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ORCIDClément Chadebec
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2020 – today
- 2024
[i8]Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin:
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. CoRR abs/2406.02347 (2024)- 2023
- [b1]Clément Chadebec:
Modeling the latent space of variational autoencoders. (Modélisation et structuration de l'espace latent des auto-encodeurs variationnels). Paris Cité University, France, 2023 - [j1]Clément Chadebec
, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière:
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2879-2896 (2023) - [i7]Clément Chadebec, Stéphanie Allassonnière:
Variational Inference for Longitudinal Data Using Normalizing Flows. CoRR abs/2303.14220 (2023) - [i6]Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière:
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis. CoRR abs/2305.11832 (2023) - 2022
- [c4]Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten:
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI 2022: 55-64 - [c3]Clément Chadebec, Stéphanie Allassonnière:
A Geometric Perspective on Variational Autoencoders. NeurIPS 2022 - [c2]Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière:
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. NeurIPS 2022 - [i5]Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière:
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. CoRR abs/2206.08309 (2022) - [i4]Clément Chadebec, Stéphanie Allassonnière:
A Geometric Perspective on Variational Autoencoders. CoRR abs/2209.07370 (2022) - 2021
- [c1]Clément Chadebec, Stéphanie Allassonnière:
Data Augmentation with Variational Autoencoders and Manifold Sampling. DGM4MICCAI/DALI@MICCAI 2021: 184-192 - [i3]Clément Chadebec, Stéphanie Allassonnière:
Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE. CoRR abs/2103.13751 (2021) - [i2]Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière:
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. CoRR abs/2105.00026 (2021) - 2020
- [i1]Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière:
Geometry-Aware Hamiltonian Variational Auto-Encoder. CoRR abs/2010.11518 (2020)
Coauthor Index
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