Search Results - Evanusa, Matthew S.

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  1. 1
    SpikeMS: Deep Spiking Neural Network for Motion Segmentation

    SpikeMS: Deep Spiking Neural Network for Motion Segmentation by Parameshwara, Chethan M., Li, Simin, Fermuller, Cornelia, Sanket, Nitin J., Evanusa, Matthew S., Aloimonos, Yiannis

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  2. 2
    SpikeMS: Deep Spiking Neural Network for Motion Segmentation

    SpikeMS: Deep Spiking Neural Network for Motion Segmentation by Parameshwara, Chethan M, Li, Simin, Fermüller, Cornelia, Sanket, Nitin J, Evanusa, Matthew S, Aloimonos, Yiannis

    Published in arXiv.org
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  3. 3
    Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data

    Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data by Evanusa, Matthew, Shrestha, Snehesh, Patil, Vaishnavi, Fermüller, Cornelia, Girvan, Michelle, Aloimonos, Yiannis

    Published in SN computer science
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  4. 4
    Spatial abstraction for autonomous robot navigation

    Spatial abstraction for autonomous robot navigation by Epstein, Susan L., Aroor, Anoop, Evanusa, Matthew, Sklar, Elizabeth I., Parsons, Simon

    Published in Cognitive processing
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  5. 5
    Event-Based Attention and Tracking on Neuromorphic Hardware

    Event-Based Attention and Tracking on Neuromorphic Hardware by Renner, Alpha, Evanusa, Matthew, Sandamirskaya, Yulia

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  6. 6
    Maelstrom Networks

    Maelstrom Networks by Evanusa, Matthew, Fermüller, Cornelia, Aloimonos, Yiannis

    Published in arXiv.org
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  7. 7
    ProtoVAE: Prototypical Networks for Unsupervised Disentanglement

    ProtoVAE: Prototypical Networks for Unsupervised Disentanglement by Patil, Vaishnavi, Evanusa, Matthew, JaJa, Joseph

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  8. 8
    DOT-VAE: Disentangling One Factor at a Time

    DOT-VAE: Disentangling One Factor at a Time by Patil, Vaishnavi, Evanusa, Matthew, JaJa, Joseph

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  9. 9
    Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment

    Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment by Evanusa, Matthew, Fermüller, Cornelia, Aloimonos, Yiannis

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  10. 10
    A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP

    A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP by Evanusa, Matthew, Fermuller, Cornelia, Aloimonos, Yiannis

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  11. 11
    Event-based attention and tracking on neuromorphic hardware

    Event-based attention and tracking on neuromorphic hardware by Renner, Alpha, Evanusa, Matthew, Sandamirskaya, Yulia

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  12. 12
    Hybrid Backpropagation Parallel Reservoir Networks

    Hybrid Backpropagation Parallel Reservoir Networks by Evanusa, Matthew, Shrestha, Snehesh, Girvan, Michelle, Fermüller, Cornelia, Aloimonos, Yiannis

    Published in arXiv.org
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  13. 13
    Network Deconvolution

    Network Deconvolution by Ye, Chengxi, Evanusa, Matthew, He, Hua, Mitrokhin, Anton, Goldstein, Tom, Yorke, James A, Fermüller, Cornelia, Aloimonos, Yiannis

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