Achievements

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Total 68, list per page:

Paper
  1. Parallel Quantum Trajectories via Forking for Sampling without Redundancy

    New Journal of Physics / / 2019 / Rhee, June-Koo / KIAI > AI Emergings

  2. Longer Distance Continuous Variable Quantum Key Distribution Protocol with Photon Subtraction at the Receiver

    Quantum Information Processing / / 2019 / Rhee, June-Koo / KIAI > AI Emergings

  3. Circuit-Based Quantum Random Access Memory for Classical Data

    Scientific Reports / / 2019 / Rhee, June-Koo / KIAI > AI Emergings

  4. Neurostimulation Reveals Context-Dependent Arbitration Between Model-Based and Model-Free Reinforcement Learning

    Cerebral Cortex / / 2019 / Lee, Sang Wan / KIAI > AI Emergings

  5. Decision-making in Brains and Robots - The Case for an Interdisciplinary Approach

    Current Opinion in Behavioral Sciences / / 2019 / Lee, Sang Wan / KIAI > AI Emergings

  6. Toward High-performance, Memory-efficient, and Fast Reinforcement Learning-lessons from Decision Neuroscience

    Science Robotics / / 2019 / Lee, Sang Wan / KIAI > AI Emergings

  7. The Function of PLCγ1 in Developing Mouse mDA System

    Advances in Biological Regulation / / 2019 / Kim, Daesoo / KIAI > AI Emergings

  8. βPix Heterozygous Mice Have Defects in Neuronal Morphology and Social Interaction

    Biochemical and Biophysical Research Communications / / 2019 / Kim, Daesoo / KIAI > AI Emergings

  9. Dentate Granule and Mossy Cells Exhibit Distinct Spatiotemporal Responses to Local Change in a One-dimensional Landscape of Visual-tactile Cue

    Scientific Reports / / 2019 / Kim, Daesoo / KIAI > AI Emergings

  10. Egocentrically-stable Discriminative Stimulus-based Spatial Navigation in Mice: Implementation and Comparison with Allocentric Cues

    Scientific Reports / / 2019 / Kim, Daesoo / KIAI > AI Emergings

  11. Rapid, Biphasic CRF Neuronal Responses Encode Positive and Negative Valence

    Nature Neuroscience / / 2019 / Kim, Daesoo / KIAI > AI Emergings

  12. Mumford-Shah Loss Functional for Image Segmentation with Deep Learning

    IEEE Transactions on Image Processing / / 2019 / Ye, JongChul / KIAI > AI Applications

  13. Deep Learning Diffuse Optical Tomography

    IEEE Transactions on Medical Imaging / / 2019 / Ye, JongChul / KIAI > AI Applications

  14. K‐space Deep Learning for Reference‐free EPI Ghost Correction

    Magnetic Resonance in Medicine / / 2019 / Ye, JongChul / KIAI > AI Applications

  15. K-space Deep Learning for Accelerated MRI

    IEEE Transactions on Medical Imaging / / 2019 / Ye, JongChul / KIAI > AI Applications

  16. Endometrium Segmentation on Transvaginal Ultrasound Image using Key-point Discriminator

    Medical Physics / / 2019 / Ro, Yong Man / KIAI > AI Applications

  17. Measurement of an Analyte Concentration in Test Solution by Using Helmholtz Resonator for Biosensor Applications

    Sensors / / 2019 / Park, Yong-Hwa / KIAI > AI Applications

  18. Unsupervised Learning of a Deep Neural Network for Metal Artifact Correction Using Dual‐polarity Readout Gradients

    Magnetic Resonance in Medicine / / 2019 / Park, Hyun Wook / KIAI > AI Applications

  19. Maximizing MapReduce Job Speed and Reliability in the Mobile Cloud by Optimizing Task Allocation

    Pervasive and Mobile Computing / / 2019 / Lee, Jae-Gil / KIAI > AI Applications

  20. Recurrent Reconstructive Network for Sequential Anomaly Detection

    IEEE Transactions on Cybernetics / / 2019 / Kim, Jong-Hwan / KIAI > AI Applications

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