1 citations · 1 across the 4 of their papers we have counts for
4 papers
Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
Jiawen Li, Jiang Guo, Yuanzhe Li +9
Metamaterials are artificially engineered structures that manipulate electromagnetic waves, having optical properties absent in natural materials. Recently, machine learning for th…
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
Chen Liang, Diptesh Das, Jiang Guo +3
Solving black-box optimization problems with Ising machines is increasingly common in materials science. However, their application to crystal structure prediction (CSP) is still i…
Preference-Optimized Pareto Set Learning for Blackbox Optimization
Zhang Haishan, Diptesh Das, Koji Tsuda
Multi-Objective Optimization (MOO) is an important problem in real-world applications. However, for a non-trivial problem, no single solution exists that can optimize all the objec…
Feature Importance Measurement based on Decision Tree Sampling
Chao Huang, Diptesh Das, Koji Tsuda
Random forest is effective for prediction tasks but the randomness of tree generation hinders interpretability in feature importance analysis. To address this, we proposed DT-Sampl…