Tootfinder

Heute mache ich mit Wissenschaftler*innen der Tierärztlichen Hochschule #Hannover einen Workshop darüber, wie man mit #wissenschaftskommunikation anfängt und wie man sich und sein Thema dafür strukturiert. Ich freu mich!

MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains
Dewei Wang, Xinmiao Wang, Xinzhe Liu, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
https://arxiv.org/abs/2506.08840

MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains
Humanoid robots have demonstrated robust locomotion capabilities using Reinforcement Learning (RL)-based approaches. Further, to obtain human-like behaviors, existing methods integrate human motion-tracking or motion prior in the RL framework. However, these methods are limited in flat terrains with proprioception only, restricting their abilities to traverse challenging terrains with human-like gaits. In this work, we propose a novel framework using a mixture of latent residual experts with mu…

How to spot the #RustLang fanatic (me) inside of the #solidity codebase. Newtypes, newtypes everywhere!

Besuch am Würstelstand - Söder und Stocker genießen „spezielle“ Bratwurst #News #Nachrichten

Implications of Rastall Theory on Stellar Solutions admitting Vanishing Complexity: A New Perspective
Tayyab Naseer
https://arxiv.org/abs/2507.07425 https:…

Implications of Rastall Theory on Stellar Solutions admitting Vanishing Complexity: A New Perspective
In this paper, the notion of complexity factor and its implication is extended to the framework of non-conserved Rastall theory of gravity. First of all, the field equations governing a static spherical geometry associated with the anisotropic fluid are formulated. The mass function corresponding to the considered geometry is defined in terms of both matter and geometric quantities. The orthogonal decomposition of the Riemann tensor is then performed through which a family of scalar quantities,…

Spin-orbit misalignment and residual eccentricity are evidence that neutron star-black hole mergers form through triple star evolution
Jakob Stegmann, Jakub Klencki
https://arxiv.org/abs/2506.09121

Spin-orbit misalignment and residual eccentricity are evidence that neutron star-black hole mergers form through triple star evolution
There is growing evidence that a substantial fraction of the neutron star-black holes (NSBHs) detected through gravitational waves merge with non-zero eccentricity or large BH spin-orbit misalignment. This is in tension with the leading formation scenarios to date. Residual eccentricity rules out formation through isolated binary star evolution, while NS natal kicks and the unequal masses of NSBHs inhibit efficient pairing in dense stellar environments. Here, we report that all observed propert…

‼️Gern boosten für mehr Antworten‼️
😃Seit September 2023 immer falsch geraten. 😛
In wie vielen #Fernsehsendungen des öffentlich-rechtlichen Rundfunks wurde im Februar 2025 über den #Klimawandel und dessen Drumherum sowie den

Klimawandel im Fokus: Analyse der Berichterstattung im öffentlich-rechtlichen Fernsehen 2025
Wird der Klimawandel im öffentlich-rechtlichen Rundfunk ausreichend thematisiert? Eine umfassende Analyse zeigt Zahlen und Trends in der Berichterstattung.

Daten von US-Militärsatelliten für die Forschung: Bewährte Praxis vor dem Aus
Seit mehr als einem halben Jahrhundert sammeln US-Militärsatelliten Wetterdaten, seit Jahrzehnten gingen die auch die zivile Forschung. Damit ist Schluss.

Does Residuals-on-Residuals Regression Produce Representative Estimates of Causal Effects?
Apoorva Lal, Winston Chou
https://arxiv.org/abs/2506.07462 https…

Does Residuals-on-Residuals Regression Produce Representative Estimates of Causal Effects?
Double Machine Learning is commonly used to estimate causal effects in large observational datasets. The "residuals-on-residuals" regression estimator (RORR) is especially popular for its simplicity and computational tractability. However, when treatment effects are heterogeneous, the proper interpretation of RORR may not be well understood. We show that, for many-valued treatments with continuous dose-response functions, RORR converges to a conditional variance-weighted average of derivatives …

Habe dies von einer Bekannten bekommen, und ich liebe alles daran. #LLMfail