Kishan Rajput
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  • 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
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    • 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
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Hydra - Layer-wise Relevance Propagation

January 1, 2021·
admin
· 0 min read
Image credit: Kishan
Date
January 1, 2021 12:00 AM
Location

Newport News, VA

Newport News, VA,

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Last updated on January 1, 2021
Machine Learning Explainable AI Image Classification ML in Medical Sciences
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← Anomaly Detection and Online Data Quality Monitoring September 9, 2021

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