Rama K. Vasudevan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Gaussian Process

Electron Microscopy

Reinforcement Learning

Sensor Technology

Top Venues

Mach. Learn. Sci. Technol.

Publications

Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Deep kernel methods learn better: from cards to process optimization. Mach. Learn. Sci. Technol. 5 (1) (2024)
Arpan Biswas, Sai Mani Prudhvi Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities. CoRR (2024)
Benjamin Smith, Anahita Khojandi, Rama K. Vasudevan
Bias in Reinforcement Learning: A Review in Healthcare Applications. ACM Comput. Surv. 56 (2) (2024)
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning. CoRR (2024)
Yongtao Liu, Marti Checa, Rama K. Vasudevan
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design. CoRR (2024)
Matt Baucum, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease. Manag. Sci. 69 (10) (2023)
S. V. Venkatakrishnan, Chris M. Fancher, Maxim A. Ziatdinov, Rama K. Vasudevan, Kyle Saleeby, James Haley, Dunji Yu, Ke An, Alex Plotkowski
. Mach. Learn. Sci. Technol. 4 (2) (2023)
Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities. CoRR (2023)
Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy. CoRR (2023)
Yongtao Liu, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin
Explainability and human intervention in autonomous scanning probe microscopy. Patterns 4 (11) (2023)
Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
. Mach. Learn. Sci. Technol. 4 (1) (2023)
Yongtao Liu, Anna N. Morozovska, Eugene A. Eliseev, Kyle P. Kelley, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials. Patterns 4 (3) (2023)
Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments. CoRR (2023)
Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Deep Kernel Methods Learn Better: From Cards to Process Optimization. CoRR (2023)
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov, Sergei V. Kalinin
Experimental discovery of structure-property relationships in ferroelectric materials via active learning. Nat. Mach. Intell. 4 (4) (2022)
Maxim A. Ziatdinov, Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Sergei V. Kalinin
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning. CoRR (2022)
Rama K. Vasudevan, Erick Orozco, Sergei V. Kalinin
Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model. Mach. Learn. Sci. Technol. 3 (4) (2022)
Nicole Creange, Ondrej Dyck, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
. Mach. Learn. Sci. Technol. 3 (1) (2022)
Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. CoRR (2022)
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
Microscopy is All You Need. CoRR (2022)
Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC (2021)
Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy. CoRR (2021)
Yongtao Liu, Rama K. Vasudevan, Kyle K. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
. Mach. Learn. Sci. Technol. 2 (4) (2021)
Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin, Nageswara S. V. Rao, Christopher Brumgard, Feiyi Wang, Olga Kuchar, Arjun Shankar, Ben Mintz, Elke Arenholz, J. Robert Michael, Sarp Oral
Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery. SMC (2021)
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Fatta B. Nahab, Ritesh A. Ramdhani
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology. Sensors 21 (10) (2021)
Sergei V. Kalinin, Maxim A. Ziatdinov, Jacob D. Hinkle, Stephen Jesse, Ayana Ghosh, Kyle P. Kelley, Andrew R. Lupini, Bobby G. Sumpter, Rama K. Vasudevan
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy. CoRR (2021)
Nicole Creange, Kyle P. Kelley, C. Smith, D. Sando, O. Paull, N. Valanoor, S. Somnath, S. Jesse, Sergei V. Kalinin, Rama K. Vasudevan
Propagation of priors for more accurate and efficient spectroscopic functional fits and their application to ferroelectric hysteresis. Mach. Learn. Sci. Technol. 2 (4) (2021)
Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. EMBC (2020)
M. P. Oxley, Junqi Yin, N. Borodinov, Suhas Somnath, Maxim A. Ziatdinov, Andrew R. Lupini, Stephen Jesse, Rama K. Vasudevan, Sergei V. Kalinin
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening. Mach. Learn. Sci. Technol. 1 (4) (2020)
Rama K. Vasudevan, Maxim A. Ziatdinov, Lukas Vlcek, Sergei V. Kalinin
Off-the-shelf deep learning is not enough: parsimony, Bayes and causality. CoRR (2020)
Patrick Ponath, Agham B. Posadas, Yuan Ren, Xiaoyu Wu, Keji Lai, Alex Demkov, Michael Schmidt, Ray Duffy, Paul K. Hurley, Jian Wang, Chadwin D. Young, Rama K. Vasudevan, M. Baris Okatan, Stephen Jesse, Sergei V. Kalinin
Advances of the development of a ferroelectric field-effect transistor on Ge(001). ICICDT (2017)