Matthew Evanusa

According to our database, Matthew Evanusa authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Maelstrom Networks.

Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2024

2023

ProtoVAE: Prototypical Networks for Unsupervised Disentanglement.

Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá

CoRR, 2023

t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks.

Matthew S. Evanusa, Vaishnavi Patil, Michelle Girvan, Joel Goodman, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data.

Matthew Evanusa, Snehesh Shrestha, Vaishnavi Patil, Cornelia Fermüller, Michelle Girvan, Yiannis Aloimonos

SN Comput. Sci., 2022

DOT-VAE: Disentangling One Factor at a Time.

Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

SpikeMS: Deep Spiking Neural Network for Motion Segmentation.

Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew S. Evanusa, Yiannis Aloimonos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Hybrid Backpropagation Parallel Reservoir Networks.

Matthew Evanusa, Snehesh Shrestha, Michelle Girvan, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2020

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

Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2020

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

Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2020

Network Deconvolution.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

Event-Based Attention and Tracking on Neuromorphic Hardware.

Alpha Renner, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Event-Based Attention and Tracking on Neuromorphic Hardware.

Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2015

Learning Spatial Models for Navigation.

Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth I. Sklar, Simon Parsons

Proceedings of the Spatial Information Theory - 12th International Conference, 2015

Navigation with Learned Spatial Affordances.

Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth Sklar, Simon Parsons

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015