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Matthew Evanusa
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2020 – today
- 2023
- [i8]Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement. CoRR abs/2305.09092 (2023) - 2022
- [j1]Matthew Evanusa
, Snehesh Shrestha, Vaishnavi Patil, Cornelia Fermüller, Michelle Girvan, Yiannis Aloimonos:
Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data. SN Comput. Sci. 3(3): 222 (2022) - [c7]Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
DOT-VAE: Disentangling One Factor at a Time. ICANN (1) 2022: 109-120 - [i7]Vaishnavi Patil, Matthew Evanusa, Joseph F. JáJá:
DOT-VAE: Disentangling One Factor at a Time. CoRR abs/2210.10920 (2022) - 2021
- [c6]Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew S. Evanusa
, Yiannis Aloimonos:
SpikeMS: Deep Spiking Neural Network for Motion Segmentation. IROS 2021: 3414-3420 - [i6]Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew Evanusa, Yiannis Aloimonos:
SpikeMS: Deep Spiking Neural Network for Motion Segmentation. CoRR abs/2105.06562 (2021) - 2020
- [c5]Alpha Renner
, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. AICAS 2020: 132 - [c4]Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. ICLR 2020 - [i5]Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos:
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP. CoRR abs/2009.00581 (2020) - [i4]Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos:
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment. CoRR abs/2010.06209 (2020) - [i3]Matthew Evanusa, Snehesh Shrestha, Michelle Girvan, Cornelia Fermüller, Yiannis Aloimonos:
Hybrid Backpropagation Parallel Reservoir Networks. CoRR abs/2010.14611 (2020)
2010 – 2019
- 2019
- [c3]Alpha Renner
, Matthew Evanusa, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. CVPR Workshops 2019: 1709-1716 - [i2]Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. CoRR abs/1905.11926 (2019) - [i1]Alpha Renner
, Matthew Evanusa, Yulia Sandamirskaya:
Event-based attention and tracking on neuromorphic hardware. CoRR abs/1907.04060 (2019) - 2015
- [c2]Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth Sklar, Simon Parsons:
Navigation with Learned Spatial Affordances. CogSci 2015 - [c1]Susan L. Epstein, Anoop Aroor, Matthew Evanusa
, Elizabeth I. Sklar, Simon Parsons:
Learning Spatial Models for Navigation. COSIT 2015: 403-425
Coauthor Index
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