Rama K. Vasudevan

Orcid: 0000-0003-4692-8579

According to our database1, Rama K. Vasudevan authored at least 30 papers between 2017 and 2024.

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Bibliography

2024
Deep kernel methods learn better: from cards to process optimization.
Mach. Learn. Sci. Technol., March, 2024

Bias in Reinforcement Learning: A Review in Healthcare Applications.
ACM Comput. Surv., February, 2024

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

Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design.
CoRR, 2024

2023
Explainability and human intervention in autonomous scanning probe microscopy.
Patterns, November, 2023

Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease.
Manag. Sci., October, 2023

Adaptive sampling for accelerating neutron diffraction-based strain mapping <sup>*</sup>.
Mach. Learn. Sci. Technol., June, 2023

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials.
Patterns, March, 2023

Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach <sup>*</sup>.
Mach. Learn. Sci. Technol., March, 2023

Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities.
CoRR, 2023

Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy.
CoRR, 2023

A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments.
CoRR, 2023

2022
Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model.
Mach. Learn. Sci. Technol., December, 2022

Experimental discovery of structure-property relationships in ferroelectric materials via active learning.
Nat. Mach. Intell., 2022

Towards automating structural discovery in scanning transmission electron microscopy <sup>*</sup>.
Mach. Learn. Sci. Technol., 2022

Microscopy is All You Need.
CoRR, 2022

Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach.
CoRR, 2022

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning.
CoRR, 2022

2021
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.
IEEE J. Biomed. Health Informatics, 2021

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.
Sensors, 2021

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy <sup>*</sup>.
Mach. Learn. Sci. Technol., 2021

Propagation of priors for more accurate and efficient spectroscopic functional fits and their application to ferroelectric hysteresis.
Mach. Learn. Sci. Technol., 2021

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy.
CoRR, 2021

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy.
CoRR, 2021

Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021


2020
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening.
Mach. Learn. Sci. Technol., 2020

Off-the-shelf deep learning is not enough: parsimony, Bayes and causality.
CoRR, 2020

Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017
Advances of the development of a ferroelectric field-effect transistor on Ge(001).
Proceedings of the 2017 IEEE International Conference on IC Design and Technology, 2017


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