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Maxim Ziatdinov

Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries

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Dec 24, 2024
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Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors

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Oct 08, 2024
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Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments

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Oct 03, 2024
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Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data

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May 17, 2024
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Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities

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Feb 20, 2024
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Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy

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Oct 08, 2023
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Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability

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Aug 17, 2023
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Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis

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Feb 08, 2023
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Microscopy is All You Need

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Oct 12, 2022
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Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach

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Jun 30, 2022
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