David Rügamer
Professor in statistics at LMU Munich leading the Munich Uncertainty Quantification AI Lab, focused on uncertainty quantification, Bayesian deep learning, and optimization for scalable probabilistic models.
Best podcasts with David Rügamer
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Jan 28, 2026 • 1h 20min
#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik
David Rügamer, LMU professor working on uncertainty in deep models; Emanuel Sommer, PhD researcher building practical JAX sampling tools; Jakob Robnik, Berkeley physicist developing the Microcanonical Langevin sampler. They discuss scaling Bayesian neural networks, fast sampling tricks and software, microcanonical dynamics, bottlenecks in high dimensions, hybrid warm-start strategies, and tooling for practical uncertainty quantification.
