Zero-dimensional cardiovascular models provide a computationally efficient framework for studying global hemodynamic behavior, yet the influence of model complexity on parameter sensitivity remains insufficiently understood. This work investigates tw...
Multi-robot motion planning (MRMP) is the fundamental problem of finding non-colliding trajectories for multiple robots acting in an environment, under kinodynamic constraints. Due to its complexity, existing algorithms either utilize simplifying ass...
Jan 21, 2026 · It often comes down to outdated assumptions about access, safety and complexity. Here are five common HYSA myths and the facts that help separate the perceived catch from the actual …
Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity (⭐ 35)
Recently reported structural complexity and superconducting transition in lithium under pressure has increased the interest in light alkalis, otherwise considered as simple metals and well known systems under normal conditions. In this work we pres...
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As the complexity of machine learning (ML) models increases and their application in different (and critical) domains grows, there is a strong demand for more interpretable and trustworthy ML. A direct, model-agnostic, way to interpret such models is...
Jan 27, 2026 · Key Takeaways To deliver new capabilities and overcome the complexity of the growing Roblox avatar ecosystem, we are completing the migration to Dynamic Heads. This unified schema …
Jan 21, 2026 · It often comes down to outdated assumptions about access, safety and complexity. Here are five common HYSA myths and the facts that help separate the perceived catch from the actual …
Path following and lateral stability are crucial issues for autonomous vehicles. Moreover, these problems increase in complexity when handling articulated heavy-duty vehicles due to their poor manoeuvrability, large sizes and mass variation. In addit...
Ben Reichardt showed in a series of results that the general adversary bound of a function characterizes its quantum query complexity. This survey seeks to aggregate the background and definitions necessary to understand the proof. Notable among thes...
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A conventional solution is to use a spherical representation of surface propert...
Linear optical circuits of growing complexity are playing an increasing role in emerging photonic quantum technologies. Individual photonic devices are typically described by a unitary matrix containing amplitude and phase information, the characteri...
Nov 8, 2022 · PwC At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 …
Given a set $Σ$ of spheres in $\mathbb{E}^d$, with $d\ge{}3$ and $d$ odd, having a fixed number of $m$ distinct radii $ρ_1,ρ_2,...,ρ_m$, we show that the worst-case combinatorial complexity of the convex hull $CH_d(Σ)$ of $Σ$ is $Θ(\sum_{1\le{...
Assume that for some $α<1$ and for all nutural $n$ a set $F_n$ of at most $2^{αn}$ "forbidden" binary strings of length $n$ is fixed. Then there exists an infinite binary sequence $ω$ that does not have (long) forbidden substrings. We prove this c...
Jan 27, 2026 · Key Takeaways To deliver new capabilities and overcome the complexity of the growing Roblox avatar ecosystem, we are completing the migration to Dynamic Heads. This unified schema …
We study the minimum diameter spanning tree problem under the reload cost model (DIAMETER-TREE for short) introduced by Wirth and Steffan (2001). In this problem, given an undirected edge-colored graph $G$, reload costs on a path arise at a node wher...
The advent of deep reinforcement learning (DRL) has significantly advanced the field of robotics, particularly in the control and coordination of quadruped robots. However, the complexity of real-world tasks often necessitates the deployment of multi...
This paper addresses the problem of defining a subjective interestingness measure for BI exploration. Such a measure involves prior modeling of the belief of the user. The complexity of this problem lies in the impossibility to ask the user about the...