Author

M. Zeilinger

h-index 44 View on Semantic Scholar

We have 3 of 221 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Oct 2026

Learning Structured Sparsity for Large Models: Bridging Model Compressibility and Efficient Inference

Scaling laws continue to reward increases in model scale, while the resulting computational and memory demands drive greater reliance on cloud infrastructure for inference. Yet unreliable network connectivity, communication delays, and privacy requirements can make such reliance impractical, motivating local execution...

Tian-Xiang Xia, Li-On Kai, Niao He et al. · 0 citations

Preprint Oct 2026

Reachability-Guided Sequential Quadratic Programming-Guarded Model Predictive Path Integral for Safe Nonlinear Predictive Control

Safe robot control often requires combining long-horizon performance optimization with hard state and input constraints, but existing approaches tend to address this tradeoff partially. Sampling-based model predictive control (MPC) methods such as model predictive path integral (MPPI) are effective in handling nonlinea...

A. Didier, J. Choi, Namhoon Cho et al. · 0 citations

Preprint Aug 2026

Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control

This work formalizes a deterministic trigonometric feature Gaussian process (DTF-GP), a finite-dimensional kernel approximation based on discretized trigonometric features that reduces GP regression to Bayesian linear regression in feature space, and derives a high-probability uniform uncertainty bound for the proposed...

Julius Jagdt, Johanna Menn, Sebastian Trimpe et al. · 0 citations