Vlado Menkovski

Jacobus W. Portegies

CoRR, 2024

Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale.

[BibT_eX]

[DOI]

Pol Timmer

Koen Minartz

CoRR, 2024

Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials.

[BibT_eX]

[DOI]

CoRR, 2024

VADA: a Data-Driven Simulator for Nanopore Sequencing.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminium-Exchanged Zeolites.

[BibT_eX]

[DOI]

Marko Petkovic

José Manuel Vicent-Luna

Sofía Calero

CoRR, 2024

Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations.

[BibT_eX]

[DOI]

Simon Martinus Koop

Mark A. Peletier

Jacobus Willem Portegies

Proceedings of the Northern Lights Deep Learning Conference, 2024

Equivariant Parameter Sharing for Porous Crystalline Materials.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Node Classification in Random Trees.

[BibT_eX]

[DOI]

Wouter W. L. Nuijten

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Agile Design-Space Exploration of Dynamic Layer-Skipping in Neural Receivers.

[BibT_eX]

[DOI]

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023

Supervised learning of process discovery techniques using graph neural networks.

[BibT_eX]

[DOI]

Dominique Sommers

Dirk Fahland

Inf. Syst., May, 2023

Description Generation using Variational Auto-Encoders for precursor microRNA.

[BibT_eX]

[DOI]

Marko Petkovic

CoRR, 2023

KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates.

[BibT_eX]

[DOI]

CoRR, 2023

Equivariant Networks for Porous Crystalline Materials.

[BibT_eX]

[DOI]

CoRR, 2023

Comparison of neural closure models for discretised PDEs.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2023

Enhancing Adversarial Training via Reweighting Optimization Trajectory.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Sparsity Is Channel-Level Sparsity Learner.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations.

[BibT_eX]

[DOI]

Loek Tonnaer

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Direction-aggregated Attack for Transferable Adversarial Examples.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2022

Towards Learned Simulators for Cell Migration.

[BibT_eX]

[DOI]

Koen Minartz

Yoeri Poels

CoRR, 2022

Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training.

[BibT_eX]

[DOI]

Shiwei Liu

CoRR, 2022

Superposing many tickets into one: A performance booster for sparse neural network training.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Hop-Count Based Self-supervised Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.

[BibT_eX]

[DOI]

Zhangyang Wang

Shiwei Liu

Proceedings of the Learning on Graphs Conference, 2022

Semantic-Based Few-Shot Classification by Psychometric Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Simulation of Scientific Experiments with Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs.

[BibT_eX]

[DOI]

Yoeri Poels

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Quantifying and Learning Linear Symmetry-Based Disentanglement.

[BibT_eX]

[DOI]

Loek Tonnaer

Luis Armando Pérez Rey

Jim Portegies

Proceedings of the International Conference on Machine Learning, 2022

2021

Efficient and effective training of sparse recurrent neural networks.

[BibT_eX]

[DOI]

Shiwei Liu

Iftitahu Ni'mah

Neural Comput. Appl., 2021

Semantic-Based Few-Shot Learning by Interactive Psychometric Testing.

[BibT_eX]

[DOI]

CoRR, 2021

On Generalization of Graph Autoencoders with Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Process Discovery Using Graph Neural Networks.

[BibT_eX]

[DOI]

Dominique Sommers

Dirk Fahland

Proceedings of the 3rd International Conference on Process Mining, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Hierarchical Semantic Segmentation using Psychometric Learning.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Marijn van Knippenberg

Proceedings of the Asian Conference on Machine Learning, 2021

calibrated adversarial training.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

2020

A Metric for Linear Symmetry-Based Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2020

Quantifying and Learning Disentangled Representations with Limited Supervision.

[BibT_eX]

[DOI]

CoRR, 2020

Bridging the Performance Gap between FGSM and PGD Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2020

Explaining Predictions by Approximating the Local Decision Boundary.

[BibT_eX]

[DOI]

Georgios Vlassopoulos

Tim van Erven

Henry Brighton

CoRR, 2020

Causal Discovery from Incomplete Data: A Deep Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Pedestrian orientation dynamics from high-fidelity measurements.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge Elicitation Using Deep Metric Learning and Psychometric Testing.

[BibT_eX]

[DOI]

Lu Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Diffusion Variational Autoencoders.

[BibT_eX]

[DOI]

Luis A. Pérez Rey

Jim Portegies

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Evaluation of CNN Performance in Semantically Relevant Latent Spaces.

[BibT_eX]

[DOI]

Jeroen van Doorenmalen

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Complex Vehicle Routing with Memory Augmented Neural Networks.

[BibT_eX]

[DOI]

Marijn van Knippenberg

Venkata Srikanth Nallanthighal

Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

Detection of Mild Dyspnea from Pairs of Speech Recordings.

[BibT_eX]

[DOI]

Sander M. Boelders

Aki Härmä

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Deep learning velocity signals allows to quantify turbulence intensity.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Iftitahu Ni'mah

CoRR, 2019

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

[BibT_eX]

[DOI]

Niels Hellinga

CoRR, 2019

VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance.

[BibT_eX]

[DOI]

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Anomaly Detection for Visual Quality Control of 3D-Printed Products.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Stampnet: Unsupervised Multi-Class Object Discovery.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

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

[BibT_eX]

[DOI]

Michiel Verburg

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Extended 2D Scene Image-Based 3D Scene Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

The Role of Deep Learning in Improving Healthcare.

[BibT_eX]

[DOI]

Nazly Rocio Santos Buitrago

Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

2018

Anomaly Detection for imbalanced datasets with Deep Generative Models.

[BibT_eX]

[DOI]

Loek Tonnaer

Dimitrios Mavroeidis

CoRR, 2018

Deep Learning in Information Security.

[BibT_eX]

[DOI]

Milan Petkovic

CoRR, 2018

Shunting Trains with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Evolutionary Construction of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Marijn van Knippenberg

Sergio Consoli

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Deep Metric Learning for Sequential Data Using Approximate Information.

[BibT_eX]

[DOI]

Milan Petkovic

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Understanding anatomy classification through attentive response maps.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Unsupervised Signature Extraction from Forensic Logs.

[BibT_eX]

[DOI]

Milan Petkovic

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

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

[BibT_eX]

[DOI]

Alessandro Corbetta

Federico Toschi

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Understanding Anatomy Classification Through Visualization.

[BibT_eX]

[DOI]

Devinder Kumar

CoRR, 2016

2015

Network analysis on Skype end-to-end video quality.

[BibT_eX]

[DOI]

Int. J. Pervasive Comput. Commun., 2015

Can Pretrained Neural Networks Detect Anatomy?

[BibT_eX]

[DOI]

CoRR, 2015

Computational Inference and Control of Quality in Multimedia Services

[BibT_eX]

[DOI]

Springer, ISBN: 978-3-319-24792-2, 2015

2013

Skype Resilience to High Motion Videos.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2013

Instantaneous Video Quality Assessment for lightweight devices.

[BibT_eX]

[DOI]

Luciana Cagnetta

Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia, 2013

Intelligent control for adaptive video streaming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics, 2013

2012

Adaptive psychometric scaling for video quality assessment.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2012

Quality of experience management for video streams: the case of Skype.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia, 2012

Video quality degradation on IPTV networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2012

2011

The Value of Relative Quality in Video Delivery.

[BibT_eX]

[DOI]

J. Mobile Multimedia, 2011

Can Skype be used beyond video calling?

[BibT_eX]

[DOI]

Proceedings of the MoMM'2011, 2011

Tackling the Sheer Scale of Subjective QoE.

[BibT_eX]

[DOI]

Proceedings of the Mobile Multimedia Communications - 7th International ICST Conference, 2011

2010

Quality of Experience Models for Multimedia Streaming.

[BibT_eX]

[DOI]

Antonio Cuadra Sánchez

Int. J. Mob. Comput. Multim. Commun., 2010

Machine Learning Approach for Quality of Experience Aware Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Intelligent Networking and Collaborative Systems, 2010

2009

Predicting quality of experience in multimedia streaming.

[BibT_eX]

[DOI]

Adetola Oredope

Antonio Cuadra Sánchez

Proceedings of the MoMM'2009, 2009

2008

AI Model for Computer games based on Case Based Reasoning and AI Planning.

[BibT_eX]

[DOI]