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04/05/2023
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments
Optimization of experimental materials synthesis and characterization th...
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03/30/2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Electron, optical, and scanning probe microscopy methods are generating ...
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10/12/2022
Microscopy is All You Need
We pose that microscopy offers an ideal real-world experimental environm...
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05/30/2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
Recent progress in machine learning methods, and the emerging availabili...
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03/18/2022
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning
Active learning methods are rapidly becoming the integral component of a...
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05/24/2021
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries
The proliferation of optical, electron, and scanning probe microscopies ...
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04/20/2021
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
A shift-invariant variational autoencoder (shift-VAE) is developed as an...
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07/07/2020
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Salient object detection in complex scenes and environments is a challen...
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03/15/2018
