Publications related to SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

Text-to-Microstructure Generation Using Generative Deep Learning

Designing novel materials is greatly dependent on understanding the design principles, physical mechanisms, and modeling methods of material microstructures, requiring experienced designers with expertise and several rounds of trial and error. Although rec ...

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SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

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Text-to-Microstructure Generation Using Generative Deep Learning

Autorepression of yeast Hsp70 cochaperones by intramolecular interactions involving their J-domains

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Transportation-based functional ANOVA and PCA for covariance operators

Search for the lepton flavour violating decays B0 -> emu and B0s -> emu with LHCb Run 2 data

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Text-to-Microstructure Generation Using Generative Deep Learning

Autorepression of yeast Hsp70 cochaperones by intramolecular interactions involving their J-domains

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Transportation-based functional ANOVA and PCA for covariance operators

Search for the lepton flavour violating decays B0 -> emu and B0s -> emu with LHCb Run 2 data

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation