Tootfinder

CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps
Franz Hanke, Antonia Bieringer, Olaf Wysocki, Boris Jutzi
https://arxiv.org/abs/2508.15672 https://

CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps
Detailed 3D building models are crucial for urban planning, digital twins, and disaster management applications. While Level of Detail 1 (LoD)1 and LoD2 building models are widely available, they lack detailed facade elements essential for advanced urban analysis. In contrast, LoD3 models address this limitation by incorporating facade elements such as windows, doors, and underpasses. However, their generation has traditionally required manual modeling, making large-scale adoption challenging. …

🇺🇦 Auf radioeins läuft...
TOKiMONSTA feat. Channel Tres:
🎵 Naked
#NowPlaying #TOKiMONSTA #ChannelTres
https://tokimonsta.bandcamp.com/track/naked-feat-channel-tres
https://open.spotify.com/track/1EzfgoY8TVuHrX402tzK7D

Dirac monopole magnets in non-Hermitian systems
Haiyang Yu, Tao Jiang, Li-Chen Zhao
https://arxiv.org/abs/2508.15186 https://arxiv.org/pdf/2508.15186

Dirac monopole magnets in non-Hermitian systems
We theoretically establish that non-Hermitian perturbations induce a topological transformation of point-like Dirac monopoles into extended monopole distributions, characterized by distinct charge configurations emergent from three distinct Berry connection forms. Using piecewise adiabatic evolution, we confirm the validity of these configurations through observations of complex geometric phases. Most critically, we find a quantitative relation $Δϕ_d = Δϕ_g$, which quantifies how cumulative…

Bayesian Optimization with Expected Improvement: No Regret and the Choice of Incumbent
Jingyi Wang, Haowei Wang, Szu Hui Ng, Cosmin G. Petra
https://arxiv.org/abs/2508.15674 htt…

Bayesian Optimization with Expected Improvement: No Regret and the Choice of Incumbent
Expected improvement (EI) is one of the most widely used acquisition functions in Bayesian optimization (BO). Despite its proven empirical success in applications, the cumulative regret upper bound of EI remains an open question. In this paper, we analyze the classic noisy Gaussian process expected improvement (GP-EI) algorithm. We consider the Bayesian setting, where the objective is a sample from a GP. Three commonly used incumbents, namely the best posterior mean incumbent (BPMI), the best s…

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction
Mingyuan Luo, Xin Yang, Zhongnuo Yan, Yan Cao, Yuanji Zhang, Xindi Hu, Jin Wang, Haoxuan Ding, Wei Han, Litao Sun, Dong Ni
https://arxiv.org/abs/2506.15835

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction
Three-dimensional (3D) ultrasound (US) aims to provide sonographers with the spatial relationships of anatomical structures, playing a crucial role in clinical diagnosis. Recently, deep-learning-based freehand 3D US has made significant advancements. It reconstructs volumes by estimating transformations between images without external tracking. However, image-only reconstruction poses difficulties in reducing cumulative drift and further improving reconstruction accuracy, particularly in scenar…

Time-inconsistent reinsurance and investment optimization problem with delay under random risk aversion
Jian-hao Kang, Zhun Gou, Nan-jing Huang
https://arxiv.org/abs/2509.15506 …

Time-inconsistent reinsurance and investment optimization problem with delay under random risk aversion
This paper considers a newly delayed reinsurance and investment optimization problem incorporating random risk aversion, in which an insurer pursues maximization of the expected certainty equivalent of her/his terminal wealth and the cumulative delayed information of the wealth over a period. Specially, the insurer's surplus dynamics are approximated using a drifted Brownian motion, while the financial market is described by the Black-Scholes model. Moreover, the performance-linked capital flow…

Petrichor 7.3«v
Black IPA with Gin Oak. Brewed by Temporal Artisan Ales in collaboration with Boombox Brewing
<a href="https://www.temporalales.com" rel="noreferrer nofollow">www.temporalales.com</a>
I only got one can of this: I think I will have to go back to …

The Event Rate and Luminosity Function of Fermi/GBM Gamma-Ray Bursts
Yang Liu, Zhi-Bin Zhang, Xiao-Fei Dong, Long-Biao Li, Xiu-Yun Du
https://arxiv.org/abs/2507.16595

The Event Rate and Luminosity Function of Fermi/GBM Gamma-Ray Bursts
Luminosity function and event rate of Gamma-Ray Bursts (GRBs) are easily biased by the instrument and selection effects. We select 115 Fermi/GBM GRBs with good spectra fitted by a smoothly broken power-law function. The $τ$-statistic method is used to describe how the luminosity evolves with redshift. The non-parametric Lynden-Bell's c$^{-}$ method has been applied to get the cumulative luminosity function and event rate which is compared with the star formation history. How the selection and …

Die Eindrücke vom #Canaletto #Stadtfest #Dresden beunruhigen mich sehr.
Aber gut, dass man die Leute aus anderen Vierteln mal so sehen konnte.

Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models
Jun Ma, Vadim Marmer, Zhengfei Yu
https://arxiv.org/abs/2509.15401 https://

Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models
In this paper, we develop inference methods for the distribution of heterogeneous individual treatment effects (ITEs) in the nonseparable triangular model with a binary endogenous treatment and a binary instrument of Vuong and Xu (2017) and Feng, Vuong, and Xu (2019). We focus on the estimation of the cumulative distribution function (CDF) of the ITE, which can be used to address a wide range of practically important questions such as inference on the proportion of individuals with positive ITE…