Tootfinder

Synthetic Data Generation for Emotional Depth Faces: Optimizing Conditional DCGANs via Genetic Algorithms in the Latent Space and Stabilizing Training with Knowledge Distillation
Seyed Muhammad Hossein Mousavi, S. Younes Mirinezhad
https://arxiv.org/abs/2508.09188

Synthetic Data Generation for Emotional Depth Faces: Optimizing Conditional DCGANs via Genetic Algorithms in the Latent Space and Stabilizing Training with Knowledge Distillation
Affective computing faces a major challenge: the lack of high-quality, diverse depth facial datasets for recognizing subtle emotional expressions. We propose a framework for synthetic depth face generation using an optimized GAN with Knowledge Distillation (EMA teacher models) to stabilize training, improve quality, and prevent mode collapse. We also apply Genetic Algorithms to evolve GAN latent vectors based on image statistics, boosting diversity and visual quality for target emotions. The ap…

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
Yuanming Zhang, Yan Lin, Arijit Khan, Huaiyu Wan
https://arxiv.org/abs/2510.09316 https://

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
A prompt is a natural language instruction that defines a specific task for a large language model (LLM) and serves as the primary interface for human-LLM interaction. With the growing deployment of LLMs, diverse prompt datasets are emerging from platforms such as GitHub and social media. These datasets span a wide array of applications and content types, facilitating both broader LLM utilization and improved prompt engineering. In this work, we--for the first time--have compiled an extensive l…

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Wenyao Zhang, Hongsi Liu, Bohan Li, Jiawei He, Zekun Qi, Yunnan Wang, Shengyang Zhao, Xinqiang Yu, Wenjun Zeng, Xin Jin
https://arxiv.org/abs/2510.09320

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Current self-supervised monocular depth estimation (MDE) approaches encounter performance limitations due to insufficient semantic-spatial knowledge extraction. To address this challenge, we propose Hybrid-depth, a novel framework that systematically integrates foundation models (e.g., CLIP and DINO) to extract visual priors and acquire sufficient contextual information for MDE. Our approach introduces a coarse-to-fine progressive learning framework: 1) Firstly, we aggregate multi-grained featu…

A novel method and dataset for depth-guided image deblurring from smartphone Lidar
Antonio Montanaro, Diego Valsesia
https://arxiv.org/abs/2509.09241 https://

A novel method and dataset for depth-guided image deblurring from smartphone Lidar
Modern smartphones are equipped with Lidar sensors providing depth-sensing capabilities. Recent works have shown that this complementary sensor allows to improve various tasks in image processing, including deblurring. However, there is a current lack of datasets with realistic blurred images and paired mobile Lidar depth maps to further study the topic. At the same time, there is also a lack of blind zero-shot methods that can deblur a real image using the depth guidance without requiring exte…

GMIMS-DRAGONS: A Faraday Depth Survey of the Northern Sky Covering 350 to 1030 MHz
Anna Ordog, Rebecca A. Booth, T. L. Landecker, Ettore Carretti, Alex S. Hill, Jo-Anne C. Brown, Artem Davydov, Leonardo Moutinho Caffarello, Luca B. Galler, Jonas Flygare, Jennifer L. West, A. G. Willis, Mehrnoosh Tahani, G. J. Hovey, Dustin Lagoy, Stephen Harrison, Mike Smith, Charl Baard, Rob H. Messing, D. A. Del Rizzo, Benoit Robert, Timothy Robishaw, John M. Dickey, George Morgan, Ian R. Kennedy, Ma…

GMIMS-DRAGONS: A Faraday Depth Survey of the Northern Sky Covering 350 to 1030 MHz
Polarized synchrotron emission at meter to centimeter wavelengths provides an effective tracer of the Galactic magnetic field. Calculating Faraday depth, the most useful parameter for mapping the line-of-sight magnetic field, requires observations covering wide frequency bands with many channels. As part of the Global Magneto-Ionic Medium Survey we have observed polarized emission spanning 350-1030 MHz over the Northern sky, in the declination range ${-20^{\circ}}\leqδ\leq{90^{\circ}}$. We use…

Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation
Steven Yang, Xiaoyu Tian, Kshitij Goel, Wennie Tabib
https://arxiv.org/abs/2509.08159

Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation
This paper presents a methodology to predict metric depth from monocular RGB images and an inertial measurement unit (IMU). To enable collision avoidance during autonomous flight, prior works either leverage heavy sensors (e.g., LiDARs or stereo cameras) or data-intensive and domain-specific fine-tuning of monocular metric depth estimation methods. In contrast, we propose several lightweight zero-shot rescaling strategies to obtain metric depth from relative depth estimates via the sparse 3D fe…

Raiders release updated unofficial depth chart for Week 2 vs. Chargers https://www.raiders.com/news/raiders-release-updated-unofficial-depth-chart-for-week-2-vs-los-angeles-chargers

Cowboys RB Miles Sanders out for season with knee and ankle injuries; Jaydon Blue climbs depth chart

https://www.cbssports.com/nfl/news/cowboys

In case you're into #OpenTelemetry (or want to start learning about it), there are still a few seats left for the workshop I'll be giving at #YOW in Melbourne, Australia.
I have prepared tons of material!

