flow matching

Generating Highly Designable Proteins with Geometric Algebra Flow Matching NeurIPS 2024 Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems Interspeech 2024 Generative Pre-training for Speech with Flow Matching ICLR 2024 GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics NeurIPS 2024 Improving the Training of Rectified Flows NeurIPS 2024 LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation Interspeech 2024 Latent Space Editing in Transformer-Based Flow Matching AAAI 2024 Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion Interspeech 2024 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows NeurIPS 2024 Metric Flow Matching for Smooth Interpolations on the Data Manifold NeurIPS 2024 MusicFlow: Cascaded Flow Matching for Text Guided Music Generation ICML 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NeurIPS 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator NeurIPS 2024 Preference Alignment with Flow Matching NeurIPS 2024 Reflected Flow Matching ICML 2024 RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching ICML 2024 SE(3)-Stochastic Flow Matching for Protein Backbone Generation ICLR 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech Interspeech 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Switched Flow Matching: Eliminating Singularities via Switching ODEs ICML 2024 Theoretical guarantees in KL for Diffusion Flow Matching NeurIPS 2024 Trajectory Flow Matching with Applications to Clinical Time Series Modelling NeurIPS 2024 Variational Flow Matching for Graph Generation NeurIPS 2024