Tootfinder

Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Chih-Yuan Chiu
https://arxiv.org/abs/2509.20355 https://…

Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Congestion pricing policies have emerged as promising traffic management tools to alleviate traffic congestion caused by travelers' selfish routing behaviors. The core principle behind deploying tolls is to impose monetary costs on frequently overcrowded routes, to incentivize self-interested travelers to select less easily congested routes. Recent literature has focused on toll design based on arc-based traffic assignment models (TAMs), which characterize commuters as traveling through a traff…

#Blakes7 B12 - The Keeper
JENNA: I've told you, we mean him no harm.
GOLA: You come from a spaceship. My guards capture you, or else by now you would have killed us. [holding up teleport bracelets] What are these? You - fool! What are these?
http…

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
Mingfeng Fan, Jiaqi Cheng, Yaoxin Wu, Yifeng Zhang, Yibin Yang, Guohua Wu, Guillaume Sartoretti
https://arxiv.org/abs/2510.03065

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
In recent years, deep reinforcement learning (DRL) has gained traction for solving the NP-hard traveling salesman problem (TSP). However, limited attention has been given to the close-enough TSP (CETSP), primarily due to the challenge introduced by its neighborhood-based visitation criterion, wherein a node is considered visited if the agent enters a compact neighborhood around it. In this work, we formulate a Markov decision process (MDP) for CETSP using a discretization scheme and propose a n…

A Possibility Frontier Approach to Diverse Talent Selection
Neil Natarajan, Kadeem Noray
https://arxiv.org/abs/2510.06119 https://arxiv.org/pdf/2510.06119

A Possibility Frontier Approach to Diverse Talent Selection
Organizations (e.g., talent investment programs, schools, firms) are perennially interested in selecting cohorts of talented people. And organizations are increasingly interested in selecting diverse cohorts. Except in trivial cases, measuring the tradeoff between cohort diversity and talent is computationally difficult. Thus, organizations are presently unable to make Pareto-efficient decisions about these tradeoffs. We introduce an algorithm that approximates upper bounds on cohort talent and…

i continue to play records i don't particularly like in order to make room on the shelf
obtw, i found that sonny rollins LP i was looking for the other night ... in the trade-in bin lol
#nowplaying #jazz #vinyl

Towards fully predictive gyrokinetic full-f simulations
A. C. D. Hoffmann, T. N. Bernard, M. Francisquez, G. W. Hammett, A. Hakim, J. Boedo, R. Rizkallah, C. K. Tsui, the TCV team
https://arxiv.org/abs/2510.11874

Towards fully predictive gyrokinetic full-f simulations
Designing economical magnetic confinement fusion power plants motivates computational tools that can estimate plasma behavior from engineering parameters without direct reliance on experimental measurement of the plasma profiles. In this work, we present full-$f$ global gyrokinetic (GK) turbulence simulations of edge and scrape-off layer turbulence in tokamaks that use only magnetic geometry, heating power, and particle inventory as inputs. Unlike many modeling approaches that employ free param…

Integrated Localization, Mapping, and Communication through VCSEL-Based Light-emitting RIS (LeRIS)
Rashid Iqbal, Dimitrios Bozanis, Dimitrios Tyrovolas, Christos K. Liaskos, Muhammad Ali Imran, George K. Karagiannidis, Hanaa Abumarshoud
https://arxiv.org/abs/2510.08071

Integrated Localization, Mapping, and Communication through VCSEL-Based Light-emitting RIS (LeRIS)
This paper presents a light-emitting reconfigurable intelligent surface (LeRIS) architecture that integrates vertical cavity surface emitting lasers (VCSELs) to jointly support user localization, obstacle-aware mapping, and millimeter-wave (mmWave) communication in programmable wireless environments (PWEs). Unlike prior light-emitting diode (LED)-based LeRIS designs with diffuse emission or LiDAR-assisted schemes requiring bulky sensing modules, the proposed VCSEL-based approach exploits narrow…

Series D, Episode 03 - Traitor
VILA: He's not the man for the job. Tarrant has about as much subtlety as a Tarzian Warg Strangler. All I'm saying is Tarrant's going to walk straight into trouble and get himself killed or captured. If he's dead he can't talk. But if the Federation find out we're hanging around, we won't stand a chance. Not in this ship. At least in the Liberator we could always outrun them.
AVON: Vila, if the Federation do have some ne…

Data-driven approach to the design of complexing agents for trivalent transuranium elements
Kirill V. Karpov, Ivan S. Pikulin, Grigory V. Bokov, Artem A. Mitrofanov
https://arxiv.org/abs/2509.21362

Data-driven approach to the design of complexing agents for trivalent transuranium elements
The properties of complexes with transuranium elements have long been the object of research in various fields of chemistry. However, their experimental study is complicated by their rarity, high cost and special conditions necessary for working with such elements, and the complexity of quantum chemical calculations does not allow their use for large systems. To overcome these problems, we used modern machine learning methods to create a novel neural network architecture that allows to use avai…

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
https://arxiv.org/abs/2510.07314

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is understanding plasma turbulence, which significantly impairs plasma confinement, and is vital for next-generation reactor design. Plasma turbulence is governed by the nonlinear gyrokinetic equation, which evolves a 5D distribution function over time. Due to its high computational cost, reduced-order models are often employed in practice to approximate turb…