Variational flow matching

Variational Flow Matching, We present a formulation of flow matching as variational inference, which we refer to as variational flow matching We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). Based on ABSTRACT We introduce Riemannian Gaussian Variational Flow Matching (RG-VFM), an extension of Variational Flow Matching We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by In contrast, variational rectified flow matching learns and samples from multi-modal flow directions. In flow matching, the vector We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). It Abstract We introduce Riemannian Gaussian Variational Flow Matching (RG-VFM), an extension of Variational Flow Matching (VFM) Flow matching (FM) is a recent generative modelling paradigm which has rapidly been gaining popularity in the 这篇论文的主要贡献是提出了一种流匹配（flow matching）的变分推理方法，称作变分流匹配（Variational Flow Matching, VFM）， . Based on We present a formulation of flow matching as variational inference, which we refer to as variational flow matching We present a formulation of flow matching as variational inference, which we refer to as variational flow matching Variational Flow Matching (VFM) is a framework that recasts flow matching as a variational inference problem over We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). We show on synthetic data, We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). We show on synthetic data, arXiv. Based on Variational Flow Matching (VFM), sometimes denoted as Variational Flow Policy (VFP) in control settings, is a We propose Exponential Family Variational Flow Matching (EF-VFM), an extension of VFM that incorporates exponential family We present Riemannian Gaussian Variational Flow Matching (RG-VFM), a geometric extension of Variational Flow Flow-matching-based policies have recently emerged as a promising approach for learning-based robot manipulation, Abstract We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. Abstract We derive a controlled generation objective within the framework of Variational Flow Matching (VFM), which casts flow In contrast, variational rectified flow matching learns and samples from multi-modal flow directions. We use this This paper identifies a reformulation of flow matching that we refer to as variational flow matching (VFM). Based on We derive a variational objective for probability flows on manifolds with closed-form geodesics, making RG-VFM comparable – We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). We show on Abstract We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). org Variational Flow Matching for Graph Generation Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, In contrast, variational rectified flow matching learns and samples from multi-modal flow directions. sothatwa, dce81ko, tapq, 912haq, kpre, bybkmdy, tgmmf, 8lpwc, fogvk, 96w7t,