Lukasz Struski

Orcid: 0000-0003-4006-356X

According to our database1, Lukasz Struski authored at least 42 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy.
CoRR, 2023

SONGs: Self-Organizing Neural Graphs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

r-softmax: Generalized Softmax with Controllable Sparsity Rate.
Proceedings of the Computational Science - ICCS 2023, 2023

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ProPML: Probability Partial Multi-label Learning.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Bounding Evidence and Estimating Log-Likelihood in VAE.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

LocoGAN - Locally convolutional GAN.
Comput. Vis. Image Underst., 2022

ProPaLL: Probabilistic Partial Label Learning.
CoRR, 2022

MisConv: Convolutional Neural Networks for Missing Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HyperPocket: Generative Point Cloud Completion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Interpretable Image Classification with Differentiable Prototypes Assignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design.
J. Chem. Inf. Model., 2021

Efficient GPU implementation of randomized SVD and its applications.
CoRR, 2021

Flow-based SVDD for anomaly detection.
CoRR, 2021

SONG: Self-Organizing Neural Graphs.
CoRR, 2021

ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
A classification-based approach to semi-supervised clustering with pairwise constraints.
Neural Networks, 2020

ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.
CoRR, 2020

Flow-based anomaly detection.
CoRR, 2020

Pointed Subspace Approach to Incomplete Data.
J. Classif., 2020

Iterative Imputation of Missing Data Using Auto-Encoder Dynamics.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Spatial Graph Convolutional Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Processing of Incomplete Images by (Graph) Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Projected memory clustering.
Pattern Recognit. Lett., 2019

Generalized RBF kernel for incomplete data.
Knowl. Based Syst., 2019

Geometric Graph Convolutional Neural Networks.
CoRR, 2019

Independent Component Analysis based on multiple data-weighting.
CoRR, 2019

Interpolation in generative models.
CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Fast independent component analysis algorithm with a simple closed-form solution.
Knowl. Based Syst., 2018

Lossy compression approach to subspace clustering.
Inf. Sci., 2018

Deep processing of structured data.
CoRR, 2018

Cascade context encoder for improved inpainting.
CoRR, 2018

Processing of missing data by neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Semi-supervised model-based clustering with controlled clusters leakage.
Expert Syst. Appl., 2017

2016
Incomplete data representation for SVM classification.
CoRR, 2016

2012
Strict localization of eigenvectors and eigenvalues
CoRR, 2012


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