Kalvik Jakkala
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    • Fully Differentiable Adaptive Informative Path Planning
    • Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
    • Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
    • GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
    • Bayesian Sensor Placement for Multi-source Localization of Viruses in Wastewater Networks
    • Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
    • Deep Gaussian Processes: A Survey
    • STAR: Simultaneous Tracking and Recognition through Millimeter Waves and Deep Learning
    • Deep CSI Learning for Gait Biometric Sensing and Recognition
    • NeuralWave: Gait-Based User Identification Through Commodity WiFi and Deep Learning
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    • Tutorial on streaming sparse Gaussian processes
    • Conjugate-Computation Variational Inference (CVI)
    • Variational Gaussian approximation with only $O(N)$ free parameters
    • What is so natural about the seemingly unnatural "natural parameters"?
    • Tutorial on variational sparse Gaussian processes
    • Taxonomy of Key Sparse Gaussian Process Approaches
    • How to read an academic paper
      • Important Resources
    • Stochastic gradient Markov chain Monte Carlo (SGMCMC) methods
    • Tutorial on Gaussian Processes
    • Simultaneous Optimization of Assignments and Goal Formations for Multiple Robots with Variable Rotation, Scale and Translation
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How to read an academic paper

Dec 4, 2020·
Kalvik
· 1 min read

My process to effectively grasp the content of an academic paper.Untitled Diagram

Important Resources

  • Strunk & White: 11 Composition Principles
Last updated on Dec 4, 2020
Mind Map
← Taxonomy of Key Sparse Gaussian Process Approaches May 9, 2022
Stochastic gradient Markov chain Monte Carlo (SGMCMC) methods Oct 4, 2020 →

© 2024 Kalvik Jakkala. This work is licensed under CC BY NC ND 4.0

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