Tootfinder

FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control
Tan Jing, Shiting Chen, Yangfan Li, Weisheng Xu, Renjing Xu
https://arxiv.org/abs/2508.19926

FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control
Unified physics-based humanoid controllers are pivotal for robotics and character animation, yet models that excel on gentle, everyday motions still stumble on explosive actions, hampering real-world deployment. We bridge this gap with FARM (Frame-Accelerated Augmentation and Residual Mixture-of-Experts), an end-to-end framework composed of frame-accelerated augmentation, a robust base controller, and a residual mixture-of-experts (MoE). Frame-accelerated augmentation exposes the model to high-…

📅 13.11.2025, 9:30–13:00
KI und Informationskompetenz: Rechtliche Grundlagen für Bibliotheken
Online-Workshop zu Urheberrecht, Datenschutz, KI-Verordnung und guter wissenschaftlicher Praxis im Umgang mit generativer KI.
Mit Rechtsanwalt Fabian Rack (@iRights.Law @… )
👉 Jetzt anmelden:

Kiedy piszesz bibliotekę w #RustLang, bo chcesz bezpiecznego kodu, a zamiast tego dostajesz jakiś paskudny #heisenbug z przekłamaniem danych.
https://…

Alleviating the $H_0$ tension in Rastall gravity
R. Mohebi, Kh. Saaidi T. Golanbari, K. Karami
https://arxiv.org/abs/2508.20129 https://arxiv.org/pdf/2508.…

Alleviating the $H_0$ tension in Rastall gravity
The tension between measurements of the Hubble constant $H_0$ locally and the value inferred from Planck satellite have provided a strong motivation to explore theoretical frameworks beyond the standard cosmological model ($Λ$CDM). To this aim, we investigate the $H_0$ tension in the Rastall $Λ$CDM model (R-$Λ$CDM), formulated within the Rastall gravity framework as a phenomenological extension of General Relativity featuring a non-conserved energy-momentum tensor. To constrain the cosmologi…

Wirbel in Schladming - Würstelstand soll für Kebab-Imbiss weichen #News #Nachrichten

Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo
https://arxiv.org/abs/2508.20359

Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
In music recommendation systems, multimodal interest learning is pivotal, which allows the model to capture nuanced preferences, including textual elements such as lyrics and various musical attributes such as different instruments and melodies. Recently, methods that incorporate multimodal content features through semantic IDs have achieved promising results. However, existing methods suffer from two critical limitations: 1) intra-modal semantic degradation, where residual-based quantization p…

Stability and Generalization for Bellman Residuals
Enoch H. Kang, Kyoungseok Jang
https://arxiv.org/abs/2508.18741 https://arxiv.org/pdf/2508.18741

Stability and Generalization for Bellman Residuals
Offline reinforcement learning and offline inverse reinforcement learning aim to recover near-optimal value functions or reward models from a fixed batch of logged trajectories, yet current practice still struggles to enforce Bellman consistency. Bellman residual minimization (BRM) has emerged as an attractive remedy, as a globally convergent stochastic gradient descent-ascent based method for BRM has been recently discovered. However, its statistical behavior in the offline setting remains lar…

Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
Erin Hartman, Chad Hazlett, Arisa Sadeghpour
https://arxiv.org/abs/2507.19607

Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
Weighting procedures are used in observational causal inference to adjust for covariate imbalance within the sample. Common practice for inference is to estimate robust standard errors from a weighted regression of outcome on treatment. However, it is well known that weighting can inflate variance estimates, sometimes significantly, leading to standard errors and confidence intervals that are overly conservative. We instead examine and recommend the use of robust standard errors from a weighted…

Die Gefahr ist, dass Konservative für ihre konservative Perspektive kämpfen und dabei entweder übersehen oder in Kauf nehmen, dass sie mit der Erzählung, die ihre Wirklichkeit ist, auch denen den Weg bereiten, die die Demokratie abschaffen wollen – die den öffentlich-rechtlichen Rundfunk nicht nur verschlanken oder reformieren wollen, sondern die ihn am liebsten ganz weg hätten. | Ralf Heimann | Altpapier am 25. September 2025 – Ist das noch ein Boxkampf? |