ICLR Poster "flow matching" Papers
17 papers found
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
Carles Domingo i Enrich, Michal Drozdzal, Brian Karrer et al.
AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
Hongyu Guo, Yoshua Bengio, Shengchao Liu
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou, Yilai Li, Jing Yuan et al.
Denoising with a Joint-Embedding Predictive Architecture
Chen Dengsheng, Jie Hu, Xiaoming Wei et al.
Diffusion Models and Gaussian Flow Matching: Two Sides of the Same Coin
Ruiqi Gao, Emiel Hoogeboom, Jonathan Heek et al.
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Dadi, Volkan Cevher et al.
FlowDec: A flow-based full-band general audio codec with high perceptual quality
Simon Welker, Matthew Le, Ricky T. Q. Chen et al.
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
Neta Shaul, Itai Gat, Marton Havasi et al.
Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim et al.
Linear combinations of latents in generative models: subspaces and beyond
Erik Bodin, Alexandru Stere, Dragos Margineantu et al.
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
Nayoung Kim, Seongsu Kim, Minsu Kim et al.
Multi-domain Distribution Learning for De Novo Drug Design
Arne Schneuing, Ilia Igashov, Adrian Dobbelstein et al.
Stiefel Flow Matching for Moment-Constrained Structure Elucidation
Austin H Cheng, Alston Lo, Kin Long Kelvin Lee et al.
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
Haowei Lin, Shanda Li, Haotian Ye et al.