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ORCIDRama K. Vasudevan
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2020 – today
- 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) - [i14]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) - [i13]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) - [i12]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) - [i11]Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu:
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR abs/2409.12295 (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) - [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
- [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) - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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
Coauthor Index
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