Martin Gebser
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 8 papers; trusts 44 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #14,903 of 35,345 by trust here, #16,771 by citations
- Computational Theory and Mathematics — 50 citations into it
- Computer Networks and Communications — 31 citations into it; #5,489 of 9,886 by trust here, #6,217 by citations
- Software — 11 citations into it
- Natural Language Processing — 10 citations into it
- History — 7 citations into it
- Literature and Literary Theory — 7 citations into it
- Sociology and Political Science — 7 citations into it
Whom Martin Gebser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Niklas Eén
- Chitta Baral
- Armin Biere
- Niklas Sörensson
- Lintao Zhang
- E. Goldberg
- Benjamin Kaufmann
- Matthew W. Moskewicz
- Joao Marques-Silva
- Robert Nieuwenhuis
Who trusts Martin Gebser overall
- Benjamin Kaufmann
- Antti Hyttinen
- Roland Kaminski
- Torsten Schaub
- Wolfgang Faber
- Frederick Eberhardt
- Katharina Eggensperger
- Gerson Zaverucha
- Dominik Moritz
- Matti Järvisalo
Papers from Martin Gebser's perspective
Ordered by how strongly the researchers Martin Gebser trusts endorse each paper. Same corpus, a different order for every researcher.
- A machine program for theorem-proving (CACM)
- Chaff: engineering an efficient SAT solver (Proceedings - Design Automation Conference)
- GRASP: A Search Algorithm for Propositional Satisfiability
- On the Complexity of Derivation in Propositional Calculus
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Temporal induction by incremental SAT solving (BMC@CAV)
- Cha : Engineering an e cient SAT solver (Design Automation Conference)
- Solving SAT and SAT Modulo Theories: From an abstract Davis--Putnam--Logemann--Loveland procedure to DPLL(T)
- Long Short-Term Memory
Their papers
- Conflict-driven answer set solving: From theory to practice (2012) — 427 citations
- ASP-Core-2 Input Language Format (2019) — 312 citations
- Multi-shot ASP solving with clingo (2017) — 344 citations
- Clingo = ASP + Control: Preliminary Report (2014) — 362 citations
- Answer Set Solving in Practice (2012) — 643 citations
- Potassco: The Potsdam Answer Set Solving Collection (2011) — 594 citations
- clasp : A Conflict-Driven Answer Set Solver (2007) — 371 citations
- Conflict-Driven Answer Set Solving (2007) — 395 citations