EDBT 2026 Demo / reviewers in the wild / expert
Kristopher Brown
dblp:238/0402
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2023
0000-0002-9374-9138ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Computational category-theoretic rewriting
Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks |
J. Log. Algebraic Methods Program. | 1 |
| 2022 | Computational Category-Theoretic Rewriting
Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks |
ICGT | 1 |
| 2021 | Pono: A Flexible and Extensible SMT-Based Model CheckerabstractAbstract Symbolic model checking is an important tool for finding bugs (or proving the absence of bugs) in modern system designs. Because of this, improving the ease of use, scalability, and performance of model checking tools and algorithms continues to be an important research direction. In service of this goal, we present , an open-source SMT-based model checker. is designed to be both a research platform for developing and improving model checking algorithms, as well as a performance-competitive tool that can be used for academic and industry verification applications. In addition to performance, prioritizes transparency (developed as an open-source project on GitHub), flexibility ( can be adapted to a variety of tasks by exploiting its general SMT-based interface), and extensibility (it is easy to add new algorithms and new back-end solvers). In this paper, we describe the design of the tool with a focus on the flexible and extensible architecture, cover its current capabilities, and demonstrate that is competitive with state-of-the-art tools. Makai Mann, Ahmed Irfan, Florian Lonsing, Yahan Yang, Hongce Zhang, Kristopher Brown, Aarti Gupta, Clark W. Barrett |
CAV (2) | 6 |
| 2021 | Smt-Switch: A Solver-Agnostic C++ API for SMT Solving
Makai Mann, Amalee Wilson, Yoni Zohar, Lindsey Stuntz, Ahmed Irfan, Kristopher Brown, Caleb Donovick, Allison Guman, Cesare Tinelli, Clark W. Barrett |
SAT | 6 |