1 code implementation • 24 Nov 2023 • Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix C. Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik
Despite a well-established mathematical foundation for neural dynamics, the implementation details vary greatly across different platforms.
no code implementations • 27 Oct 2023 • Steven Abreu
The value of neuromorphic computers depends crucially on our ability to program them for relevant tasks.
no code implementations • 19 Mar 2023 • Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman
Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics.
no code implementations • 22 Aug 2019 • Steven Abreu
This thesis inspects different approaches, existing and novel, to automate the design of deep feedforward neural networks in an attempt to create less complex models with good performance that take away the burden of deciding on an architecture and make it more efficient to design and train such deep networks.