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03/24/2023
Factorizers for Distributed Sparse Block Codes
Distributed sparse block codes (SBCs) exhibit compact representations fo...
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11/09/2022
In-memory factorization of holographic perceptual representations
Disentanglement of constituent factors of a sensory signal is central to...
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07/14/2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
Continually learning new classes from a few training examples without fo...
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03/30/2022
Constrained Few-shot Class-incremental Learning
Continually learning new classes from fresh data without forgetting prev...
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03/09/2022
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices
Neither deep neural networks nor symbolic AI alone have approached the k...
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03/25/2021
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Personalized ubiquitous healthcare solutions require energy-efficient we...
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10/14/2020
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
Successful motor-imagery brain-computer interface (MI-BCI) algorithms ei...
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05/31/2020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
In recent years, deep learning (DL) has contributed significantly to the...
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04/24/2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain–Machine Interfaces
Motor-Imagery Brain-Machine Interfaces (MI-BMIs) promise direct and acce...
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03/31/2020
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
This paper presents an accurate and robust embedded motor-imagery brain-...
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12/13/2018