3 papers
math.NA2026
A multilevel stochastic-gradient neural solver for boundary integral equations
Bing-Ze Lu, Richard Tsai
We propose a multilevel stochastic-gradient neural solver (MLSG) for second-kind boundary integral equations. MLSG represents the unknown boundary density using a neural network op…
cs.RO2024
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
Lukas Taus, Vrushabh Zinage, Takashi Tanaka +1
We revisit the problem of motion planning in the Gaussian belief space. Motivated by the fact that most existing sampling-based planners suffer from high computational costs due to…
math.AP2024
Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model
Luis Kaiser, Richard Tsai, Christian Klingenberg
In a variety of scientific and engineering domains, the need for high-fidelity and efficient solutions for high-frequency wave propagation holds great significance. Recent advances…