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Rama K. Vasudevan
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Journal Articles
- 2024
- [j15]Benjamin Smith
, Anahita Khojandi
, Rama K. Vasudevan
:
Bias in Reinforcement Learning: A Review in Healthcare Applications. ACM Comput. Surv. 56(2): 52:1-52:17 (2024) - [j14]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): 15012 (2024) - 2023
- [j13]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): 5964-5982 (2023) - [j12]Arpan Biswas
, Rama K. Vasudevan
, Maxim A. Ziatdinov
, Sergei V. Kalinin:
Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach *. Mach. Learn. Sci. Technol. 4(1): 15011 (2023) - [j11]S. V. Venkatakrishnan
, Chris M. Fancher
, Maxim A. Ziatdinov
, Rama K. Vasudevan
, Kyle Saleeby
, James Haley
, Dunji Yu
, Ke An
, Alex Plotkowski:
Adaptive sampling for accelerating neutron diffraction-based strain mapping *. Mach. Learn. Sci. Technol. 4(2): 25001 (2023) - [j10]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): 100704 (2023) - [j9]Yongtao Liu
, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin:
Explainability and human intervention in autonomous scanning probe microscopy. Patterns 4(11): 100858 (2023) - 2022
- [j8]Nicole Creange
, Ondrej Dyck, Rama K. Vasudevan
, Maxim A. Ziatdinov
, Sergei V. Kalinin
:
Towards automating structural discovery in scanning transmission electron microscopy *. Mach. Learn. Sci. Technol. 3(1): 15024 (2022) - [j7]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): 4 (2022) - [j6]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): 341-350 (2022) - 2021
- [j5]Nicole Creange
, Kyle P. Kelley
, C. Smith, D. Sando, Oliver 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): 45002 (2021) - [j4]Yongtao Liu
, Rama K. Vasudevan
, Kyle K. 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 *. Mach. Learn. Sci. Technol. 2(4): 45028 (2021) - [j3]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): 3553 (2021) - [j2]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): 2273-2280 (2021) - 2020
- [j1]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): 04 (2020)
Conference and Workshop Papers
- 2021
- [c4]Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin
, Nageswara S. V. Rao, Christopher Brumgard, Feiyi Wang, Olga A. 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: 58-75 - [c3]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: 361-382 - 2020
- [c2]Jeremy Watts, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani:
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. EMBC 2020: 5406-5409 - 2017
- [c1]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: 1-3
Informal and Other Publications
- 2024
- [i13]Yongtao Liu, Marti Checa, Rama K. Vasudevan:
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design. CoRR abs/2401.13803 (2024) - [i12]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 abs/2402.13402 (2024) - [i11]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 abs/2404.12899 (2024) - 2023
- [i10]Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Deep Kernel Methods Learn Better: From Cards to Process Optimization. CoRR abs/2303.14554 (2023) - [i9]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 abs/2304.02484 (2023) - [i8]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 abs/2310.05018 (2023) - [i7]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 abs/2312.01291 (2023) - 2022
- [i6]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 abs/2205.15458 (2022) - [i5]Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. CoRR abs/2207.00128 (2022) - [i4]Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov:
Microscopy is All You Need. CoRR abs/2210.06526 (2022) - 2021
- [i3]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 abs/2103.12165 (2021) - [i2]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 abs/2104.10207 (2021) - 2020
- [i1]Rama K. Vasudevan, Maxim A. Ziatdinov, Lukas Vlcek, Sergei V. Kalinin:
Off-the-shelf deep learning is not enough: parsimony, Bayes and causality. CoRR abs/2005.01557 (2020)
Coauthor Index
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