Publications (14)
Independence in Infinite Probabilistic Databases
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) model uncertainty in data. The current standard is to view PDBs as finite probability spaces over relational database instances. Since many attribute…
Generative Datalog with Continuous Distributions
Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen +1
Arguing for the need to combine declarative and probabilistic programming, Bárány et al. (TODS 2017) recently introduced a probabilistic extension of Datalog as a "purely declara…
Size, shape, density, and atmospheric limit of (50000) Quaoar revealed from 14 years of stellar occultation
Giuliano Margoti, Felipe Braga-Ribas, José Luis Ortiz +173
We present results from 28 stellar occultations by the large Trans-Neptunian Object (50000) Quaoar registered between 2018 and 2025. By performing a joint analysis of this occultat…
Infinite Probabilistic Databases
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) are used to model uncertainty in data in a quantitative way. In the standard formal framework, PDBs are finite probability spaces over relational dat…
Infinite Probabilistic Databases
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) model uncertainty in data in a quantitative way. In the established formal framework, probabilistic (relational) databases are finite probability spa…
Learning about SANS Instruments and Data Reduction from Round Robin Measurements on Samples of Polystyrene Latex
Adrian R. Rennie, Maja S. Hellsing, Kathleen Wood +12
Measurements of a well-characterised standard sample can verify the performance of an instrument. Typically, small-angle neutron scattering instruments are used to investigate a wi…
Tuple-Independent Representations of Infinite Probabilistic Databases
Nofar Carmeli, Martin Grohe, Peter Lindner +1
Probabilistic databases (PDBs) are probability spaces over database instances. They provide a framework for handling uncertainty in databases, as occurs due to data integration, no…
TESS photometry of the nova eruption in V606 Vul: asymmetric photosphere and multiple ejections?
Kirill V. Sokolovsky, Elias Aydi, Konstantin Malanchev +70
Lightcurves of many classical novae deviate from the canonical "fast rise - smooth decline" pattern and display complex variability behavior. We present the first TESS-space-photom…
Nonequilibrium Structure of Colloidal Dumbbells under Oscillatory Shear
Nils Heptner, Fangfang Chu, Yan Lu +3
We investigate the nonequilibrium behavior of dense, plastic-crystalline suspensions of mildly anisotropic colloidal hard dumbbells under the action of an oscillatory shear field b…
The Importance of Parameters in Database Queries
Amir Gilad, Martin Grohe, Benny Kimelfeld +2
We propose and study a framework for quantifying the importance of the choices of parameter values to the result of a query over a database. These parameters occur as constants in…
Probabilistic Query Evaluation with Bag Semantics
Martin Grohe, Peter Lindner, Christoph Standke
We study the complexity of evaluating queries on probabilistic databases under bag semantics. We focus on self-join free conjunctive queries, and probabilistic databases where occu…
Probabilistic Databases with an Infinite Open-World Assumption
Martin Grohe, Peter Lindner
Probabilistic databases (PDBs) introduce uncertainty into relational databases by specifying probabilities for several possible instances. Traditionally, they are finite probabilit…
Probabilistic Data with Continuous Distributions
Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen +1
Statistical models of real world data typically involve continuous probability distributions such as normal, Laplace, or exponential distributions. Such distributions are supported…
Engineering solid-like structures via an arrested spinodal decomposition
Thomas Gibaud, Anna Stradner, Julian Oberdisse +4
The possibilities to tune the structure of solid like material resulting from arrested spinodal decomposition is investigated using a system composed of lysozyme, a globular protei…