Alex Labach

According to our database, Alex Labach authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

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

Proceedings of the Machine Learning for Healthcare Conference, 2023

2020

Regularizing Neural Networks by Stochastically Training Layer Ensembles.

Alex Labach, Shahrokh Valaee

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A Framework for Neural Network Pruning Using Gibbs Distributions.

Alex Labach, Shahrokh Valaee

Proceedings of the IEEE Global Communications Conference, 2020

2019

Survey of Dropout Methods for Deep Neural Networks.

Alex Labach, Hojjat Salehinejad, Shahrokh Valaee

CoRR, 2019