:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiaohan, Berger, Matthew
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.06804
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MacroGuide: Topological Guidance for Macrocycle Generation
by: Maksymiuk, Alicja, et al.
Published: (2026)

Parameter-Efficient Generative Modeling with Controlled Vector Fields
by: Morteza, Peyman
Published: (2026)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
by: Zhu, Yuanshao, et al.
Published: (2024)

Model Guidance via Robust Feature Attribution
by: Ghitu, Mihnea, et al.
Published: (2025)

Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
by: Wang, Xiaohan, et al.
Published: (2025)

Prompt Smells: An Omen for Undesirable Generative AI Outputs
by: Ronanki, Krishna, et al.
Published: (2024)

Feature Space Topology Control via Hopkins Loss
by: Vaaras, Einari, et al.
Published: (2025)

Colored Markov Random Fields for Probabilistic Topological Modeling
by: Marinucci, Lorenzo, et al.
Published: (2025)

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
by: Patel, Maitreya, et al.
Published: (2024)

Logic-Guided Vector Fields for Constrained Generative Modeling
by: Baheri, Ali
Published: (2026)

Generative Topological Networks
by: Levy-Jurgenson, Alona, et al.
Published: (2024)

Autoencoding Dynamics: Topological Limitations and Capabilities
by: Kvalheim, Matthew D., et al.
Published: (2025)

SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
by: Zou, Xuecheng, et al.
Published: (2026)

Topology-aware Generalization of Decentralized SGD
by: Zhu, Tongtian, et al.
Published: (2022)

SOM-VQ: Topology-Aware Tokenization for Interactive Generative Models
by: Londei, Alessandro, et al.
Published: (2026)

Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning
by: Lin, ZiXin, et al.
Published: (2025)

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)

Anatomica: Localized Control over Geometric and Topological Properties for Anatomical Diffusion Models
by: Kadry, Karim, et al.
Published: (2025)

Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy
by: Long, Yunbo, et al.
Published: (2025)

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
by: Zhao, Jiachi, et al.
Published: (2025)

Controlling Topological Defects in Polar Fluids via Reinforcement Learning
by: Singh, Abhinav, et al.
Published: (2025)

Mitigating Label Noise on Graph via Topological Sample Selection
by: Wu, Yuhao, et al.
Published: (2024)

Topology Aware Neural Interpolation of Scalar Fields
by: Kissi, Mohamed, et al.
Published: (2025)

PFlow-T: A Persistence-Driven Forward Process for Topology-Controlled Generation
by: Khilar, Snigdha Chandan
Published: (2026)

Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)

TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
by: Wongso, Wilson, et al.
Published: (2026)

Deep Learning on Graphs for Mobile Network Topology Generation
by: Meli, Felix Nannesson, et al.
Published: (2025)

Topology-aware Robust Optimization for Out-of-distribution Generalization
by: Qiao, Fengchun, et al.
Published: (2023)

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
by: Singh, Sukhdeep, et al.
Published: (2024)

On the Topology Awareness and Generalization Performance of Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)

Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes
by: Ferguson, Kevin, et al.
Published: (2024)

Efficient Controllable Diffusion via Optimal Classifier Guidance
by: Oertell, Owen, et al.
Published: (2025)

Adaptive Diffusion Guidance via Stochastic Optimal Control
by: Azangulov, Iskander, et al.
Published: (2025)

Topological Signatures of Grokking
by: Tang, Yifan, et al.
Published: (2026)

From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning
by: Feng, Chao, et al.
Published: (2025)

Learning Geometry and Topology via Multi-Chart Flows
by: Yu, Hanlin, et al.
Published: (2025)

TOPCELL: Topology Optimization of Standard Cell via LLMs
by: Song, Zhan, et al.
Published: (2026)

LUMINA: Foundation Models for Topology Transferable ACOPF
by: Li, Yijiang, et al.
Published: (2026)

T2T-LA: A Topology-to-Topology LLM Agent for Graph Learning with Neither Feature Access nor Task Knowledge
by: Wang, Yongyu
Published: (2025)

Interpretable Policy Distillation for Power Grid Topology Control
by: Dmitruka, Aleksandra, et al.
Published: (2026)