Ulrich Schaechtle

Elements of a stochastic 3D prediction engine in larval zebrafish prey capture

Florian Engert, Andrew D Bolton, Martin Haesemeyer, 2019, eLife.

COMMODITY12: A smart e-health environment for diabetes management

Esther Rodríguez-Villegas, Stefano Bromuri, Kostas Stathis, 2013, J. Ambient Intell. Smart Environ..

Gaussian Process Structure Learning via Probabilistic Inverse Compilation

Vikash K. Mansinghka, Ulrich Schaechtle, 2016 .

Bayesian synthesis of probabilistic programs for automatic data modeling

Martin C. Rinard, Vikash K. Mansinghka, Ulrich Schaechtle, 2019, Proc. ACM Program. Lang..

Synthesis Systems and Experiments for

Martin Rinard, Vikash K. Mansinghka, Ulrich Schaechtle, 2018, Artifact Digital Object Group.

Probabilistic Programming with Gaussian Process Memoization pdf

Kostas Stathis, Vikash K. Mansinghka, Alexey Radul, 2015, ArXiv.

Elements of a stochastic 3D prediction engine in larval zebrafish prey capture

Joshua B. Tenenbaum, Florian Engert, Feras Saad, 2019, bioRxiv.

Hydra: A hybrid diagnosis and monitoring architecture for diabetes

Kostas Stathis, Özgür Kafali, Ulrich Schaechtle, 2014, 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom).

Probabilistic modeling and inference are becoming central computational tools across a broad range of fields

Martin C. Rinard, Yutian Chen, Vikash K. Mansinghka, 2018 .

Multi-Dimensional Causal Discovery

Stefano Bromuri, Kostas Stathis, Ulrich Schaechtle, 2013, IJCAI.

Time Series Structure Discovery via Probabilistic Program Synthesis

Alexey Radul, Ulrich Schaechtle, Vikash Mansinghka, 2016 .

Dynamic causal discovery

Ulrich Schaechtle, Ulrich Schaechtle, 2016 .