25 citations · 56 across the 16 of their papers we have counts for
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cs.LG2024
State-Free Inference of State-Space Models: The Transfer Function Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro +10
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel in…
cs.NE2024
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?
Mónika Farsang, Mathias Lechner, David Lung +3
Bio-inspired neural networks have the potential to advance our understanding of neural computation and improve the state-of-the-art of AI systems. Bio-electrical synapses directly…