activity
20132026
most citedBroadcast Dimension of Graphs

8 citations · 59 across the 53 of their papers we have counts for

collaborators

61 papers

math.CO2026

Typical growth of the Füredi-Hajnal and Stanley-Wilf limits

Jesse Geneson

We prove that the Füredi-Hajnal limit and the Stanley-Wilf limit of a uniformly random permutation matrix of order are at most with…

math.CO2026

Deletion thresholds and exponential examples for complete sequences

Jesse Geneson

We prove that the pairs of integers for which a nondecreasing integer sequence can remain complete after every deletion of terms and become incomplete after every de…

math.CO2026

Enumerating forcing and strongly forcing (0,1)-matrices

Lei Cao, Jesse Geneson

Let be a nonzero -pattern, and let and . An matrix is strongly -forcing if every -entry belongs to an submatri…

math.NT2026

Density bounds for permutations avoiding monotone arithmetic progressions

Jesse Geneson

For , let and denote the supremal upper and lower densities of subsets of admitting -permutations without monotone $\e…

math.CO2026★ 2 cited

A six-neuron counterexample to the target-free clique conjecture

Jesse Geneson

The target-free clique conjecture asserts that the supports of stable fixed points of a nondegenerate combinatorial threshold-linear network (CTLN) are exactly its target-free cliq…

math.CO2026

Linear extremal bounds for a family of forbidden - matrices

Jesse Geneson

Fulek defined the - matrix \[ L_3=\begin{pmatrix} 1&0&0&1&0\\ 0&0&0&0&1\\ 0&1&1&0&0 \end{pmatrix} \] and asked whether . We prove that every $r\times…

math.CO2026

The order of long rainbow arithmetic progressions

Jesse Geneson

Let be the minimum positive integer such that, for every positive integer , every equinumerous -coloring of contains a rainbow -term arithmetic progressio…

cs.LG2026

Online learning of smooth functions on

Jesse Geneson, Kuldeep Singh, Alexander Wang

We study adversarial online learning of real-valued functions on . In each round the learner is queried at , predicts , and then observes th…

math.CO2026

Asymptotic Tightness of the Pigeonhole Bound for Large-Order Davenport-Schinzel Sequences

Jesse Geneson

We prove that the pigeonhole upper bound is asymptotically tight whenever . In particular, in…

math.CO2025

Throttling for metric dimension and its variants

Boris Brimkov, Peter Diao, Jesse Geneson +4

Metric dimension is a graph parameter that has been applied to robot navigation and finding low-dimensional vector embeddings. Throttling entails minimizing the sum of two availabl…

math.CO2025

Saturation of 0-1 Matrices

Andrew Brahms, Alan Duan, Jesse Geneson +1

A 0-1 matrix contains a 0-1 matrix if has a submatrix which can be turned into by changing some of the ones to zeroes. Matrix is -saturated if does…

math.CO2025

Fault tolerance for metric dimension and its variants

Jesse Geneson, Shen-Fu Tsai

Hernando et al. (2008) introduced the fault-tolerant metric dimension , which is the size of the smallest resolving set of a graph such that $S-\left\{s\ri…

math.CO2024

Sequence saturation

Anand, Jesse Geneson, Suchir Kaustav +1

In this paper, we introduce saturation and semisaturation functions of sequences, and we prove a number of fundamental results about these functions. Given a forbidden sequence …

math.CO2023

Extremal bounds for pattern avoidance in multidimensional 0-1 matrices

Jesse Geneson, Shen-Fu Tsai

A 0-1 matrix contains another 0-1 matrix if some submatrix of can be turned into by changing any number of -entries to -entries. is -saturate…

cs.DM2023

Random processes for generating task-dependency graphs

Jesse Geneson, Shen-Fu Tsai

We investigate random processes for generating task-dependency graphs of order with edges and a specified number of initial vertices and terminal vertices. In order to do s…

cs.LG2023

Online Learning of Smooth Functions

Jesse Geneson, Ethan Zhou

In this paper, we study the online learning of real-valued functions where the hidden function is known to have certain smoothness properties. Specifically, for , let $\ma…

cs.LG2022

Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning

Raymond Feng, Jesse Geneson, Andrew Lee +1

We determine sharp bounds on the price of bandit feedback for several variants of the mistake-bound model. The first part of the paper presents bounds on the -input weak reinfor…

math.CO2021

Peripherality in networks: theory and applications

Jesse Geneson, Shen-Fu Tsai

We investigate several related measures of peripherality and centrality for vertices and edges in networks, including the Mostar index which was recently introduced as a measure of…

math.CO2021★ 5 cited

The distance-k dimension of graphs

Jesse Geneson, Eunjeong Yi

The metric dimension, , of a graph is a graph parameter motivated by robot navigation that has been studied extensively. Let be a graph with vertex set , and…

cs.LG2021

Sharper bounds for online learning of smooth functions of a single variable

Jesse Geneson

We investigate the generalization of the mistake-bound model to continuous real-valued single variable functions. Let be the class of absolutely continuous function…

math.CO2021

Continuous Turán numbers

Jesse Geneson

In this paper, we define a notion of containment and avoidance for subsets of . Then we introduce a new, continuous and super-additive extremal function for subsets $…

cs.DM2021

A note on the price of bandit feedback for mistake-bounded online learning

Jesse Geneson

The standard model and the bandit model are two generalizations of the mistake-bound model to online multiclass classification. In both models the learner guesses a classification…

math.CO2020

Almost all permutation matrices have bounded saturation functions

Jesse Geneson

Saturation problems for forbidden graphs have been a popular area of research for many decades, and recently Brualdi and Cao initiated the study of a saturation problem for 0-1 mat…

math.CO2020★ 1 cited

Reconfiguration graphs of zero forcing sets

Jesse Geneson, Ruth Haas, Leslie Hogben

This paper begins the study of reconfiguration of zero forcing sets, and more specifically, the zero forcing graph. Given a base graph , its zero forcing graph, …