Kishan Rajput
  • Bio
  • Papers
  • Talks
  • Service
  • Experience
  • Projects
  • Blogs
ESC

Searching...

No results found

↑↓ Navigate ↵ Select
Powered by Hugo Blox
  • Recent & Upcoming Talks
    • Continual Learning for Particle Accelerators
    • Towards a Robust Adaptive Digital Twin for Fusion Applications
    • Differential and Explainable Reinforcement Learning for Multi-objective Optimization in Particle Accelerators
    • Towards continual machine learning for your ever-changing accelerators
    • Harnessing the Power of Gradient Based Simulations for Multi-Objective Optimization in Particle Accelerators
    • Multi-objective Reinforcement Learning
    • Errant Beam Prognostics with Machine Leaning at SNS Accelerator
    • Composable Optimization and Control Toolkit for Scientific Applications
    • Machine Learning for Prognostics and Optimization of Particle Accelerators
    • Fault Prediction in Particle Accelerators
    • Machine Learning to Improve Accelerator Operation at SNS
    • Model up-keep with Continual Learning for Particle Accelerators
    • Uncertainty Quantification for Rare Events in Scientific Applications
    • Anomaly Detection and Online Data Quality Monitoring
    • Hydra - Layer-wise Relevance Propagation
  • Publications
    • Continual learning for particle accelerators
    • Uncertainty based online ensemble on non-stationary data for fusion science
    • Decode the workload: Training deep learning models for efficient compute cluster representation
    • Hydra: An AI-Based Framework for Interpretable and Portable Data Quality Monitoring
    • Towards continual machine learning for particle accelerators
    • Geometric GNNs for Charged Particle Tracking at GlueX
    • Toward an event-level analysis of hadron structure using differential programming
    • An Outlook Towards Deployable Continual Learning for Particle Accelerators
    • Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators
    • SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver
    • Explainable physics-based constraints on reinforcement learning for accelerator controls
    • Uncertainty guided online ensemble for non-stationary data streams in fusion science
    • Hydra: computer vision for data quality monitoring
    • Distance preserving machine learning for uncertainty aware accelerator capacitance predictions
    • AI4EIC Hackathon: PID with the ePIC dRICH
    • Robust errant beam prognostics with conditional modeling for particle accelerators
    • Artificial Intelligence for the Electron Ion Collider (AI4EIC)
    • Uncertainty aware deep learning for particle accelerators
    • Multi-module-based CVAE to predict HVCM faults in the SNS accelerator
    • Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex
    • Probabilistic Envelope based Visualization for Monitoring Drilling Well Data Logging
  • Projects
    • L3Kit (Coming Soon)
    • SMOCS (Coming Soon)
    • SOCT (Scientific Optimization Control Toolkit)
  • Slides
    • Example Talk: Recent Work
  • Experience
  • Blog
  • Professional Service

Anomaly Detection and Online Data Quality Monitoring

September 9, 2021·
admin
· 0 min read
Slides
Image credit: Kishan
Date
September 9, 2021 10:05 AM — 10:27 AM
Location

Virtual (USA)

Virtual,

events
Last updated on September 9, 2021
Particle Accelerator Machine Learning Anomaly Detection Computer Vision
Authors
admin
← Uncertainty Quantification for Rare Events in Scientific Applications January 1, 2022
Hydra - Layer-wise Relevance Propagation January 1, 2021 →

© 2026 Kishan Rajput

Made with Hugo Blox Kit. Clone this template →