Przemyslaw Spurek

Pawel M. Morkisz

Samuel Rodriguez Bernabeu

Expert Syst. Appl., 2024

Gaussian model for closed curves.

[BibT_eX]

[DOI]

Krzysztof Byrski

Expert Syst. Appl., 2024

FreSh: Frequency Shifting for Accelerated Neural Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Make Interval Bound Propagation great again.

[BibT_eX]

[DOI]

CoRR, 2024

MiraGe: Editable 2D Images using Gaussian Splatting.

[BibT_eX]

[DOI]

Joanna Waczynska

Tomasz Szczepanik

Thomas Bohné

CoRR, 2024

GASP: Gaussian Splatting for Physic-Based Simulations.

[BibT_eX]

[DOI]

CoRR, 2024

GeoGuide: Geometric guidance of diffusion models.

[BibT_eX]

[DOI]

Mateusz Poleski

CoRR, 2024

NegGS: Negative Gaussian Splatting.

[BibT_eX]

[DOI]

CoRR, 2024

HyperInterval: Hypernetwork approach to training weight interval regions in continual learning.

[BibT_eX]

[DOI]

CoRR, 2024

D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup.

[BibT_eX]

[DOI]

Joanna Waczynska

Joanna Kaleta

CoRR, 2024

ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting.

[BibT_eX]

[DOI]

Georgii Stanishevskii

Jakub Steczkiewicz

Tomasz Szczepanik

CoRR, 2024

HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation.

[BibT_eX]

[DOI]

Pawel Batorski

Dawid Malarz

Marcin Mazur

CoRR, 2024

GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting.

[BibT_eX]

[DOI]

Joanna Waczynska

CoRR, 2024

Face Identity-Aware Disentanglement in StyleGAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

Modeling 3D Surfaces with a Locally Conditioned Atlas.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population.

[BibT_eX]

[DOI]

Ivan Kostiuk

Przemyslaw Stachura

IEEE Trans. Games, December, 2023

The general framework for few-shot learning by kernel HyperNetworks.

[BibT_eX]

[DOI]

Marcin Sendera

Mach. Vis. Appl., July, 2023

Gaussian Splatting with NeRF-based Color and Opacity.

[BibT_eX]

[DOI]

Dawid Malarz

Weronika Smolak

CoRR, 2023

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy.

[BibT_eX]

[DOI]

CoRR, 2023

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning.

[BibT_eX]

[DOI]

Kamil Ksiazek

CoRR, 2023

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation.

[BibT_eX]

[DOI]

CoRR, 2023

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering.

[BibT_eX]

[DOI]

CoRR, 2023

HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN.

[BibT_eX]

[DOI]

CoRR, 2023

HyperShot: Few-Shot Learning by Kernel HyperNetworks.

[BibT_eX]

[DOI]

Marcin Sendera

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hypernetworks Build Implicit Neural Representations of Sounds.

[BibT_eX]

[DOI]

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

Bounding Evidence and Estimating Log-Likelihood in VAE.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

General Hypernetwork Framework for Creating 3D Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Target layer regularization for continual learning using Cramer-Wold distance.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Generative models with kernel distance in data space.

[BibT_eX]

[DOI]

Neurocomputing, 2022

LocoGAN - Locally convolutional GAN.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.

[BibT_eX]

[DOI]

CoRR, 2022

Hypernetwork approach to Bayesian MAML.

[BibT_eX]

[DOI]

Piotr Kubacki

Tomasz Kusmierczyk

CoRR, 2022

Points2NeRF: Generating Neural Radiance Fields from 3D point cloud.

[BibT_eX]

[DOI]

Dominik Zimny

CoRR, 2022

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks.

[BibT_eX]

[DOI]

CoRR, 2022

HyperPocket: Generative Point Cloud Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Nonlinear Weighted Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Continual Learning with Guarantees via Weight Interval Constraints.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Target Layer Regularization for Continual Learning Using Cramer-Wold Generator.

