Margeloiu, Andrei

8 publications

NeurIPSW 2024 Augmenting Small-Size Tabular Data with Class-Specific Energy-Based Models Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

TMLR 2024 GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik

ICML 2024 ProtoGate: Prototype-Based Neural Networks with Global-to-Local Feature Selection for Tabular Biomedical Data Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik

NeurIPS 2024 TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

ICMLW 2024 TabMDA: Tabular Manifold Data Augmentation for Any Classifier Using Transformers with In-Context Subsetting Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Lio, Mateja Jamnik

NeurIPSW 2023 GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik

ICMLW 2023 ProtoGate: Prototype-Based Neural Networks with Local Feature Selection for Tabular Biomedical Data Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik

AAAI 2023 Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik