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12/02/2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
In the scope of "AI for Science", solving inverse problems is a longstan...
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07/27/2022
Atomic structure generation from reconstructing structural fingerprints
Data-driven machine learning methods have the potential to dramatically ...
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03/14/2021
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
Bayesian experimental design (BED) aims at designing an experiment to ma...
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03/14/2021
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models
Bayesian experimental design (BED) is to answer the question that how to...
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11/28/2020
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials
Topology optimization (TO) is a popular and powerful computational appro...
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08/10/2019
