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ORCIDUtkarsh Pratiush
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2020 – today
- 2024
[c1]Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR 2024- [i10]Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin:
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. CoRR abs/2402.02198 (2024) - [i9]Utkarsh Pratiush, Kevin M. Roccapriore, Yongtao Liu, Gerd Duscher, Maxim A. Ziatdinov, Sergei V. Kalinin:
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS. CoRR abs/2404.07381 (2024) - [i8]Yu Liu, Utkarsh Pratiush, Jason Bemis, Roger Proksch, Reece Emery, Philip D. Rack, Yu-Chen Liu, Jan-Chi Yang, Stanislav Udovenko, Susan Trolier-McKinstry, Sergei V. Kalinin:
Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation. CoRR abs/2405.12300 (2024) - [i7]Utkarsh Pratiush, Austin Houston, Sergei V. Kalinin, Gerd Duscher:
Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope. CoRR abs/2406.11018 (2024) - [i6]Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin:
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. CoRR abs/2408.00229 (2024) - [i5]Yu Liu, RogerProksch, Jason Bemis, Utkarsh Pratiush, Astita Dubey, Mahshid Ahmadi, Reece Emery, Philip D. Rack, Yu-Chen Liu, Jan-Chi Yang, Sergei V. Kalinin:
Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Towards Fully Automated Microscopy. CoRR abs/2408.04055 (2024) - [i4]Kamyar Barakati, Utkarsh Pratiush, Austin Houston, Gerd Duscher, Sergei V. Kalinin:
Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments. CoRR abs/2409.12462 (2024) - 2023
- [i3]Utkarsh Pratiush
, Arshed Nabeel, Vishwesha Guttal, Prathosh AP:
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. CoRR abs/2303.09906 (2023) - [i2]Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan:
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. CoRR abs/2310.02428 (2023) - [i1]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)
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