Clément Chadebec

According to our database, Clément Chadebec authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation.

Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin

CoRR, 2024

2023

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder.

Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Modeling the latent space of variational autoencoders. (Modélisation et structuration de l'espace latent des auto-encodeurs variationnels).

Clément Chadebec

PhD thesis, 2023

Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis.

Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière

CoRR, 2023

Variational Inference for Longitudinal Data Using Normalizing Flows.

Clément Chadebec, Stéphanie Allassonnière

CoRR, 2023

2022

Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case.

Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Geometric Perspective on Variational Autoencoders.

Clément Chadebec, Stéphanie Allassonnière

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories.

Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2021

Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE.

Clément Chadebec, Stéphanie Allassonnière

CoRR, 2021

Data Augmentation with Variational Autoencoders and Manifold Sampling.

Clément Chadebec, Stéphanie Allassonnière

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

Geometry-Aware Hamiltonian Variational Auto-Encoder.

Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière

CoRR, 2020