About
Maciej Zięba is a research scientist at Tooploox and an Associate Professor at Wroclaw University of Science and Technology, where he received a Ph.D. degree in computer science and a master's degree in economics. He also obtained a master's degree in computer science at Blekinge Institute of Technology in Sweden. In 2017, he was a visiting scholar at the University of Wollongong (Australia). His research is directed towards deep learning, especially generative models and representation learning. He was the co-author of a variable number of research papers published in influential journals and presented at the top ML conferences, including NeurIPS, AAAI, ICML, and ICLR.
Research Interests
Education
DSc (habilitation), computer science
Wroclaw University of Science and Technology · 2021
PosDoc
University of Wollongong (Australia) · 2017
Doctor of Philosophy - PhD, Computer Science
Wroclaw University of Science and Technology · 2014
Master of Engineering - MEng, Computer Science
Blekinge Tekniska Högskola (Sweden) · 2010
Master of Engineering - MEng, Comupter Science
Wroclaw University of Science and Technology · 2009
Publications
Metric learning networks for accurate mineral detection with different augmentation techniques
2026 · Expert Systems with Applications 304
MultiPlaneNeRF: Neural radiance field with non-trainable representation
2025 · Expert Systems with Applications 279
Image Enhancement with Boosted Schrodinger Bridge
2025 · ACIIDS (2) 2025
Amodal Instance Segmentation for Mealworm Growth Monitoring Using Synthetic Training Images
2025 · IEEE Access 13
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields
2025 · DSAA 2025
Hypernetworks for image recontextualization
2025 · UniReps (PMLR 285)
KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation
2025 · CVPR 2025
Classifier-Free Guidance with Adaptive Scaling
2025 · ECAI 2025
Neural Surface Priors for Editable Gaussian Splatting
2025 · IJCNN 2025
SupResDiffGAN: A New Approach for the Super-Resolution Task
2025 · ICCS Workshops 3 (2025)
MineCam: Application of Combined Remote Sensing and ML for Mining Areas
2024 · Remote Sensing 16(6)
Speech driven video editing via an audio-conditioned diffusion model
2024 · Image and Vision Computing 142
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
2024 · WACV 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
2024 · ECAI 2024
Modeling 3D Surfaces with a Locally Conditioned Atlas
2024 · ICCS (2) 2024
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering
2024 · ICCS (1) 2024
Multi-Label Conditional Generation From Pre-Trained Models
2024 · IEEE TPAMI 46(9)
Dimma: Semi-Supervised Low-Light Image Enhancement with Adaptive Dimming
2024 · Entropy 26(9)
NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data
2024 · Entropy 26(7)
Self-supervised Adversarial Masking for 3D Point Cloud Representation Learning
2024 · ACIIDS (2) 2024
A Comparative Analysis of Siamese Networks and SAM for Mineral Detection
2024 · IGARSS 2024
TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression
2023 · ECAI 2023
HyperShot: Few-Shot Learning by Kernel HyperNetworks
2023 · WACV 2023
CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Assessment
2023 · MICCAI 2023
Classical OOD Detection Methods Benchmark in Text Classification Tasks
2023 · ACL SRW 2023
Continual learning on 3D point clouds with random compressed rehearsal
2023 · CVIU 228
Flow Plugin Network for Conditional Generation
2023 · ACIIDS 2023
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows
2023 · ICDM Workshops 2023
PluGeN: multi-label conditional generation from pre-trained models
2022 · *Proceedings of the 36th AAAI Conference on Artificial Intelligence : February 22 - March 1, 2022 : virtual conferece*
Representing point clouds with generative conditional invertible flow networks
2021 · *Pattern Recognition Letters*
General hypernetwork framework for creating 3D point clouds
2021 · *IEEE Transactions on Pattern Analysis and Machine Intelligence*
Non-Gaussian Gaussian processes for few-shot regression
2021 · *Advances in Neural Information Processing Systems : 35th Conference on Neural Information Processing Systems, NeurIPS 2021 : Virtual-only Conference, December 06-14, 2021*
Post-training quantization methods for deep learning models
2020 · *Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings. Pt. 1*
Semi-supervised representation learning for 3D point clouds
2020 · *Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings. Pt. 1*
Comparison of aggregation functions for 3D point clouds classification
2020 · *Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings. Pt. 1*
Adversarial autoencoders for compact representations of 3D point clouds
2020 · *Computer Vision and Image Understanding*
Hypernetwork approach to generating point clouds
2020 · *Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event*
UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree
2020 · *Advances in Neural Information Processing Systems : 34th Conference on Neural Information Processing Systems, NeurIPS 2020 : Vancouver Convention Center, Vancouver, Canada, December 06-12, 2020*
Generative modeling in application to point cloud completion
2020 · *Artificial intelligence and soft computing : 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020 : proceedings. Pt. 1*
Semi-supervised learning with Bidirectional GANs
2019 · *Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019 : proceedings. Pt. 1*
Generative Adversarial Networks: recent developments
2019 · *Artificial Intelligence and Soft Computing : 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019 : proceedings. Pt. 1*
Conditional invertible flow for point cloud generation
2019
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
2018 · *Advances in Neural Information Processing Systems : 32nd Conference on Neural Information Processing Systems, NeurIPS 2018 : Montreal, Canada December 02-08, 2018*
NMRNet: a deep learning approach to automated peak picking of protein NMR spectra
2018 · *Bioinformatics*
Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra
2018 · *Applied Soft Computing*
Beta-Boosted Ensemble for Big Credit Scoring Data
2018 · *Handbook of Big Data Analytics*
Training triplet networks with GAN
2017
Preface
2017
Self-paced learning for imbalanced data
2016 · *Intelligent Information and Database Systems : 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016 : proceedings. Pt. 1*
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
2016 · *Expert Systems with Applications*
Classification restricted Boltzmann machine for comprehensible credit scoring model
2015 · *Expert Systems with Applications*
Boosted SVM with active learning strategy for imbalanced data
2015 · *Soft Computing*
RBM-SMOTE: restricted Boltzmann machines for synthetic minority oversampling technique
2015 · *Intelligent Information and Database Systems : 7th Asian Conference, ACIIDS 2015, Bali, Indonesia, March 23-25, 2015 : proceedings. Pt. 1*
Probabilistic combination of classification rules and its application to medical diagnosis
2015 · *Machine Learning*
Asking right questions basing on incomplete data using restricted Boltzmann machines
2014 · *Information systems architecture and technology : systems analysis approach to the design, control and decision support*
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
2014 · *Applied Soft Computing*
Cost sensitive SVM with non-informative examples elimination for imbalanced postoperative risk management problem
2014 · *Advances in Systems Science : proceedings of the International Conference on Systems Science 2013 (ICSS 2013)*
Zespoły klasyfikatorów SVM dla danych niezbalansowanych
2014
Ensemble SVM for imbalanced data
2014 · *Advances in Computational Intelligence : XVIII International Conference on Systems Science, ICSS 2013 : poster session*
Service-oriented medical system for supporting decisions with missing and imbalanced data
2014 · *IEEE Journal of Biomedical and Health Informatics*
Selecting right guestions with restricted Boltzmann Machines
2014 · *Progress in systems engineering : proceedings of the Twenty-Third International Conference on Systems Engineering*
Indukcja reguł dla danych niekompletnych i niezbalansowanych: modele klasyfikatorów i próba ich zastosowania do predykcji ryzyka operacyjnego w torakochirurgii
2014 · *Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Taksonomia*
On-line Bayesian context change detection in Web service systems
2013 · *4th ACM/SPEC International Conference on Performance Engineering, ICPE 2013 : HotTopiCS 2013 Proceedings, Prague, Czech Republic, April 20–21, 2013.*
Ensemble SVM for imbalanced data and missing values in postoperative risk management
2013 · *2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013, Lisbon, Portugal, 9-12 October, 2013.*
Modele eksploracji danych niezbilansowanych - procedury klasyfikacji dla zadania analizy ryzyka operacyjnego
2013 · *Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Taksonomia*
Ensemble classifier for solving credit scoring problems
2012 · *Technological innovation for value creation*
Approximate Bayesian model comparison for change detection in Web service systems
2012
Ensemble decision trees
2012 · *LAP Lambert Academic Publishing*
Analiza porównawcza wybranych technik eksploracji danych do klasyfikacji danych medycznych z brakującymi obserwacjami
2012 · *Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Taksonomia*
Sposób przetwarzania danych i układ do przetwarzania danych.
2012
Services merging, splitting and execution in systems based on service oriented architecture paradigm
2012 · *Human - computer systems interaction : backgrounds and applications 2. Pt. 1*
The proposal of Service Oriented Data Mining System for solving real-life classification and regression problems
2011 · *Technological innovation for sustainability : second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, Costa de Caparica, Portugal, November 21-23, 2011 : proceedings*
Ensemble Methods for customer classification in service oriented systems
2011 · *Information systems architecture and technology : service oriented networked systems*
On some method for limited services selection
2011 · *International Journal of Intelligent Information and Database Systems*
Analysis of human arm motions recognition algorithms for system to visualize virtual arm
2011 · *ICSEng 2011 : [21st] International Conference on Systems Engineering : proceedings, 16-18 August, 2011, Las Vegas, Nevada*
Multistage neural networks :
2010 · *LAP Lambert Academic Publishing*
Various methods of combining classifiers for ensemble algorithms
2010 · *Applications of systems science*
Services recommendation in systems based on Service Oriented Architecture by applying modified ROCK algorithm
2010 · *Networked digital technologies : second international conference, NDT 2010, Prague, Czech Republic, July 7-9, 2010 : proceedings. Pt. 2*
Performance of classifiers for missing data in thoracic surgery risk modelling using WEKA-based data mining approaches
2010 · *Information systems architecture and technology : IT models in management process*
The proposal of a complex service for user profile management in SOA based system
2010 · *Information systems architecture and technology : networks and networks' services*
The framework of the SOA based system for services access management
2010 · *Information systems architecture and technology : networks and networks' services*
Two-stage writer identification using complex neural network system
2009
Multistage parallel processing of connections in the network node: simulation model
2008 · *Information systems architecture and technology : designing, development and implementation of information systems*
Typical motifs of the e-mail based social networks
2008 · *Information systems architecture and technology designing, development and implementation of information systems*