Cyril de Bodt

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Activity Patterns

Dimensionality Reduction

Discriminant Analysis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing 597 (2024)
Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez
-SNE with multi-scale neighborhood preservation. Neurocomputing 550 (2023)
Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
On the number of latent representations in deep neural networks for tabular data. ESANN (2023)
Anne-Sophie Collin, Cyril de Bodt, Dounia Mulders, Christophe De Vleeschouwer
Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection. ESANN (2023)
Pierre Lambert, John A. Lee, Edouard Couplet, Cyril de Bodt
Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. ESANN (2023)
Jérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert
Fine-tuning is not (always) overfitting artifacts. ESANN (2023)
Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR (2022)
Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
-SNE and UMAP. Neurocomputing 503 (2022)
Daniel López Sánchez, Cyril de Bodt, John A. Lee, Angélica González Arrieta, Juan M. Corchado
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. Appl. Intell. 52 (5) (2022)
Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt
Globally local and fast explanations of t-SNE-like nonlinear embeddings. CIKM Workshops (2022)
Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
Stochastic quartet approach for fast multidimensional scaling. ESANN (2021)
Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt
Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN (2021)
Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
Inference of node attributes from social network assortativity. Neural Comput. Appl. 32 (24) (2020)
Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
Perplexity-free Parametric t-SNE. CoRR (2020)
Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
Perplexity-free Parametric t-SNE. ESANN (2020)
Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee
Class-aware t-SNE: cat-SNE. ESANN (2019)
Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen
Tensor factorization to extract patterns in multimodal EEG data. ESANN (2019)
Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
Extensive assessment of Barnes-Hut t-SNE. ESANN (2018)
Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. LVA/ICA (2018)
Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP (6) (2018)
Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
Perplexity-free t-SNE and twice Student tt-SNE. ESANN (2018)
Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
Improving individual predictions using social networks assortativity. WSOM (2017)