Tootfinder

📣 Wir möchten sehr herzlich zum Workshop "Digitale Annotation von Grafiken mit Antelope" einladen! In dem Kurs werden die Funktionalitäten von Antelope anhand von Daten aus GESAH vorgestellt und es wird erläutert, wie diese für die eigene Forschung genutzt werden können.
📆 Der Kurs findet am Mittwoch, den 12.11., von 10–12 Uhr statt.
📥Anmeldungen sind noch bis morgen, 5.11. möglich!

Psychologically Enhanced AI Agents
Maciej Besta, Shriram Chandran, Robert Gerstenberger, Mathis Lindner, Marcin Chrapek, Sebastian Hermann Martschat, Taraneh Ghandi, Patrick Iff, Hubert Niewiadomski, Piotr Nyczyk, J\"urgen M\"uller, Torsten Hoefler
https://arxiv.org/abs/2509.04343

Psychologically Enhanced AI Agents
We introduce MBTI-in-Thoughts, a framework for enhancing the effectiveness of Large Language Model (LLM) agents through psychologically grounded personality conditioning. Drawing on the Myers-Briggs Type Indicator (MBTI), our method primes agents with distinct personality archetypes via prompt engineering, enabling control over behavior along two foundational axes of human psychology, cognition and affect. We show that such personality priming yields consistent, interpretable behavioral biases …

Mögen Anne Ameri-Siemens und Many Ameri an ihrem Geld doch ersticken.
Und ihre "We explore the things that make us human: curiosity, creativity, empathy, exchange"-Agentur gleich mit.
https://www.morgenpost.de/bezirke/pan…

An iterated $I$-projection procedure for solving the generalized minimum information checkerboard copula problem
Ivan Kojadinovic, Tommaso Martini
https://arxiv.org/abs/2509.02829

An iterated $I$-projection procedure for solving the generalized minimum information checkerboard copula problem
The minimum information copula principle initially suggested in \cite{MeeBed97} is a maximum entropy-like approach for finding the least informative copula, if it exists, that satisfies a certain number of expectation constraints specified either from domain knowledge or the available data. We first propose a generalization of this principle allowing the inclusion of additional constraints fixing certain higher-order margins of the copula. We next show that the associated optimization problem h…

Economic Bidding Strategy of Electric Vehicles in Real-Time Electricity Markets based on Marginal Opportunity Value
Zhen Zhu, Hongcai Zhang, Yonghua Song
https://arxiv.org/abs/2510.00744

Economic Bidding Strategy of Electric Vehicles in Real-Time Electricity Markets based on Marginal Opportunity Value
The participation of electric vehicle (EV) aggregators in real-time electricity markets offers promising revenue opportunities through price-responsive energy arbitrage. A central challenge in economic bidding lies in quantifying the marginal opportunity value of EVs' charging and discharging decisions. This value is implicitly defined and dynamically shaped by uncertainties in electricity prices and availability of EV resources. In this paper, we propose an efficient bidding strategy that enab…

Double White Dwarf Binaries in SDSS-V DR19 : A catalog of DA white dwarf binaries and constraints on the binary population
Gautham Adamane Pallathadka, Vedant Chandra, Nadia L. Zakamska, Nicole R. Crumpler, Stefan M. Arseneau, Kareem El-Badry, Boris T. G\"aensicke, Yossef Zenati, J. J. Hermes, Axel D. Schwope, Carles Badenes, Nicola Pietro Gentile Fusillo, Sean Morrison, Tim Cunningham, Priyanka Chakraborty, Gagik Tovmasian, Dmitry Bizyaev, Kaike Pan, Scott F. Anderson, Sebastian …

Double White Dwarf Binaries in SDSS-V DR19 : A catalog of DA white dwarf binaries and constraints on the binary population
The fifth-generation Sloan Digital Sky Survey (SDSS-V) includes the first large-scale spectroscopic survey of white dwarfs (WDs) in the era of Gaia parallaxes. SDSS-V collects multiple exposures per target, making it ideal for binary detection. We present a search for hydrogen atmosphere (DA) double white dwarf (DWD) binaries in this rich dataset. We quantify radial velocity variations between sub-exposures to identify binary candidates, and also measure the orbital period for a subset of DWD b…

Marginal Girsanov Reweighting: Stable Variance Reduction via Neural Ratio Estimation
Yan Wang, Hao Wu, Simon Olsson
https://arxiv.org/abs/2509.25872 https://

Marginal Girsanov Reweighting: Stable Variance Reduction via Neural Ratio Estimation
Recovering unbiased properties from biased or perturbed simulations is a central challenge in rare-event sampling. Classical Girsanov Reweighting (GR) offers a principled solution by yielding exact pathwise probability ratios between perturbed and reference processes. However, the variance of GR weights grows rapidly with time, rendering it impractical for long-horizon reweighting. We introduce Marginal Girsanov Reweighting (MGR), which mitigates variance explosion by marginalizing over interme…

Galaxy-halo internal alignments across cosmic time
Agustina V. Marsengo-Colazo, Facundo Rodriguez, Manuel Merch\'an
https://arxiv.org/abs/2509.01666 https://

Galaxy-halo internal alignments across cosmic time
Investigations of intrinsic alignments suggest a link between the alignment of a central galaxy's major axis with the galaxy distribution and its internal galaxy-halo shape alignment. In contrast, blue central galaxies typically exhibit almost no alignment signal, owing to a stronger internal misalignment with their halo. We investigated how the internal alignment between the principal axes of the stellar and dark matter components evolves over time as a function of the total mass of central ga…

Hybrid quantum-classical systems: statistics, entropy, microcanonical ensemble and its connection to the canonical ensemble
J. L. Alonso, C. Bouthelier-Madre, A. Castro, J. Clemente-Gallardo, J. A. Jover-Galtier
https://arxiv.org/abs/2509.02416

Hybrid quantum-classical systems: statistics, entropy, microcanonical ensemble and its connection to the canonical ensemble
We describe in detail a mathematical framework in which statistical ensembles of hybrid classical- quantum systems can be properly described. We show how a maximum entropy principle can be applied to derive the microcanonical ensemble of hybrid systems. We investigate its properties, and in particular how the microcanonical ensemble and its marginal classical and quantum ensembles can be defined for arbitrarily small range of energies for the whole system. We show how, in this situations, the e…

The Thinking Spectrum: An Emperical Study of Tunable Reasoning in LLMs through Model Merging
Xiaochong Lan, Yu Zheng, Shiteng Cao, Yong Li
https://arxiv.org/abs/2509.22034 https…

The Thinking Spectrum: An Emperical Study of Tunable Reasoning in LLMs through Model Merging
The growing demand for large language models (LLMs) with tunable reasoning capabilities in many real-world applications highlights a critical need for methods that can efficiently produce a spectrum of models balancing reasoning depth and computational cost. Model merging has emerged as a promising, training-free technique to address this challenge by arithmetically combining the weights of a general-purpose model with a specialized reasoning model. While various merging techniques exist, their…