Andrei Margeloiu

14 papers A* 3Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLM Embeddings for Deep Learning on Tabular Data. CoRR Boshko Koloski, Andrei Margeloiu, Xiangjian Jiang, Blaz Skrlj, Nikola Simidjievski, Mateja Jamnik
2024	—	`conf`	From Must to May: Enabling Test-Time Feature Imputation and Interventions. HI-AI@KDD Evan Rex, Mateo Espinosa Zarlenga, Andrei Margeloiu, Mateja Jamnik
2024	J	`jnl`	GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data. Trans. Mach. Learn. Res. Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
2024	A*	`conf`	ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data. ICML Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik
2024	A*	`conf`	TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. NeurIPS Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. CoRR Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2023	J	`jnl`	Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs. CoRR Navindu Leelarathna, Andrei Margeloiu, Mateja Jamnik, Nikola Simidjievski
2023	J	`jnl`	ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. CoRR Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik
2023	A*	`conf`	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2022	J	`jnl`	Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik
2022	J	`jnl`	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
2021	J	`jnl`	Do Concept Bottleneck Models Learn as Intended? CoRR Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller
2020	J	`jnl`	Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. CoRR Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller