Lukasz Maziarka

Orcid: 0000-0001-6947-8131

According to our database1, Lukasz Maziarka authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Relative molecule self-attention transformer.
J. Cheminformatics, December, 2024

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

tsGT: Stochastic Time Series Modeling With Transformer.
CoRR, 2024

2023
Extended study on atomic featurization in graph neural networks for molecular property prediction.
J. Cheminformatics, December, 2023

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

On the Relationship Between Disentanglement and Multi-task Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

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

HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Flow-based SVDD for anomaly detection.
CoRR, 2021

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multitask Learning Using BERT with Task-Embedded Attention.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Mol-CycleGAN: a generative model for molecular optimization.
J. Cheminformatics, 2020

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction.
CoRR, 2020

Flow-based anomaly detection.
CoRR, 2020

Molecule Attention Transformer.
CoRR, 2020

Non-linear ICA Based on Cramer-Wold Metric.
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
Geometric Graph Convolutional Neural Networks.
CoRR, 2019

Multi-task hypernetworks.
CoRR, 2019

LOSSGRAD: automatic learning rate in gradient descent.
CoRR, 2019

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

Mol-CycleGAN - A Generative Model for Molecular Optimization.
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

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
Deep processing of structured data.
CoRR, 2018


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