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Design Synthesis
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis
Modeling Dislocation Dynamics Data Using Semantic Web Technologies
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Unsupervised Learning of Sampling Distributions for Particle Filters
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning
Diffusion Models Beat GANs on Topology Optimization
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design
CAD Based Design Optimization of Four-bar Mechanisms: a coronaventilator case study
Deep Generative Models in Engineering Design: A Review
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid
Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
A deep-learning view of chemical space designed to facilitate drug discovery
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