Valentin Delchevalerie

12 papers A* 1A 1B 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Industrial and medical anomaly detection through cycle-consistent adversarial networks. Neurocomputing Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2025	J	`jnl`	On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation. Trans. Mach. Learn. Res. Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas, Benoît Frénay
2025	J	`jnl`	Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models. CoRR Valentin Delchevalerie, Nicolas Roy, Arnaud Bougaham, Alexandre Mayer, Benoît Frénay, Michaël Lobet
2024	A	`conf`	Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. ECAI Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benoît Frénay, Bruno Dumas
2024	B	`conf`	From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images. ESANN Valentin Delchevalerie, Benoît Frénay, Alexandre Mayer
2024	J	`jnl`	On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation. CoRR Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas, Benoît Frénay
2023	J	`jnl`	DT-SNE: t-SNE discrete visualizations as decision tree structures. Neurocomputing Adrien Bibal, Valentin Delchevalerie, Benoît Frénay
2023	J	`jnl`	Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks. CoRR Arnaud Bougaham, Valentin Delchevalerie, Mohammed El Adoui, Benoît Frénay
2023	J	`jnl`	SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks. CoRR Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay
2021	B	`conf`	Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. IJCNN Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay
2021	A*	`conf`	Achieving Rotational Invariance with Bessel-Convolutional Neural Networks. NeurIPS Valentin Delchevalerie, Adrien Bibal, Benoît Frénay, Alexandre Mayer
2021	B	`conf`	Boundary-Based Fairness Constraints in Decision Trees and Random Forests. ESANN Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski