E-LIB Suche - Ergebnisse für: Evanusa, Matthew

1

DOT-VAE: Disentangling One Factor at a Time:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,

Patil, Vaishnavi ; Evanusa, Matthew ; JaJa, Joseph - p. 109-120 , 2022

Link: https://doi.org/10.1007/..

2

Deep-Readout Random Recurrent Neural Networks for Real-Worl..:

Evanusa, Matthew ; Shrestha, Snehesh ; Patil, Vaishnavi...
SN Computer Science. 3 (2022) 3 - p. , 2022

Link: https://doi.org/10.1007/..

3

Event-Based Attention and Tracking on Neuromorphic Hardware:

, In: 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS),

Renner, Alpha ; Evanusa, Matthew ; Orchard, Garrick. - p. 132-132 , 2020

Link: https://doi.org/10.1109/..

4

Event-Based Attention and Tracking on Neuromorphic Hardware:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Renner, Alpha ; Evanusa, Matthew ; Sandamirskaya, Yulia - p. 1709-1716 , 2019

Link: https://doi.org/10.1109/..

5

Spatial abstraction for autonomous robot navigation:

Epstein, Susan L. ; Aroor, Anoop ; Evanusa, Matthew..
Cognitive Processing. 16 (2015) S1 - p. 215-219 , 2015

Link: https://doi.org/10.1007/..

6

t-ConvESN: Temporal Convolution-Readout for Random Recurren..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,

Evanusa, Matthew S. ; Patil, Vaishnavi ; Girvan, Michelle... - p. 140-151 , 2023

Link: https://doi.org/10.1007/..

7

ProtoVAE: Prototypical Networks for Unsupervised Disentangl..:

Patil, Vaishnavi ; Evanusa, Matthew ; JaJa, Joseph
http://arxiv.org/abs/2305.09092. , 2023

Link: http://arxiv.org/abs/230..

8

DOT-VAE: Disentangling One Factor at a Time:

Patil, Vaishnavi ; Evanusa, Matthew ; JaJa, Joseph
http://arxiv.org/abs/2210.10920. , 2022

Link: http://arxiv.org/abs/221..

9

Hybrid Backpropagation Parallel Reservoir Networks:

Evanusa, Matthew ; Shrestha, Snehesh ; Girvan, Michelle..
http://arxiv.org/abs/2010.14611. , 2020

Link: http://arxiv.org/abs/201..

10

A Deep 2-Dimensional Dynamical Spiking Neuronal Network for..:

Evanusa, Matthew ; Fermuller, Cornelia ; Aloimonos, Yiannis
http://arxiv.org/abs/2009.00581. , 2020

Link: http://arxiv.org/abs/200..

11

Deep Reservoir Networks with Learned Hidden Reservoir Weigh..:

Evanusa, Matthew ; Fermüller, Cornelia ; Aloimonos, Yiannis
http://arxiv.org/abs/2010.06209. , 2020

Link: http://arxiv.org/abs/201..

12

Network Deconvolution:

Ye, Chengxi ; Evanusa, Matthew ; He, Hua...
http://arxiv.org/abs/1905.11926. , 2019

Link: http://arxiv.org/abs/190..

13

Event-based attention and tracking on neuromorphic hardware:

Renner, Alpha ; Evanusa, Matthew ; Sandamirskaya, Yulia
http://arxiv.org/abs/1907.04060. , 2019

Link: http://arxiv.org/abs/190..

14

SpikeMS: Deep Spiking Neural Network for Motion Segmentatio:

Parameshwara, Chethan M ; Li, Simin ; Fermüller, Cornelia...
http://arxiv.org/abs/2105.06562. , 2021

Link: http://arxiv.org/abs/210..