activity
20202026
most citedUnified Foundations of Team Semantics via Semirings

2 citations · 2 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LO2026

Aspects of Coherence in Dependence Logic

Timon Barlag, Nicolas Fröhlich, Miika Hannula +4

Dependence logic extends first-order logic with dependence atoms asserting that the value of a variable is determined by the values of certain other variables. The semantics of dep…

cs.DB2026

Inconsistent Databases and Argumentation Frameworks with Collective Attacks

Yasir Mahmood, Jonni Virtema, Timon Barlag +1

The connection between subset-maximal repairs for inconsistent databases involving various integrity constraints and acceptable sets of arguments within argumentation frameworks ha…

cs.CC2026

Recurrent Graph Neural Networks and Arithmetic Circuits

Timon Barlag, Vivian Holzapfel, Laura Strieker +2

We characterise the computational power of recurrent graph neural networks (GNNs) in terms of arithmetic circuits over the real numbers. Our networks are not restricted to aggregat…

cs.LO2025

Logical Approaches to Non-deterministic Polynomial Time over Semirings

Timon Barlag, Nicolas Fröhlich, Teemu Hankala +6

We provide a logical characterization of non-deterministic polynomial time defined by BSS machines over semirings via existential second-order logic interpreted in the semiring sem…

quant-ph2025

Locally Consistent K-relations: Entailment and Axioms of Functional Dependence

Timon Barlag, Miika Hannula, Juha Kontinen +2

Local consistency arises in diverse areas, including Bayesian statistics, relational databases, and quantum foundations, and so does the notion of functional dependence. We adopt a…

cs.LO2025

Logic and Computation through the Lens of Semirings

Timon Barlag, Nicolas Fröhlich, Teemu Hankala +6

We study the expressivity and computational aspects of first-order logic and its extensions in the semiring semantics developed by Grädel and Tannen. We characterize the complexity…

cs.LG2024

Graph Neural Networks and Arithmetic Circuits

Timon Barlag, Vivian Holzapfel, Laura Strieker +2

We characterize the computational power of neural networks that follow the graph neural network (GNN) architecture, not restricted to aggregate-combine GNNs or other particular typ…

cs.CC2023

Computing Repairs Under Functional and Inclusion Dependencies via Argumentation

Yasir Mahmood, Jonni Virtema, Timon Barlag +1

We discover a connection between finding subset-maximal repairs for sets of functional and inclusion dependencies, and computing extensions within argumentation frameworks (AFs). W…

cs.LO2023★ 2 cited

Unified Foundations of Team Semantics via Semirings

Timon Barlag, Miika Hannula, Juha Kontinen +2

Semiring semantics for first-order logic provides a way to trace how facts represented by a model are used to deduce satisfaction of a formula. Team semantics is a framework for st…

cs.CC2023

Logical Characterization of Algebraic Circuit Classes over Integral Domains

Timon Barlag, Florian Chudigiewitsch, Sabrina Alexandra Gaube

We present an adapted construction of algebraic circuits over the reals introduced by Cucker and Meer to arbitrary infinite integral domains and generalize the $\mathrm{AC}_{\mathb…

cs.CC2020

A Logical Characterization of Constant-Depth Circuits over the Reals

Timon Barlag, Heribert Vollmer

In this paper we give an Immerman's Theorem for real-valued computation. We define circuits operating over real numbers and show that families of such circuits of polynomial size a…