All Stories

  1. DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning

    Article • August 2024, ACM (Association for Computing Machinery)

    Erik Blasch, Yang Weng

  2. Patterns of Radio Frequency Propagation

    Article • January 2024, American Institute of Aeronautics and Astronautics (AIAA)

    Erik Blasch

  3. Intrinsic-Motivated Sensor Management

    Article • August 2022, ACM (Association for Computing Machinery)

    Erik Blasch, Yang Weng

  4. Deep Learning Thermal Image Translation for Night Vision Perception

    Article • ACM Transactions on Intelligent Systems and Technology, February 2021, ACM (Association for Computing Machinery)

    Erik Blasch

  5. Covariance Estimation and Gaussianity Assessment for State and Measurement Noise

    Article • Journal of Guidance Control and Dynamics, January 2020, American Institute of Aeronautics and Astronautics (AIAA)

    Jindrich Dunik, Erik Blasch

  6. Aviation Noise-Pollution Mitigation Through Redesign of Aircraft Departures

    Article • Journal of Aircraft, September 2019, American Institute of Aeronautics and Astronautics (AIAA)

    Erik Blasch, Vladimir Smrz

  7. A joint manifold leaning-based framework for heterogeneous upstream data fusion

    Article • Journal of Algorithms & Computational Technology, August 2018, SAGE Publications

    Erik Blasch