48 citations · 66 across the 6 of their papers we have counts for
6 papers
How Asynchronous Events Encode Video
Karen Adam, Adam Scholefield, Martin Vetterli
As event-based sensing gains in popularity, theoretical understanding is needed to harness this technology's potential. Instead of recording video by capturing frames, event-based…
A Time Encoding approach to training Spiking Neural Networks
Karen Adam
While Spiking Neural Networks (SNNs) have been gaining in popularity, it seems that the algorithms used to train them are not powerful enough to solve the same tasks as those tackl…
Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals
Karen Adam, Adam Scholefield, Martin Vetterli
In event-based sensing, many sensors independently and asynchronously emit events when there is a change in their input. Event-based sensing can present significant improvements in…
Matrix recovery from bilinear and quadratic measurements
Michalina Pacholska, Karen Adam, Adam Scholefield +1
Matrix (or operator) recovery from linear measurements is a well-studied problem. However, there are situations where only bilinear or quadratic measurements are available. A bilin…
Encoding and Decoding Mixed Bandlimited Signals using Spiking Integrate-and-Fire Neurons
Karen Adam, Adam Scholefield, Martin Vetterli
Conventional sampling focuses on encoding and decoding bandlimited signals by recording signal amplitudes at known time points. Alternately, sampling can be approached using biolog…
Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding
Karen Adam, Adam Scholefield, Martin Vetterli
Sampling is classically performed by recording the amplitude of an input signal at given time instants; however, sampling and reconstructing a signal using multiple devices in para…