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Joseph Paat
dblp:173/4642
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12ranked-venue papers
3as first author
4since 2021 · last 2024
0000-0003-2930-3155ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 12 · 3 first-author · 4 since 2021Artificial intelligence and machine learning · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | On the Column Number and Forbidden Submatrices for \(\Delta\)-Modular MatricesabstractAbstract. An integer matrix [Formula: see text] is [Formula: see text]-modular if the determinant of each [Formula: see text] submatrix of [Formula: see text] has absolute value at most [Formula: see text]. The study of [Formula: see text]-modular matrices appears in the theory of integer programming, where an open conjecture is whether integer programs defined by [Formula: see text]-modular constraint matrices can be solved in polynomial time if [Formula: see text] is considered constant. The conjecture is known to hold true only when [Formula: see text]. In light of this conjecture, a natural question is to understand structural properties of [Formula: see text]-modular matrices. We consider the column number question, how many nonzero, pairwise nonparallel columns can a rank-[Formula: see text] [Formula: see text]-modular matrix have? We prove that for each positive integer [Formula: see text] and sufficiently large integer [Formula: see text], every rank-[Formula: see text] [Formula: see text]-modular matrix has at most [Formula: see text] nonzero, pairwise nonparallel columns, which is tight up to the term [Formula: see text]. This is the first upper bound of the form [Formula: see text] with [Formula: see text] a polynomial function. Underlying our results is a partial list of matrices that cannot exist in a [Formula: see text]-modular matrix. We believe this partial list may be of independent interest in future studies of [Formula: see text]-modular matrices. Joseph Paat, Ingo Stallknecht, Zach Walsh, Luze Xu |
SIAM J. Discret. Math. | 1 |
| 2023 | Towards a Characterization of Maximal Quadratic-Free Sets
Gonzalo Muñoz 0001, Joseph Paat, Felipe Serrano 0001 |
IPCO | 2 |
| 2023 | Compressing Branch-and-Bound Trees
Gonzalo Muñoz 0001, Joseph Paat, Álinson S. Xavier |
IPCO | 2 |
| 2022 | Improving the Cook et al. Proximity Bound Given Integral Valued Constraints
Marcel Celaya, Stefan Kuhlmann, Joseph Paat, Robert Weismantel |
IPCO | 3 |
| 2020 | Constructing Lattice-Free Gradient Polyhedra in Dimension Two
Joseph Paat, Miriam Schlöter, Emily Speakman |
IPCO | 1 |
| 2020 | The Integrality Number of an Integer Program
Joseph Paat, Miriam Schlöter, Robert Weismantel |
IPCO | 1 |
| 2020 | Improving Proximity Bounds Using Sparsity
Jon Lee 0001, Joseph Paat, Ingo Stallknecht, Luze Xu |
ISCO | 2 |
| 2019 | Sparsity of Integer Solutions in the Average Case
Timm Oertel, Joseph Paat, Robert Weismantel |
IPCO | 2 |
| 2019 | Nonunique Lifting of Integer Variables in Minimal InequalitiesabstractWe explore the lifting question in the context of cut-generating functions. Most of the prior literature on this question focuses on cut-generating functions that have the unique lifting property. We develop a general theory for understanding the lifting question for cut-generating functions that do not necessarily have the unique lifting property. Amitabh Basu, Santanu Subhas Dey, Joseph Paat |
SIAM J. Discret. Math. | 3 |
| 2017 | Approximation of Corner Polyhedra with Families of Intersection Cuts
Gennadiy Averkov, Amitabh Basu, Joseph Paat |
IPCO | 3 |
| 2017 | The Structure of the Infinite Models in Integer Programming
Amitabh Basu, Michele Conforti, Marco Di Summa, Joseph Paat |
IPCO | 4 |
| 2016 | Extreme Functions with an Arbitrary Number of Slopes
Amitabh Basu, Michele Conforti, Marco Di Summa, Joseph Paat |
IPCO | 4 |