3 papers
stat.ML2024
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr Moufad, Yazid Janati, Lisa Bedin +4
Diffusion models have recently shown considerable potential in solving Bayesian inverse problems when used as priors. However, sampling from the resulting denoising posterior distr…
cs.LG2024
ReALLM: A general framework for LLM compression and fine-tuning
Louis Leconte, Lisa Bedin, Van Minh Nguyen +1
We introduce ReALLM, a novel approach for compression and memory-efficient adaptation of pre-trained language models that encompasses most of the post-training quantization and fin…
eess.SP2023
Bayesian ECG reconstruction using denoising diffusion generative models
Gabriel V. Cardoso, Lisa Bedin, Josselin Duchateau +2
In this work, we propose a denoising diffusion generative model (DDGM) trained with healthy electrocardiogram (ECG) data that focuses on ECG morphology and inter-lead dependence. O…