Design Editing for Offline Model-based Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Yuan, Ye, Zhang, Youyuan, Chen, Can, Wu, Haolun, Li, Zixuan, Li, Jianmo, Clark, James J., Liu, Xue |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Training Diffusion Language Models for Black-Box Optimization
por: Sun, Zipeng, et al.
Publicado: (2026)
por: Sun, Zipeng, et al.
Publicado: (2026)
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design
por: Hu, Xiuyuan, et al.
Publicado: (2025)
por: Hu, Xiuyuan, et al.
Publicado: (2025)
ParetoFlow: Guided Flows in Multi-Objective Optimization
por: Yuan, Ye, et al.
Publicado: (2024)
por: Yuan, Ye, et al.
Publicado: (2024)
Diffusion Large Language Models for Black-Box Optimization
por: Yuan, Ye, et al.
Publicado: (2026)
por: Yuan, Ye, et al.
Publicado: (2026)
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
por: Hu, Xiuyuan, et al.
Publicado: (2025)
por: Hu, Xiuyuan, et al.
Publicado: (2025)
MolEdit: Knowledge Editing for Multimodal Molecule Language Models
por: Lei, Zhenyu, et al.
Publicado: (2025)
por: Lei, Zhenyu, et al.
Publicado: (2025)
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
por: Luo, Junliang, et al.
Publicado: (2025)
por: Luo, Junliang, et al.
Publicado: (2025)
Guided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials
por: Yang, Yanyan, et al.
Publicado: (2024)
por: Yang, Yanyan, et al.
Publicado: (2024)
Learning Satellite Pattern-of-Life Identification: A Diffusion-based Approach
por: Ye, Yongchao, et al.
Publicado: (2024)
por: Ye, Yongchao, et al.
Publicado: (2024)
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
por: Liu, Bo, et al.
Publicado: (2024)
por: Liu, Bo, et al.
Publicado: (2024)
Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
por: Luo, Junliang, et al.
Publicado: (2025)
por: Luo, Junliang, et al.
Publicado: (2025)
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
por: Pourkamali-Anaraki, Farhad, et al.
Publicado: (2024)
por: Pourkamali-Anaraki, Farhad, et al.
Publicado: (2024)
Large and Deep Factor Models
por: Kelly, Bryan, et al.
Publicado: (2024)
por: Kelly, Bryan, et al.
Publicado: (2024)
Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
por: Sarker, Apurba
Publicado: (2024)
por: Sarker, Apurba
Publicado: (2024)
KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology
por: Xing, Wei W., et al.
Publicado: (2024)
por: Xing, Wei W., et al.
Publicado: (2024)
Rectified Flow For Structure Based Drug Design
por: Zhang, Daiheng, et al.
Publicado: (2024)
por: Zhang, Daiheng, et al.
Publicado: (2024)
A Reward-Directed Diffusion Framework for Generative Design Optimization
por: Keramati, Hadi, et al.
Publicado: (2025)
por: Keramati, Hadi, et al.
Publicado: (2025)
FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios
por: Wu, Yingqian, et al.
Publicado: (2025)
por: Wu, Yingqian, et al.
Publicado: (2025)
Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
por: Chen, Zijun, et al.
Publicado: (2024)
por: Chen, Zijun, et al.
Publicado: (2024)
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
por: Song, Zhenqiao, et al.
Publicado: (2025)
por: Song, Zhenqiao, et al.
Publicado: (2025)
DADO -- Low-Cost Query Strategies for Deep Active Design Optimization
por: Decke, Jens, et al.
Publicado: (2023)
por: Decke, Jens, et al.
Publicado: (2023)
Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure
por: Shatarah, Mohamed, et al.
Publicado: (2025)
por: Shatarah, Mohamed, et al.
Publicado: (2025)
AI-Driven Performance-to-Design Generation and Optimization of Marine Propellers
por: Chen, Leah, et al.
Publicado: (2026)
por: Chen, Leah, et al.
Publicado: (2026)
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
por: Zhang, Hengrui, et al.
Publicado: (2024)
por: Zhang, Hengrui, et al.
Publicado: (2024)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
por: Li, Yuante, et al.
Publicado: (2025)
por: Li, Yuante, et al.
Publicado: (2025)
A parametric framework for kernel-based dynamic mode decomposition using deep learning
por: Kevopoulos, Konstantinos, et al.
Publicado: (2024)
por: Kevopoulos, Konstantinos, et al.
Publicado: (2024)
Environment-Adaptive Preference Optimization for Wildfire Prediction
por: Jiang, Enyi, et al.
Publicado: (2026)
por: Jiang, Enyi, et al.
Publicado: (2026)
Input Convex Lipschitz Recurrent Neural Networks for Robust and Efficient Process Modeling and Optimization
por: Wang, Zihao, et al.
Publicado: (2024)
por: Wang, Zihao, et al.
Publicado: (2024)
SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models
por: Polat, Can, et al.
Publicado: (2026)
por: Polat, Can, et al.
Publicado: (2026)
Deep Reinforcement Learning for Modelling Protein Complexes
por: Gao, Ziqi, et al.
Publicado: (2024)
por: Gao, Ziqi, et al.
Publicado: (2024)
FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
por: Li, Pingzhi, et al.
Publicado: (2026)
por: Li, Pingzhi, et al.
Publicado: (2026)
Generative Aerodynamic Design with Diffusion Probabilistic Models
por: Wagenaar, Thomas, et al.
Publicado: (2024)
por: Wagenaar, Thomas, et al.
Publicado: (2024)
Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
por: Khan, Shahroz, et al.
Publicado: (2024)
por: Khan, Shahroz, et al.
Publicado: (2024)
Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
por: Lei, Yu, et al.
Publicado: (2025)
por: Lei, Yu, et al.
Publicado: (2025)
Constraining Generative Models for Engineering Design with Negative Data
por: Regenwetter, Lyle, et al.
Publicado: (2023)
por: Regenwetter, Lyle, et al.
Publicado: (2023)
ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model
por: Fan, Chuanliu, et al.
Publicado: (2025)
por: Fan, Chuanliu, et al.
Publicado: (2025)
Graph Diffusion Policy Optimization
por: Liu, Yijing, et al.
Publicado: (2024)
por: Liu, Yijing, et al.
Publicado: (2024)
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
por: Liu, Dingkun, et al.
Publicado: (2025)
por: Liu, Dingkun, et al.
Publicado: (2025)
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
por: Seurin, Paul, et al.
Publicado: (2023)
por: Seurin, Paul, et al.
Publicado: (2023)
Offline Materials Optimization with CliqueFlowmer
por: Kuba, Jakub Grudzien, et al.
Publicado: (2026)
por: Kuba, Jakub Grudzien, et al.
Publicado: (2026)
Ejemplares similares
-
Training Diffusion Language Models for Black-Box Optimization
por: Sun, Zipeng, et al.
Publicado: (2026) -
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design
por: Hu, Xiuyuan, et al.
Publicado: (2025) -
ParetoFlow: Guided Flows in Multi-Objective Optimization
por: Yuan, Ye, et al.
Publicado: (2024) -
Diffusion Large Language Models for Black-Box Optimization
por: Yuan, Ye, et al.
Publicado: (2026) -
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
por: Hu, Xiuyuan, et al.
Publicado: (2025)