Tootfinder

„Policymakers need to set clear emissions targets and stronger financial incentives for use of lower emission materials, while industry must establish common standards for easier adoption of these materials into value chains.“
Jens-Peter Saul
CEO, #Ramboll

Jens-Peter Saul: The 100 Most Influential Climate Leaders of 2025
Find out why Jens-Peter Saul is on TIME's 2025 list of the 100 most influential leaders driving business climate action.

What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
Qiyue Sun, Qiming Huang, Yang Yang, Hongjun Wang, Jianbo Jiao
https://arxiv.org/abs/2508.21770

What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
Humans usually show exceptional generalisation and discovery ability in the open world, when being shown uncommon new concepts. Whereas most existing studies in the literature focus on common typical data from closed sets, open-world novel discovery is under-explored in videos. In this paper, we are interested in asking: \textit{What if atypical unusual videos are exposed in the learning process?} To this end, we collect a new video dataset consisting of various types of unusual atypical data (…

How can the use of different modes of survey data collection introduce bias? A simple introduction to mode effects using directed acyclic graphs (DAGs)
Georgia D Tomova, Richard J Silverwood, Peter WG Tennant, Liam Wright
https://arxiv.org/abs/2510.00900

How can the use of different modes of survey data collection introduce bias? A simple introduction to mode effects using directed acyclic graphs (DAGs)
Survey data are self-reported data collected directly from respondents by a questionnaire or an interview and are commonly used in epidemiology. Such data are traditionally collected via a single mode (e.g. face-to-face interview alone), but use of mixed-mode designs (e.g. offering face-to-face interview or online survey) has become more common. This introduces two key challenges. First, individuals may respond differently to the same question depending on the mode; these differences due to mea…

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

Los souvenirs del concierto de Manuel García el sšbado.
El de arriba es «La Casa de Asterión», el segundo disco de Mecšnica Popular, la banda en la que formó parte Manuel García a finales de los '90. El de abajo es «Pšnico» su primer disco como solista que este año cumple 20 años desde su lanzamiento.
#ManuelGarcía

Non-Euclidean Broximal Point Method: A Blueprint for Geometry-Aware Optimization
Kaja Gruntkowska, Peter Richt\'arik
https://arxiv.org/abs/2510.00823 https://

Non-Euclidean Broximal Point Method: A Blueprint for Geometry-Aware Optimization
The recently proposed Broximal Point Method (BPM) [Gruntkowska et al., 2025] offers an idealized optimization framework based on iteratively minimizing the objective function over norm balls centered at the current iterate. It enjoys striking global convergence guarantees, converging linearly and in a finite number of steps for proper, closed and convex functions. However, its theoretical analysis has so far been confined to the Euclidean geometry. At the same time, emerging trends in deep lear…

On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
Amirhossein Azarbahram, Onel L. A. L\'opez, Petar Popovski, Matti Latva-aho
https://arxiv.org/abs/2508.21640

On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
This paper investigates the deployment of radio stripe systems for indoor radio-frequency (RF) wireless power transfer (WPT) in line-of-sight near-field scenarios. The focus is on environments where energy demand is concentrated in specific areas, referred to as 'hotspots', spatial zones with higher user density or consistent energy requirements. We formulate a joint clustering and radio stripe deployment problem that aims to maximize the minimum received power across all hotspots. To address t…

Crosslisted article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- How can the use of different modes of survey data collection introduce bias? A simple introductio...
Georgia D Tomova, Richard J Silverwood, Peter WG Tennant, Liam Wright

Crosslisted article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
Artavazd Maranjyan, Peter Richt\'arik

Algorithmic Collective Action with Multiple Collectives
Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici
https://arxiv.org/abs/2508.19149 http…

Algorithmic Collective Action with Multiple Collectives
As learning systems increasingly influence everyday decisions, user-side steering via Algorithmic Collective Action (ACA)-coordinated changes to shared data-offers a complement to regulator-side policy and firm-side model design. Although real-world actions have been traditionally decentralized and fragmented into multiple collectives despite sharing overarching objectives-with each collective differing in size, strategy, and actionable goals, most of the ACA literature focused on single collec…