Cyril de Bodt
Orcid: 0000-0003-2347-1756
According to our database1,
Cyril de Bodt
authored at least 26 papers
between 2017 and 2024.
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Online presence:
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Bibliography
2024
Investigating latent representations and generalization in deep neural networks for tabular data.
Neurocomputing, 2024
Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
Forget early exaggeration in t-SNE: early hierarchization preserves global structure.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
2023
Neurocomputing, 2023
Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like <i>t</i>-SNE and UMAP.
Neurocomputing, 2022
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP.
CoRR, 2022
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data.
Appl. Intell., 2022
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Neural Comput. Appl., 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations.
IEEE Trans. Neural Networks Learn. Syst., 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017