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   Articles with "flow matching" as a keyword



FlowBack: A Generalized Flow-Matching Approach for Biomolecular Backmapping

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recommendations! Published in 2025 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.4c02046

Abstract: Coarse-grained models have become ubiquitous in biomolecular modeling tasks aimed at studying slow dynamical processes such as protein folding and DNA hybridization. These models can considerably accelerate sampling but it remains challenging to accurately and… read more here.

Keywords: flow matching; distribution; coarse grained; dna protein ... See more keywords

Flow-Matching: Efficient Coarse-Graining of Molecular Dynamics without Forces.

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recommendations! Published in 2022 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.3c00016

Abstract: Coarse-grained (CG) molecular simulations have become a standard tool to study molecular processes on time and length scales inaccessible to all-atom simulations. Parametrizing CG force fields to match all-atom simulations has mainly relied on force-matching… read more here.

Keywords: flow matching; efficient coarse; force matching; matching efficient ... See more keywords

Tokenized Generative Speech Enhancement With Language Model and Flow Matching

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3589128

Abstract: We propose a novel generative speech enhancement (SE) framework that integrates a language model (LM) and a flow-matching model. To utilize an LM with discrete tokens, we introduce dMel, which discretizes Mel spectrograms into a… read more here.

Keywords: flow matching; language model; language; generative speech ... See more keywords

Semantic-Guided Flow Matching for Fast and Accurate Remote Sensing Image Super-Resolution

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3608455

Abstract: Current diffusion-based super-resolution methods for remote sensing images face two critical limitations: 1) excessive computational demands due to iterative sampling and 2) semantic inconsistency in reconstructed images caused by stochastic denoising. To address these challenges,… read more here.

Keywords: flow matching; remote sensing; semantic guided; guided flow ... See more keywords