Marek Smieja

Orcid: 0000-0003-2027-4132

According to our database1, Marek Smieja authored at least 65 papers between 2012 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Multi-Label Conditional Generation From Pre-Trained Models.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation.
J. Chem. Inf. Model., March, 2024

RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets.
CoRR, 2024

Face Identity-Aware Disentanglement in StyleGAN.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Deep Cut Into Split Federated Self-Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Zero time waste in pre-trained early exit neural networks.
Neural Networks, November, 2023

Augmentation-aware Self-supervised Learning with Guided Projector.
CoRR, 2023

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

Contrastive Hierarchical Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ChiENN: Embracing Molecular Chirality with Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

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

Hebbian Continual Representation Learning.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

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

SLOVA: Uncertainty estimation using single label one-vs-all classifier.
Appl. Soft Comput., 2022

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

Semi-supervised clustering via information-theoretic markov chain aggregation.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., 2021

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

Semi-Supervised Clustering via Markov Chain Aggregation.
CoRR, 2021

Flow-based SVDD for anomaly detection.
CoRR, 2021

SONG: Self-Organizing Neural Graphs.
CoRR, 2021

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks.
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.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

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

RegFlow: Probabilistic Flow-based Regression for Future Prediction.
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

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

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

SVM with a neutral class.
Pattern Anal. Appl., 2019

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

Efficient mixture model for clustering of sparse high dimensional binary data.
Data Min. Knowl. Discov., 2019

Biologically-Inspired Spatial Neural Networks.
CoRR, 2019

Geometric Graph Convolutional Neural Networks.
CoRR, 2019

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder.
CoRR, 2019

Multi-task hypernetworks.
CoRR, 2019

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

Hypernetwork Functional Image Representation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

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

Semi-supervised discriminative clustering with graph regularization.
Knowl. Based Syst., 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 cross-entropy clustering with information bottleneck constraint.
Inf. Sci., 2017

R Package CEC.
Neurocomputing, 2017

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

Constrained clustering with a complex cluster structure.
Adv. Data Anal. Classif., 2017

2016
Incomplete data representation for SVM classification.
CoRR, 2016

Fast Entropy Clustering of sparse high dimensional binary data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Weighted approach to general entropy function.
IMA J. Math. Control. Inf., 2015

Entropy Approximation in Lossy Source Coding Problem.
Entropy, 2015

Introduction to Cross-Entropy Clustering The R Package CEC.
CoRR, 2015

Spherical wards clustering and generalized Voronoi diagrams.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Subspaces Clustering Approach to Lossy Image Compression.
Proceedings of the Computer Information Systems and Industrial Management, 2014

2013
Image Segmentation with Use of Cross-Entropy Clustering.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012
Entropy of the Mixture of Sources and Entropy Dimension.
IEEE Trans. Inf. Theory, 2012

Partition Reduction for Lossy Data Compression Problem
CoRR, 2012

Weighted Approach to Rényi Entropy
CoRR, 2012


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