Clément Chadebec

19 papers A* 3Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast, faithful and photorealistic diffusion-based image super-resolution with enhanced Flow Map models. CoRR Maxence Noble, Gonzalo Iñaki Quintana, Benjamin Aubin, Clément Chadebec
2025	A*	`conf`	Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. AAAI Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin
2025	J	`jnl`	LBM: Latent Bridge Matching for Fast Image-to-Image Translation. CoRR Clément Chadebec, Onur Tasar, Sanjeev Sreetharan, Benjamin Aubin
2025	J	`jnl`	MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets. J. Open Source Softw. Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière
2024	J	`jnl`	Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data. CoRR Onur Tasar, Clément Chadebec, Benjamin Aubin
2024	J	`jnl`	Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. CoRR Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin
2023	J	`jnl`	Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
2023	J	`jnl`	Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis. CoRR Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière
2023	—	`—`	Modeling the latent space of variational autoencoders. (Modélisation et structuration de l'espace latent des auto-encodeurs variationnels). Clément Chadebec
2023	J	`jnl`	Variational Inference for Longitudinal Data Using Normalizing Flows. CoRR Clément Chadebec, Stéphanie Allassonnière
2022	A*	`conf`	A Geometric Perspective on Variational Autoencoders. NeurIPS Clément Chadebec, Stéphanie Allassonnière
2022	J	`jnl`	A Geometric Perspective on Variational Autoencoders. CoRR Clément Chadebec, Stéphanie Allassonnière
2022	—	`conf`	An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten
2022	A*	`conf`	Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. NeurIPS Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière
2022	J	`jnl`	Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. CoRR Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière
2021	J	`jnl`	Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. CoRR Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
2021	—	`conf`	Data Augmentation with Variational Autoencoders and Manifold Sampling. DGM4MICCAI/DALI@MICCAI Clément Chadebec, Stéphanie Allassonnière
2021	J	`jnl`	Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE. CoRR Clément Chadebec, Stéphanie Allassonnière
2020	J	`jnl`	Geometry-Aware Hamiltonian Variational Auto-Encoder. CoRR Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière