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Vlado Menkovski

Eindhoven University of Technology, Eindhoven, The Netherlands

Calibrated Adversarial Training


Oct 11, 2021
Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy

* ACML 2021 accepted,24 pages 

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Process Discovery Using Graph Neural Networks


Sep 13, 2021
Dominique Sommers, Vlado Menkovski, Dirk Fahland

* accepted at IEEE International Conference on Process Mining (ICPM) 2021, submitted version 

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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection


Sep 10, 2021
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy

* EMNLP2021-Findings 
* This manuscript will be available in ACL Anthology section EMNLP2021-Findings papers 

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VAE-CE: Visual Contrastive Explanation using Disentangled VAEs


Aug 20, 2021
Yoeri Poels, Vlado Menkovski


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On Generalization of Graph Autoencoders with Adversarial Training


Aug 04, 2021
Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

* ECML 2021 Accepted 

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Hierarchical Semantic Segmentation using Psychometric Learning


Jul 07, 2021
Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy

* 17 pages, 12 figures 

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Direction-Aggregated Attack for Transferable Adversarial Examples


Apr 19, 2021
Tianjin Huang, Vlado Menkovski, Yulong Pei, YuHao Wang, Mykola Pechenizkiy


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Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks


Apr 16, 2021
Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy

* arXiv admin note: text overlap with arXiv:2009.14738 

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Quantifying and Learning Disentangled Representations with Limited Supervision


Nov 26, 2020
Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies


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A Metric for Linear Symmetry-Based Disentanglement


Nov 26, 2020
Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies


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Bridging the Performance Gap between FGSM and PGD Adversarial Training


Nov 07, 2020
Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy


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Complex Vehicle Routing with Memory Augmented Neural Networks


Sep 22, 2020
Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski

* Presented at 3RD IEEE International Conference on Industrial Cyber-Physical Systems, 2020 

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Explaining Predictions by Approximating the Local Decision Boundary


Jun 14, 2020
Georgios Vlassopoulos, Tim van Erven, Henry Brighton, Vlado Menkovski


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Knowledge Elicitation using Deep Metric Learning and Psychometric Testing


Apr 14, 2020
Lu Yin, Vlado Menkovski, Mykola Pechenizkiy

* 16 pages, 11 figures 

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Causal Discovery from Incomplete Data: A Deep Learning Approach


Jan 15, 2020
Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy


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Pedestrian orientation dynamics from high-fidelity measurements


Jan 14, 2020
Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi


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Deep learning velocity signals allows to quantify turbulence intensity


Nov 14, 2019
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi


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BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation


Sep 17, 2019
Iftitahu Ni'mah, Vlado Menkovski, Mykola Pechenizkiy


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Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning


Jun 05, 2019
Niels Hellinga, Vlado Menkovski

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Micro-expression detection in long videos using optical flow and recurrent neural networks


Mar 26, 2019
Michiel Verburg, Vlado Menkovski

* 6 pages, 6 figures and 1 table 

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StampNet: unsupervised multi-class object discovery


Feb 07, 2019
Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi


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Diffusion Variational Autoencoders


Jan 25, 2019
Luis A. Pérez Rey, Vlado Menkovski, Jacobus W. Portegies

* 10 pages, 8 figures 

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Anomaly Detection for imbalanced datasets with Deep Generative Models


Nov 02, 2018
Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski, Dimitrios Mavroeidis

* 15 pages, 13 figures, accepted by Benelearn 2018 conference 

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Deep Learning in Information Security


Sep 12, 2018
Stefan Thaler, Vlado Menkovski, Milan Petkovic


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Understanding Anatomy Classification Through Attentive Response Maps


Feb 07, 2018
Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong

* Accepted at ISBI, 2018 

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Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields


Jun 09, 2017
Alessandro Corbetta, Vlado Menkovski, Federico Toschi

* Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on 

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