| 2026 | WCNC | LOREN: Low-Rank-Based Code-Rate Adaptation in Neural Receivers. | Bram Van Bolderik, Vlado Menkovski, Sonia M. Heemstra de Groot, Manil Dev Gomony |
| 2025 | DIS | Aspect-Based Few-Shot Learning. | Tim van Engeland, Lu Yin, Vlado Menkovski |
| 2025 | DIS | Score Matching on Large Geometric Graphs for Cosmology Generation. | Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski |
| 2025 | DIS | Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale. | Pol Timmer, Koen Minartz, Vlado Menkovski |
| 2025 | ICML | Deep Neural Cellular Potts Models. | Koen Minartz, Tim D'Hondt, Leon Hillmann, Jrn Starru, Lutz Brusch, Vlado Menkovski |
| 2024 | DIS | VADA: A Data-Driven Simulator for Nanopore Sequencing. | Jonas Niederle, Simon M. Koop, Marc Pags-Gallego, Vlado Menkovski |
| 2024 | DIS | Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE⋆. | Mahefa Ratsisetraina Ravelonanosy, Vlado Menkovski, Jacobus W. Portegies |
| 2024 | DSD | Agile Design-Space Exploration of Dynamic Layer-Skipping in Neural Receivers. | Bram Van Bolderik, Souradip Sarkar, Vlado Menkovski, Sonia M. Heemstra de Groot, Manil Dev Gomony |
| 2024 | IDA | Node Classification in Random Trees. | Wouter W. L. Nuijten, Vlado Menkovski |
| 2024 | IDA | Equivariant Parameter Sharing for Porous Crystalline Materials. | Marko Petkovic, Pablo Romero-Marimon, Vlado Menkovski, Sofa Calero |
| 2023 | AAAI | Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. | Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | ACL | NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. | Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | IDA | Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. | Loek Tonnaer, Mike Holenderski, Vlado Menkovski |
| 2022 | ICML | Quantifying and Learning Linear Symmetry-Based Disentanglement. | Loek Tonnaer, Luis Armando Prez Rey, Vlado Menkovski, Mike Holenderski, Jim Portegies |
| 2022 | IDA | VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs. | Yoeri Poels, Vlado Menkovski |
| 2022 | IDA | Simulation of Scientific Experiments with Generative Models. | Stepan Veretennikov, Koen Minartz, Vlado Menkovski, Burcu Gumuscu, Jan de Boer |
| 2022 | IDA | Semantic-Based Few-Shot Classification by Psychometric Learning. | Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
| 2022 | UAI | Superposing many tickets into one: A performance booster for sparse neural network training. | Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy |
| 2021 | ACML | calibrated adversarial training. | Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
| 2021 | ACML | Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning. | Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski |
| 2021 | ACML | Hierarchical Semantic Segmentation using Psychometric Learning. | Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy |
| 2021 | EMNLP | ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. | Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy |
| 2021 | ICPM | Process Discovery Using Graph Neural Networks. | Dominique Sommers, Vlado Menkovski, Dirk Fahland |
| 2020 | ICASSP | Detection of Mild Dyspnea from Pairs of Speech Recordings. | Sander M. Boelders, Venkata Srikanth Nallanthighal, Vlado Menkovski, Aki Hrm |
| 2020 | IJCAI | Diffusion Variational Autoencoders. | Luis A. Prez Rey, Vlado Menkovski, Jim Portegies |
| 2020 | IDA | Evaluation of CNN Performance in Semantically Relevant Latent Spaces. | Jeroen van Doorenmalen, Vlado Menkovski |
| 2019 | ICIP | Stampnet: Unsupervised Multi-Class Object Discovery. | Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi |
| 2019 | IJCNN | Anomaly Detection for Visual Quality Control of 3D-Printed Products. | Loek Tonnaer, Jiapeng Li, Vladimir Osin, Mike Holenderski, Vlado Menkovski |
| 2019 | VTC | VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance. | Yuhao Wang, Vlado Menkovski, Ivan Wang Hei Ho, Mykola Pechenizkiy |
| 2018 | SMC | Shunting Trains with Deep Reinforcement Learning. | Evertjan Peer, Vlado Menkovski, Yingqian Zhang, Wan-Jui Lee |
| 2017 | AVSS | Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields. | Alessandro Corbetta, Vlado Menkovski, Federico Toschi |
| 2013 | MOMM | Instantaneous Video Quality Assessment for lightweight devices. | Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos |
| 2012 | MOMM | Quality of experience management for video streams: the case of Skype. | Antonio Liotta, Luca Druda, Vlado Menkovski, Georgios Exarchakos |
| 2011 | MOMM | Can Skype be used beyond video calling? | Georgios Exarchakos, Vlado Menkovski, Antonio Liotta |
| 2009 | MOMM | Predicting quality of experience in multimedia streaming. | Vlado Menkovski, Adetola Oredope, Antonio Liotta, Antonio Cuadra Snchez |