1 citations · 1 across the 1 of their papers we have counts for
4 papers
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…
Diffusion in quantum state preparation: From passive cooling to system-bath engineering
Tim Pokart, Lukas König, Sebastian Diehl +1
We investigate and compare two particle number-conserving protocols for the preparation of a topologically nontrivial state. The first is derived from thermally coupling the system…
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
Shengchao Yan, Lukas König, Wolfram Burgard
Active traffic management with autonomous vehicles offers the potential for reduced congestion and improved traffic flow. However, developing effective algorithms for real-world sc…
Homotopy, Symmetry, and Non-Hermitian Band Topology
Kang Yang, Zhi Li, J. Lukas K. König +3
Non-Hermitian matrices are ubiquitous in the description of nature ranging from classical dissipative systems, including optical, electrical, and mechanical metamaterials, to scatt…