DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals

DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals

26 May 2025

Fabrizio Gabellieri

Etienne Goffinet

Filippo Castiglione

Papers citing "DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals"

18 / 18 papers shown

Title
DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty Etienne Goffinet Sen Yan Fabrizio Gabellieri Laurence Jennings Lydia Gkoura Filippo Castiglione Ryan Young Idir Malki Ankita Singh Thomas Launey MedIm 57 0 0 06 Feb 2025
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.4K 13,167 0 27 Feb 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 262 30,123 0 01 Mar 2022
Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA Piotr Klukowski R. Riek P. Güntert 29 55 0 28 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 340 1,404 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 398 15,486 0 20 Dec 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Christoph Schuhmann Richard Vencu Romain Beaumont R. Kaczmarczyk Clayton Mullis Aarush Katta Theo Coombes J. Jitsev Aran Komatsuzaki VLM MLLM CLIP 212 1,425 0 03 Nov 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 61 631 0 30 Apr 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 136 1,455 0 21 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 569 18,008 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 385 10,591 0 17 Feb 2020
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning X. Qu Yihui Huang Hengfa Lu Tianyu Qiu D. Guo Tatiana Agback V. Orekhov Zhong Chen 30 144 0 09 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 555 10,551 0 12 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018
GANimation: Anatomically-aware Facial Animation from a Single Image Albert Pumarola Antonio Agudo Aleix M. Martinez Alberto Sanfeliu Francesc Moreno-Noguer CVBM GAN 58 585 0 24 Jul 2018
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 393 7,389 0 12 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 288 6,925 0 12 Mar 2015