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Andrei Margeloiu
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2020 – today
- 2024
- [c2]Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik:
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data. ICML 2024 - [i7]Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR abs/2406.01805 (2024) - 2023
- [c1]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI 2023: 9081-9089 - [i6]Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik:
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. CoRR abs/2306.12330 (2023) - [i5]Navindu Leelarathna, Andrei Margeloiu, Mateja Jamnik, Nikola Simidjievski:
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs. CoRR abs/2306.15661 (2023) - 2022
- [i4]Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik:
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR abs/2211.06302 (2022) - [i3]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR abs/2211.15616 (2022) - 2021
- [i2]Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller:
Do Concept Bottleneck Models Learn as Intended? CoRR abs/2105.04289 (2021) - 2020
- [i1]Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller:
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. CoRR abs/2012.01166 (2020)
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