Resource quantification for programming low-depth quantum circuits
Entong He, Yuxiang Yang
https://arxiv.org/abs/2509.09642 https://arxiv.org/pdf/2509.0964…

Resource quantification for programming low-depth quantum circuits
Noisy intermediate-scale quantum (NISQ) devices pave the way to implement quantum algorithms that exhibit supremacy over their classical counterparts. Due to the intrinsic noise and decoherence in the physical system, NISQ computations are naturally modeled as large-size but low-depth quantum circuits. Practically, to execute such quantum circuits, we need to pass commands to a programmable quantum computer. Existing programming approaches, dedicated to generic unitary transformations, are inef…

Psi-Turing Machines: Bounded Introspection for Complexity Barriers and Oracle Separations
Rafig Huseynzade
https://arxiv.org/abs/2510.08577 https://arxiv.o…

Psi-Turing Machines: Bounded Introspection for Complexity Barriers and Oracle Separations
We introduce Psi-Turing Machines (Psi-TM): classical Turing machines equipped with a constant-depth introspection interface $ ι$ and an explicit per-step information budget $ B(d,n)=c\,d\log_2 n $. With the interface frozen, we develop an information-theoretic lower-bound toolkit: Budget counting, $ Ψ$-Fooling, and $ Ψ$-Fano, with worked examples $ L_k $ and $ L_k^{\mathrm{phase}} $. We prove an oracle-relative separation $ P^Ψ \neq NP^Ψ $ and a strict depth hierarchy, reinforced by an Ant…

Purple and white Cosmos Flower with a very narrow depth of field that turns the background into a psychedelic field of green and brown smudges and white sparkles
#photo #photography #flowers

The Depth Formula for modules over quotients of Gorenstein rings
Tran Nguyen An, Pham Hung Quy
https://arxiv.org/abs/2509.09447 https://arxiv.org/pdf/2509.…

The Depth Formula for modules over quotients of Gorenstein rings
A foundational result by C. Huneke and V. Trivedi provides a formula for the depth of an ideal in terms of height, computed over a finite set of prime ideals, for rings that are homomorphic images of regular rings. Building on a result by the first author for local quotients of Cohen-Macaulay rings, this paper first gives a new proof and derives a similar formula for the finiteness dimension. Our main result then establishes the depth formula for non-local rings that are homomorphic images of a…

Most dramatic sky picture of the year #Uckermark

Giants release unofficial depth chart for Week 2 https://www.giants.com/news/giants-depth-chart-week-2-nfl-dallas-cowboys

Reanalysis of the eclipses of LHS 1140 c: No evidence of an atmosphere and implications for the internal structure of the planet
Alexandra Rochon, \'Etienne Artigau, Drew Weisserman, Lisa Dang, Ren\'e Doyon, Charles Cadieux, Ryan Cloutier
https://arxiv.org/abs/2510.11397

Reanalysis of the eclipses of LHS 1140 c: No evidence of an atmosphere and implications for the internal structure of the planet
We present the reanalysis of three 15 micron JWST/MIRI secondary eclipses of LHS 1140 c, a warm super-Earth (R$_{\rm{p}}$ = 1.272 R$_{\oplus}$) in a 3.78-day orbit around an M4.5 dwarf. We present a novel method for data reduction that leverages spatial derivatives of the point-spread function and compare it to widely used aperture photometry. Both methods yield eclipse depth consistent within 1 sigma of the values reported in the literature. We measure an eclipse depth of 271$^{+31}_{-30}$ ppm…

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

A description of the depth-$r$ Bernstein center for rational depths
Sarbartha Bhattacharya, Tsao-Hsien Chen
https://arxiv.org/abs/2510.07845 https://arxiv.…

A description of the depth-$r$ Bernstein center for rational depths
Let $G$ be a split connected reductive over a non-archimedean local field $k$. In this paper we give a description of the depth-$r$ Bernstein center of $G(k)$ for rational depths as a limit of depth-$r$ standard parahoric Hecke algebras, extending our previous work in the integral depths case (arXiv:2407.15128). Using this description, we construct maps from the space of stable functions on depth-$r$ Moy-Prasad quotients to the depth-$r$ center, and attach depth-$r$ Deligne-Lusztig parameters t…

