Alex Labach

12 papers B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems.
EACL (Volume 1: Long Papers)
Kin Kwan Leung, Mouloud Belbahri, Yi Sui, Alex Labach, Xueying Zhang, Stephen Rose, Jesse C. Cresswell
2025 J jnl
Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems.
CoRR
Kin Kwan Leung, Mouloud Belbahri, Yi Sui, Alex Labach, Xueying Zhang, Stephen Rose, Jesse C. Cresswell
2025 J jnl
Generalization Can Emerge in Tabular Foundation Models From a Single Table.
CoRR
Junwei Ma, Nour Shaheen, Alex Labach, Amine Mhedhbi, Frank Hutter, Anthony L. Caterini, Valentin Thomas
2024 J jnl
TabDPT: Scaling Tabular Foundation Models.
CoRR
Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2023 — conf
DuETT: Dual Event Time Transformer for Electronic Health Records.
MLHC
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
2023 J jnl
DuETT: Dual Event Time Transformer for Electronic Health Records.
CoRR
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
2023 J jnl
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting.
CoRR
Linfeng Du, Ji Xin, Alex Labach, Saba Zuberi, Maksims Volkovs, Rahul G. Krishnan
2020 B conf
A Framework for Neural Network Pruning Using Gibbs Distributions.
GLOBECOM
Alex Labach, Shahrokh Valaee
2020 J jnl
A Framework for Neural Network Pruning Using Gibbs Distributions.
CoRR
Alex Labach, Shahrokh Valaee
2020 — conf
Regularizing Neural Networks by Stochastically Training Layer Ensembles.
MLSP
Alex Labach, Shahrokh Valaee
2019 J jnl
Regularizing Neural Networks by Stochastically Training Layer Ensembles.
CoRR
Alex Labach, Shahrokh Valaee
2019 J jnl
Survey of Dropout Methods for Deep Neural Networks.
CoRR
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee