Kishansingh Rajput

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Anomaly Detection

Distance Preserving

Top Venues

VISIGRAPP (3: IVAPP)

Mach. Learn. Sci. Technol.

Digit. Signal Process.

Publications

Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver. CoRR (2024)
Kishansingh Rajput, Malachi Schram, Willem Blokland, Yasir Alanazi, Pradeep Ramuhalli, Alexander Zhukov, Charles Peters, Ricardo Vilalta
Robust errant beam prognostics with conditional modeling for particle accelerators. Mach. Learn. Sci. Technol. 5 (1) (2024)
Thomas Britton, Torri Jeske, David Lawrence, Kishansingh Rajput
Hydra: Computer Vision for Data Quality Monitoring. CoRR (2024)
Kishansingh Rajput, Duong Binh Nguyen, Guoning Chen
Evaluating DTW Measures via a Synthesis Framework for Time-Series Data. CoRR (2024)
Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions. CoRR (2023)
Kishansingh Rajput, Malachi Schram, Willem Blokland, Yasir Alanazi, Pradeep Ramuhalli, Alexander Zhukov, Charles Peters, Ricardo Vilalta
Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators. CoRR (2023)
Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR (2023)
Kishansingh Rajput, Malachi Schram, N. S. Karthik Somayaji
Uncertainty Aware Deep Learning for Particle Accelerators. CoRR (2023)
Kishansingh Rajput, Guoning Chen
Probabilistic Envelope based Visualization for Monitoring Drilling Well Data Logging. VISIGRAPP (3: IVAPP) (2022)
Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. 130 (2022)
Willem Blokland, Pradeep Ramuhalli, Charles Peters, Yigit Yucesan, Alexander Zhukov, Malachi Schram, Kishansingh Rajput, Torri Jeske
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator. CoRR (2021)
Thomas Britton, David Lawrence, Kishansingh Rajput
AI Enabled Data Quality Monitoring with Hydra. CoRR (2021)