Cyril de Bodt - RankMe

30 papers B 13Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving on early exaggeration in t -SNE: Early hierarchization better preserves global structure. Neurocomputing John A. Lee, Edouard Couplet, Pierre Lambert, Pierre Merveille, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2024	B	`conf`	Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. ESANN Pierre Lambert, Edouard Couplet, Cyril de Bodt, John A. Lee
2024	B	`conf`	Forget early exaggeration in t-SNE: early hierarchization preserves global structure. ESANN John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2024	J	`jnl`	Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2023	B	`conf`	Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection. ESANN Anne-Sophie Collin, Cyril de Bodt, Dounia Mulders, Christophe De Vleeschouwer
2023	B	`conf`	Fine-tuning is not (always) overfitting artifacts. ESANN Jérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert
2023	—	`conf`	Natively Interpretable t-SNE. PKDD/ECML Workshops (1) Edouard Couplet, Pierre Lambert, Michel Verleysen, Dounia Mulders, John A. Lee, Cyril de Bodt
2023	B	`conf`	Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. ESANN Pierre Lambert, John A. Lee, Edouard Couplet, Cyril de Bodt
2023	B	`conf`	On the number of latent representations in deep neural networks for tabular data. ESANN Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2023	J	`jnl`	Semi-supervised Neurocomputing Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro-Ángel Orozco-Gutiérrez
2022	J	`jnl`	Fast Multiscale Neighbor Embedding. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2022	—	`conf`	Globally local and fast explanations of t-SNE-like nonlinear embeddings. CIKM Workshops Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt
2022	J	`jnl`	SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like Neurocomputing Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2022	J	`jnl`	SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2022	J	`jnl`	Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. Appl. Intell. Daniel López Sánchez, Cyril de Bodt, John A. Lee, Angélica González Arrieta, Juan M. Corchado
2021	B	`conf`	Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt
2021	B	`conf`	Stochastic quartet approach for fast multidimensional scaling. ESANN Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2020	J	`jnl`	Inference of node attributes from social network assortativity. Neural Comput. Appl. Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
2020	B	`conf`	Perplexity-free Parametric t-SNE. ESANN Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	J	`jnl`	Perplexity-free Parametric t-SNE. CoRR Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	—	`—`	Robust and fast neighbor embedding algorithms. Cyril de Bodt
2019	B	`conf`	Class-aware t-SNE: cat-SNE. ESANN Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee
2019	J	`jnl`	Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations. IEEE Trans. Neural Networks Learn. Syst. Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee
2019	B	`conf`	Tensor factorization to extract patterns in multimodal EEG data. ESANN Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen
2018	B	`conf`	Extensive assessment of Barnes-Hut t-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2018	—	`conf`	Linear Periodic Discriminant Analysis of Multidimensional Signals. ICONIP (6) Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
2018	B	`conf`	Perplexity-free t-SNE and twice Student tt-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2018	—	`conf`	Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. LVA/ICA Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen
2017	—	`conf`	Improving individual predictions using social networks assortativity. WSOM Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye