Thomas Eiter

About Thomas Eiter

Thomas Eiter, With an exceptional h-index of 74 and a recent h-index of 30 (since 2020), a distinguished researcher at Technische Universität Wien, specializes in the field of knowledge representation and reasoning, declarative problem solving, artificial intelligence, computational logic.

His recent articles reflect a diverse array of research interests and contributions to the field:

aspmc: New frontiers of algebraic answer set counting

Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling-ADDENDUM

Neuro-Symbolic Visual Graph Question Answering with LLMs for Language Parsing

4.4 Normative reasoning for autonomous agents (Parts I and II)

Contrastive Explanations for Answer-Set Programs

Deontic Paradoxes in ASP with Weak Constraints

Explaining answer-set programs with abstract constraint atoms

A logic-based approach to contrastive explainability for neurosymbolic visual question answering

Thomas Eiter Information

University

Position

___

Citations(all)

23022

Citations(since 2020)

4781

Cited By

20867

hIndex(all)

74

hIndex(since 2020)

30

i10Index(all)

245

i10Index(since 2020)

105

Email

University Profile Page

Google Scholar

Thomas Eiter Skills & Research Interests

knowledge representation and reasoning

declarative problem solving

artificial intelligence

computational logic

Top articles of Thomas Eiter

aspmc: New frontiers of algebraic answer set counting

Artificial Intelligence

2024/5/1

Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling-ADDENDUM

Theory and Practice of Logic Programming

2024/3

Neuro-Symbolic Visual Graph Question Answering with LLMs for Language Parsing

2023/11/21

Thomas Eiter
Thomas Eiter

H-Index: 33

Johannes Oetsch
Johannes Oetsch

H-Index: 9

4.4 Normative reasoning for autonomous agents (Parts I and II)

Normative Reasoning for AI

2023/11

Contrastive Explanations for Answer-Set Programs

2023/9/20

Deontic Paradoxes in ASP with Weak Constraints

arXiv preprint arXiv:2308.15870

2023/8/30

Thomas Eiter
Thomas Eiter

H-Index: 33

Explaining answer-set programs with abstract constraint atoms

2023/8/19

Thomas Eiter
Thomas Eiter

H-Index: 33

Tobias Geibinger
Tobias Geibinger

H-Index: 2

A logic-based approach to contrastive explainability for neurosymbolic visual question answering

Proceedings of the 32rd International Joint Conference on Artificial Intelligence (IJCAI 2023)

2023/8/19

Device and computer-implemented method for operating a machine

2023/8/10

Knowledge compilation and more with SharpSAT-TD

2023/8/1

Rafael Kiesel
Rafael Kiesel

H-Index: 2

Thomas Eiter
Thomas Eiter

H-Index: 33

Device and method for solving an answer set programming program for scheduling jobs to machines

2023/6/15

Semiring reasoning frameworks in ai and their computational complexity

Journal of Artificial Intelligence Research

2023/5/31

Thomas Eiter
Thomas Eiter

H-Index: 33

Rafael Kiesel
Rafael Kiesel

H-Index: 2

Contextual Reasoning for Scene Generation (Technical Report)

arXiv preprint arXiv:2305.02255

2023/5/3

Thomas Eiter
Thomas Eiter

H-Index: 33

Rafael Kiesel
Rafael Kiesel

H-Index: 2

Witnesses for answer sets of logic programs

ACM Transactions on Computational Logic

2023/1/27

Progression for Monitoring in Temporal ASP

2023

Ezio Bartocci
Ezio Bartocci

H-Index: 28

Thomas Eiter
Thomas Eiter

H-Index: 33

Semantically Guided Scene Generation via Contextual Reasoning and Algebraic Measures

2023

Thomas Eiter
Thomas Eiter

H-Index: 33

Rafael Kiesel
Rafael Kiesel

H-Index: 2

A Modular Neurosymbolic Approach for Visual Graph Question Answering

2023

Thomas Eiter
Thomas Eiter

H-Index: 33

Johannes Oetsch
Johannes Oetsch

H-Index: 9

The Collection of Papers Celebrating the 20th Anniversary of TPLP, Part II

Theory and Practice of Logic Programming

2023/1

Reasoning on with Defeasibility in ASP

Theory and Practice of Logic Programming

2022/3

Thomas Eiter
Thomas Eiter

H-Index: 33

CQELS 2.0: Towards a unified framework for semantic stream fusion

arXiv preprint arXiv:2202.13958

2022/2/15

See List of Professors in Thomas Eiter University(Technische Universität Wien)

Co-Authors

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