Navigation with Learned Spatial Affordances. - Susan L. Epstein; Anoop Aroor; Matthew Evanusa; Elizabeth Sklar; Simon Parsons (CogSci, 2015)

Learning Spatial Models for Navigation. - Susan L. Epstein; Anoop Aroor; Matthew Evanusa; Elizabeth I. Sklar; Simon Parsons (COSIT, 2015)

Event-Based Attention and Tracking on Neuromorphic Hardware. - Alpha Renner; Matthew Evanusa; Yulia Sandamirskaya (CVPR Workshops, 2019)

Event-Based Attention and Tracking on Neuromorphic Hardware. - Alpha Renner; Matthew Evanusa; Garrick Orchard; Yulia Sandamirskaya (AICAS, 2020)

Network Deconvolution. - Chengxi Ye; Matthew Evanusa; Hua He; Anton Mitrokhin; Tom Goldstein; James A. Yorke; Cornelia Fermüller; Yiannis Aloimonos (ICLR, 2020)

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

Hybrid Backpropagation Parallel Reservoir Networks. - Matthew Evanusa; Snehesh Shrestha; Michelle Girvan; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2020)

SpikeMS: Deep Spiking Neural Network for Motion Segmentation. - Chethan M. Parameshwara; Simin Li; Cornelia Fermüller; Nitin J. Sanket; Matthew S. Evanusa; Yiannis Aloimonos (IROS, 2021)

DOT-VAE: Disentangling One Factor at a Time. - Vaishnavi Patil; Matthew Evanusa; Joseph F. JáJá (ICANN (1), 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)

t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks. - Matthew S. Evanusa; Vaishnavi Patil; Michelle Girvan; Joel Goodman; Cornelia Fermüller; Yiannis Aloimonos (ICANN (6), 2023)

ProtoVAE: Prototypical Networks for Unsupervised Disentanglement. - Vaishnavi Patil; Matthew Evanusa; Joseph F. JáJá (CoRR, 2023)

Maelstrom Networks. - Matthew Evanusa; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2024)

Dynamical Memory in Deep Neural Networks -. - Matthew S. Evanusa (2024)