:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hou, Xiaoyang, Zhu, Tian, Ren, Milong, Bu, Dongbo, Gao, Xin, Zhang, Chunming, Sun, Shiwei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.05676
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flow Matching with Arbitrary Auxiliary Paths
by: Peng, Xin, et al.
Published: (2026)

Bures-Wasserstein Flow Matching for Graph Generation
by: Jiang, Keyue, et al.
Published: (2025)

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
by: Balcerak, Michal, et al.
Published: (2026)

Flowette: Flow Matching with Graphette Priors for Graph Generation
by: Wijesinghe, Asiri, et al.
Published: (2026)

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
by: Zhang, Cenwei, et al.
Published: (2026)

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
by: Shaul, Neta, et al.
Published: (2024)

Graph Neural Architecture Search with GPT-4
by: Wang, Haishuai, et al.
Published: (2023)

Training Free Guided Flow Matching with Optimal Control
by: Wang, Luran, et al.
Published: (2024)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
by: Gao, Kaiyuan, et al.
Published: (2024)

Improving Flow Matching by Aligning Flow Divergence
by: Huang, Yuhao, et al.
Published: (2026)

How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
by: Gao, Weiguo, et al.
Published: (2024)

Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)

Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit Compression
by: Cao, Tue M., et al.
Published: (2026)

Computing Approximate Graph Edit Distance via Optimal Transport
by: Cheng, Qihao, et al.
Published: (2024)

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
by: Arowolo, Olayiwola, et al.
Published: (2025)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
by: Zhang, Junru, et al.
Published: (2026)

Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
by: Liang, Jinhao, et al.
Published: (2025)

SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
by: Irwin, Ross, et al.
Published: (2024)

Flow Matching Ergodic Coverage
by: Sun, Max Muchen, et al.
Published: (2025)

Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
by: Gaur, Mudit, et al.
Published: (2025)

Controlled Generation with Equivariant Variational Flow Matching
by: Eijkelboom, Floor, et al.
Published: (2025)

Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
by: Chu, Xu, et al.
Published: (2025)

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning
by: Zhang, Danhui, et al.
Published: (2026)

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
by: Zhao, Zexing, et al.
Published: (2024)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
by: Balcerak, Michal, et al.
Published: (2025)

Analysis on distribution and clustering of weight
by: Ye, Chunming, et al.
Published: (2025)

Domain Generalization via Pareto Optimal Gradient Matching
by: Do, Khoi, et al.
Published: (2025)

PI-Mamba: Linear-Time Protein Backbone Generation via Spectrally Initialized Flow Matching
by: Wu, Tianyu, et al.
Published: (2026)

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
by: Zhang, Tianyu, et al.
Published: (2024)

Unsupervised Evolutionary Cell Type Matching via Entropy-Minimized Optimal Transport
by: Qiao, Mu
Published: (2025)

SGPT: Few-Shot Prompt Tuning for Signed Graphs
by: Zhai, Zian, et al.
Published: (2024)

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
by: Kong, Zitai, et al.
Published: (2025)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)

Graph Diffusion Transformers are In-Context Molecular Designers
by: Liu, Gang, et al.
Published: (2025)

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
by: Zhai, Zian, et al.
Published: (2025)

FlowRL: Matching Reward Distributions for LLM Reasoning
by: Zhu, Xuekai, et al.
Published: (2025)

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
by: Sun, Mingyang, et al.
Published: (2025)

A Kinetic Energy Perspective of Flow Matching
by: Li, Ziyun, et al.
Published: (2026)

Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)