[BibT_eX]

[DOI]

CoRR, 2021

HyperCube: Implicit Field Representations of Voxelized 3D Models.

[BibT_eX]

[DOI]

CoRR, 2021

Flow-based SVDD for anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2021

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population.

[BibT_eX]

[DOI]

Ivan Kostiuk

Przemyslaw Stachura

CoRR, 2021

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas.

[BibT_eX]

[DOI]

CoRR, 2021

End-to-End Sinkhorn Autoencoder With Noise Generator.

[BibT_eX]

[DOI]

IEEE Access, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

[BibT_eX]

[DOI]

Massimiliano Patacchiola

Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data.

[BibT_eX]

[DOI]

Marcin Sendera

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Continual Learning of 3D Point Cloud Generators.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Cramer-Wold Auto-Encoder.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

J. Mach. Learn. Res., 2020

RegFlow: Probabilistic Flow-based Regression for Future Prediction.

[BibT_eX]

[DOI]

Maciej Zieba

CoRR, 2020

Flow-based anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2020

HyperFlow: Representing 3D Objects as Surfaces.

[BibT_eX]

[DOI]

CoRR, 2020

WICA: nonlinear weighted ICA.

[BibT_eX]

[DOI]

CoRR, 2020

Non-linear ICA Based on Cramer-Wold Metric.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Spatial Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Processing of Incomplete Images by (Graph) Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hypernetwork approach to generating point clouds.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Projected memory clustering.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Online updating of active function cross-entropy clustering.

[BibT_eX]

[DOI]

Krzysztof Byrski

Pattern Anal. Appl., 2019

SVM with a neutral class.

[BibT_eX]

[DOI]

Marek Smieja

Pattern Anal. Appl., 2019

Geometric Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Independent Component Analysis based on multiple data-weighting.

[BibT_eX]

[DOI]

CoRR, 2019

One-element Batch Training by Moving Window.

[BibT_eX]

[DOI]

CoRR, 2019

Sliced generative models.

[BibT_eX]

[DOI]

CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Fast independent component analysis algorithm with a simple closed-form solution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Lossy compression approach to subspace clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Deep processing of structured data.

[BibT_eX]

[DOI]

CoRR, 2018

Cramer-Wold AutoEncoder.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

CoRR, 2018

Processing of missing data by neural networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

ICA based on asymmetry.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

R Package CEC.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Active function Cross-Entropy Clustering.

[BibT_eX]

[DOI]

Krzysztof Byrski

Expert Syst. Appl., 2017

General split gaussian Cross-Entropy clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

Split-and-merge Tweak in Cross Entropy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computer Information Systems and Industrial Management, 2017

2016

Clustering of Gaussian distributions.

[BibT_eX]

[DOI]

Wieslaw Palka

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Introduction to Cross-Entropy Clustering The R Package CEC.

[BibT_eX]

[DOI]

CoRR, 2015

Cross-Entropy Clustering Approach to One-Class Classification.

[BibT_eX]

[DOI]

Mateusz Wójcik

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

Cross-entropy clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Subspaces Clustering Approach to Lossy Image Compression.

[BibT_eX]

[DOI]

Marek Smieja

Krzysztof Misztal

Proceedings of the Computer Information Systems and Industrial Management, 2014

A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves.

[BibT_eX]

[DOI]

Proceedings of the Computer Information Systems and Industrial Management, 2014

2013

The memory center.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Detection of Disk-Like Particles in Electron Microscopy Images.

[BibT_eX]

[DOI]

Elzbieta Zajac

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Weighted Approach to Projective Clustering.

[BibT_eX]

[DOI]

Krzysztof Misztal

Proceedings of the Computer Information Systems and Industrial Management, 2013

2012

The memory centre

[BibT_eX]

[DOI]

CoRR, 2012

2011

k-means Approach to the Karhunen-Loeve Transform

[BibT_eX]

[DOI]

Krzysztof Misztal