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05/16/2023
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement
Generative modeling and self-supervised learning have in recent years ma...
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10/19/2022
DOT-VAE: Disentangling One Factor at a Time
As we enter the era of machine learning characterized by an overabundanc...
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10/27/2020
Hybrid Backpropagation Parallel Reservoir Networks
In many real-world applications, fully-differentiable RNNs such as LSTMs...
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10/13/2020
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Deep Reservoir Computing has emerged as a new paradigm for deep learning...
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09/01/2020
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
The brain is known to be a highly complex, asynchronous dynamical system...
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07/09/2019
Event-based attention and tracking on neuromorphic hardware
We present a fully event-driven vision and processing system for selecti...
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05/28/2019