Zobrazeno 1 - 10
of 150 535
pro vyhledávání: '"SIMMONS, A."'
Camera traps, combined with AI, have emerged as a way to achieve automated, scalable biodiversity monitoring. However, the passive infrared (PIR) sensors that trigger camera traps are poorly suited for detecting small, fast-moving ectotherms such as
Externí odkaz:
http://arxiv.org/abs/2411.14467
Autor:
Chivukula, R. Sekhar, Gill, Joshua A., Mohan, Kirtimaan A., Sanamyan, George, Sengupta, Dipan, Simmons, Elizabeth H., Wang, Xing
We revisit the phenomenology of dark-matter (DM) scenarios within radius-stabilized Randall-Sundrum models. Specifically, we consider models where the dark matter candidates are Standard Model (SM) singlets confined to the TeV brane and interact with
Externí odkaz:
http://arxiv.org/abs/2411.02509
Let $X = [0,1]$, and let $T:X\to X$ be an expanding piecewise linear map sending each interval of linearity to $[0,1]$. For $\psi:\mathbb N\to\mathbb R_{\geq 0}$, $x\in X$, and $N\in\mathbb N$ we consider the recurrence counting function \[ R(x,N;T,\
Externí odkaz:
http://arxiv.org/abs/2410.22993
Autor:
Fahey, Matthew J., Garland, Izzy. L., Simmons, Brooke. D., Keel, William C., Shanahan, Jesse, Coil, Alison, Glikman, Eilat, Lintott, Chris J., Masters, Karen L., Moran, Ed, Smethurst, Rebecca J., Géron, Tobias, Thorne, Matthew R.
Active galactic nucleus (AGN) growth in disk-dominated, merger-free galaxies is poorly understood, largely due to the difficulty in disentangling the AGN emission from that of the host galaxy. By carefully separating this emission, we examine the dif
Externí odkaz:
http://arxiv.org/abs/2410.22404
Autor:
Simmons, Gabriel
The paper "Is Complexity an Illusion?" (Bennett, 2024) provides a formalism for complexity, learning, inference, and generalization, and introduces a formal definition for a "policy". This reply shows that correct policies do not exist for a simple t
Externí odkaz:
http://arxiv.org/abs/2411.08897
In interactive imitation learning (IL), uncertainty quantification offers a way for the learner (i.e. robot) to contend with distribution shifts encountered during deployment by actively seeking additional feedback from an expert (i.e. human) online.
Externí odkaz:
http://arxiv.org/abs/2410.08852
Diffusion models have found phenomenal success as expressive priors for solving inverse problems, but their extension beyond natural images to more structured scientific domains remains limited. Motivated by applications in materials science, we aim
Externí odkaz:
http://arxiv.org/abs/2410.05143
The distinguishing index gives a measure of symmetry in a graph. Given a graph $G$ with no $K_2$ component, a distinguishing edge coloring is a coloring of the edges of $G$ such that no non-trivial automorphism preserves the edge coloring. The distin
Externí odkaz:
http://arxiv.org/abs/2409.18195
Understanding and predicting recreational fishing activity is important for sustainable fisheries management. However, traditional methods of measuring fishing pressure, such as surveys, can be costly and limited in both time and spatial extent. Pred
Externí odkaz:
http://arxiv.org/abs/2409.17425
Fishing is a valuable recreational activity in our society. To assess future fishing activity, identifying variables related to differences in fishing activity, such as gender or Covid-19, is helpful. We conducted a Canada-wide email survey of users
Externí odkaz:
http://arxiv.org/abs/2409.07492