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Matthew Evanusa
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Network deconvolution
C Ye, M Evanusa, H He, A Mitrokhin, T Goldstein, JA Yorke, C Fermüller, ...
arXiv preprint arXiv:1905.11926, 2019
462019
Event-based attention and tracking on neuromorphic hardware
M Evanusa, Y Sandamirskaya
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
372019
Learning spatial models for navigation
SL Epstein, A Aroor, M Evanusa, EI Sklar, S Parsons
Spatial Information Theory: 12th International Conference, COSIT 2015, Santa …, 2015
242015
SpikeMS: Deep spiking neural network for motion segmentation
CM Parameshwara, S Li, C Fermüller, NJ Sanket, MS Evanusa, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
182021
Navigation with Learned Spatial Affordances.
SL Epstein, A Aroor, M Evanusa, E Sklar, S Parsons
CogSci, 2015
122015
Spatial abstraction for autonomous robot navigation
SL Epstein, A Aroor, M Evanusa, EI Sklar, S Parsons
Cognitive processing 16, 215-219, 2015
82015
Spikems: Deep spiking neural network for motion segmentation. In 2021 IEEE
CM Parameshwara, S Li, C Fermüller, NJ Sanket, MS Evanusa, ...
RSJ International Conference on Intelligent Robots and Systems (IROS), 3414-3420, 0
7
Deep reservoir networks with learned hidden reservoir weights using direct feedback alignment
M Evanusa, C Fermüller, Y Aloimonos
ArXivorg, 2020
32020
Deep-readout random recurrent neural networks for real-world temporal data
M Evanusa, S Shrestha, V Patil, C Fermüller, M Girvan, Y Aloimonos
SN Computer Science 3 (3), 222, 2022
22022
A deep 2-dimensional dynamical spiking neuronal network for temporal encoding trained with STDP
M Evanusa, C Fermuller, Y Aloimonos
arXiv preprint arXiv:2009.00581, 2020
22020
Dot-vae: Disentangling one factor at a time
V Patil, M Evanusa, J JaJa
International Conference on Artificial Neural Networks, 109-120, 2022
12022
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks
MS Evanusa, V Patil, M Girvan, J Goodman, C Fermüller, Y Aloimonos
International Conference on Artificial Neural Networks, 140-151, 2023
2023
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement
V Patil, M Evanusa, J JaJa
arXiv preprint arXiv:2305.09092, 2023
2023
ProtoVAE: Using Prototypical Networks for Unsupervised Disentanglement
VS Patil, M Evanusa, J JaJa
2022
Disentangling One Factor at a Time
VS Patil, MS Evanusa, J JaJa
2021
Hybrid Backpropagation Parallel Reservoir Networks
M Evanusa, S Shrestha, M Girvan, C Fermüller, Y Aloimonos
arXiv preprint arXiv:2010.14611, 2020
2020
Event-based attention and tracking on neuromorphic hardware
A Renner, M Evanusa, Y Sandamirskaya
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
In Preparation for Joint Action
SL Epstein, M Evanusa, A Aroor
2010
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