1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
Lukas König, Manuel Kuhn, David Kappel +1
Existing frameworks for gradient-based training of spiking neural networks face a trade-off: discrete-time methods using surrogate gradients support arbitrary neuron models but int…
cs.CV2025
Understanding Transformer-based Vision Models through Inversion
Jan Rathjens, Shirin Reyhanian, David Kappel +1
Understanding the mechanisms underlying deep neural networks remains a fundamental challenge in machine learning and computer vision. One promising, yet only preliminarily explored…