Cosmic $\tau$ensions Indirectly Correlate with Reionization Optical Depth
Itamar J. Allali, Lingfeng Li, Praniti Singh, JiJi Fan
https://arxiv.org/abs/2509.09678 https://…

Cosmic $τ$ensions Indirectly Correlate with Reionization Optical Depth
The reionization optical depth $τ_{\rm reio}$ has interesting connections to existing cosmological anomalies. As first studied in the context of the Hubble tension in our previous paper, a larger $τ_{\rm reio}$, which could be achieved by removing the Planck low-$\ell$ polarization data, could boost $H_0$ slightly, resulting in a mild reduction of the tension between the early- and late-universe determinations of $H_0$. It has been shown later that a larger $τ_{\rm reio}$ could also relieve …

@gamingthepast@historians.social I find your posts highly interesting, though I rarely comment. In mastodon, one should interact actively, but I'm not used to taking people's (reader's) time by idle chatter when I don't have any in-depth wisdom to add (cultural thing as a Finn)

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics
Yuchen Lu, Run Yang, Yichen Zhang, Shuguang Yu, Runpeng Dai, Ziwei Wang, Jiayi Xiang, Wenxin E, Siran Gao, Xinyao Ruan, Yirui Huang, Chenjing Xi, Haibo Hu, Yueming Fu, Qinglan Yu, Xiaobing Wei, Jiani Gu, Rui Sun, Jiaxuan Jia, Fan Zhou
https://arxiv.org/abs/2510.095…

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics
Large language models (LLMs) have demonstrated remarkable advances in mathematical and logical reasoning, yet statistics, as a distinct and integrative discipline, remains underexplored in benchmarking efforts. To address this gap, we introduce \textbf{StatEval}, the first comprehensive benchmark dedicated to statistics, spanning both breadth and depth across difficulty levels. StatEval consists of 13,817 foundational problems covering undergraduate and graduate curricula, together with 2374 re…

Moody Urbanity - UP 🔝
情绪化城市 - 上面 🔝
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

Raiders release updated unofficial depth chart for Week 2 vs. Chargers https://www.raiders.com/news/raiders-release-updated-unofficial-depth-chart-for-week-2-vs-los-angeles-chargers

On the monodromy conjecture for determinantal varieties
Yifan Chen, Huaiqing Zuo
https://arxiv.org/abs/2510.11425 https://arxiv.org/pdf/2510.11425

On the monodromy conjecture for determinantal varieties
This paper presents a proof of the monodromy conjecture for determinantal varieties. Our strategy centers on an in-depth analysis of monodromy zeta functions, leveraging a generalized A'Campo formula, an examination of multiple contact loci, and the exploitation of the intrinsic symmetric structures inherent to these varieties. Keywords. monodromy conjecture, determinantal varieties, monodromy zeta function.

This is my curated anarchist playlist, featuring ideas, history, and voices that challenge the existing order.
I recommend it to anyone interested in the topic to watch it in full to grasp its depth and understand why it remains so essential today.
https://www.youtube.com/playlist?list=PLTH

Sensor Tower: as of July 2025, Rapido had 50M MAUs on Android in India vs. Uber's 30M; in the four-wheeler cab segment, Rapido holds ~30% share vs. Uber's ~50% (Pranav Mukul/The Economic Times)
https://economictimes.indiatimes.com/t…

ETtech in-depth: Rapido races to the top, keeping Uber on edge
Bengaluru-based mobility company Rapido now has nearly half the share of overall ride-hailing market, with monthly active users at 50 million versus Uber’s 30 million in July. Not jus tthat, Rapido has now made significant inroads in four-wheeler cab hailing as well, grabbing nearly 30% share of that segment.

Unify Variables in Neural Scaling Laws for General Audio Representations via Embedding Effective Rank
Xuyao Deng, Yanjie Sun, Yong Dou, Kele Xu
https://arxiv.org/abs/2510.10948 …

Unify Variables in Neural Scaling Laws for General Audio Representations via Embedding Effective Rank
Scaling laws have profoundly shaped our understanding of model performance in computer vision and natural language processing, yet their application to general audio representation learning remains underexplored. A key challenge lies in the multifactorial nature of general audio representation-representation quality is jointly influenced by variables such as audio length, embedding dimensionality, model depth, model architecture, data volume, etc., many of which are difficult to isolate or expr…

Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Kai E. Yang, Xudong Sun, Lucas A. Tarr, Jiayi Liu, Peter Sadowski, S. Curt Dodds, Matthias Rempel, Sarah A. Jaeggli, Thomas A. Schad, Ian Cunnyngham, Yannik Glaser, Linnea Wolniewicz
https://…

Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Inferring the three-dimensional (3D) solar atmospheric structures from observations is a critical task for advancing our understanding of the magnetic fields and electric currents that drive solar activity. In this work, we introduce a novel, Physics-Informed Machine Learning method to reconstruct the 3D structure of the lower solar atmosphere based on the output of optical depth sampled spectropolarimetric inversions, wherein both the fully disambiguated vector magnetic fields and the geometri…

New Evidence for Extragalactic Einstein Probe Transients associated with Long Gamma-ray Bursts
Qin-Mei Li, Qi-Bin Sun, Sheng-Bang Qian, Fu-Xing Li
https://arxiv.org/abs/2510.10267

New Evidence for Extragalactic Einstein Probe Transients associated with Long Gamma-ray Bursts
The origin of extragalactic fast X-ray transients (EFXTs) remains a fundamental open question in high-energy astrophysics. The Einstein Probe (EP) mission provides a transformative opportunity to investigate their nature. While mounting observations of EP-discovered EFXTs (EP-EFXTs) suggest a possible connection to long gamma-ray bursts (lGRBs), an in-depth comparative analysis between them remains lacking. Here, we present a comparative analysis of their cosmic formation histories, revealing t…

From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
Antonio Montieri, Alfredo Nascita, Antonio Pescap\`e
https://arxiv.org/abs/2510.11269 https://…

From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
Generative AI (GenAI) chatbots are now pervasive in digital ecosystems, yet their network traffic remains largely underexplored. This study presents an in-depth investigation of traffic generated by three leading chatbots (ChatGPT, Copilot, and Gemini) when accessed via Android mobile apps for both text and image generation. Using a dedicated capture architecture, we collect and label two complementary workloads: a 60-hour generic dataset with unconstrained prompts, and a controlled dataset bui…

Symmetry of the refined $q,t$-Catalan polynomials for $\vec{k}$-Dyck paths
Menghao Qu, Yingrui Zhang
https://arxiv.org/abs/2510.08196 https://arxiv.org/pdf…

Symmetry of the refined $q,t$-Catalan polynomials for $\vec{k}$-Dyck paths
Pappe, Paul, and Schilling introduced two combinatorial statistics, depth and ddinv, associated with classical Dyck paths, and proved that the distributions of (area, depth) and (dinv, ddinv) are $q,t$-symmetric by constructing an involution on plane trees. They also provided a new formula for the original $q,t$-Catalan polynomials $C_{n}(q,t)$. We observe that depth is a slight modification of bounce, which was defined by the filling algorithm and ranking algorithm of Xin and the second author…

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Marius Dragoi, Ioana Pintilie, Florin Gogianu, Florin Brad
https://arxiv.org/abs/2510.08325 https://

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a powerful paradigm to improve Large Language Models on reasoning tasks such as coding, math or logic. To assess the reasoning boundary (the fraction of problems a model can solve) researchers often report Pass@k at large sampling budgets. Recent results reveal a crossover phenomenon: while RLVR models outperform the base model at small k values, the base model usually outperforms them when sampling a very large number of comp…

Fins' OL depth thins after RT Jackson hits IR https://www.espn.com/nfl/story/_/id/46246728/dolphins-place-right-tackle-austin-jackson-ir

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction
Jingkai Sun, Gang Han, Pihai Sun, Wen Zhao, Jiahang Cao, Jiaxu Wang, Yijie Guo, Qiang Zhang
https://arxiv.org/abs/2510.07152

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction
Recent advancements in legged robot perceptive locomotion have shown promising progress. However, terrain-aware humanoid locomotion remains largely constrained to two paradigms: depth image-based end-to-end learning and elevation map-based methods. The former suffers from limited training efficiency and a significant sim-to-real gap in depth perception, while the latter depends heavily on multiple vision sensors and localization systems, resulting in latency and reduced robustness. To overcome …

From deep to shallow water 2D wave turbulence: Emergence of soliton gas
Thibault Leduque, Maxime Kaczmarek, Herv\'e Michallet, Eric Barth\'elemy, Nicolas Mordant
https://arxiv.org/abs/2510.09637

From deep to shallow water 2D wave turbulence: Emergence of soliton gas
Experiments on 2D random water wave propagation in a large wave tank are analyzed when the effect of dispersion changes. A stereoscopic profilometry technique is used to measure the water surface displacement resolved in both time and space over a significant fraction of the wave tank. The wave regimes are characterized by analyzing the space-time spectral statistical properties of the wave field. At a given, finite, water depth, the effect of dispersion can be varied by tuning the peak frequen…

Everything at Manning is half off for Halloween weekend! Get CSS in Depth for only $24! #css #webdev
https://www.manning…

CSS in Depth, Second Edition - Keith J. Grant
To create web designs that delight, entertain, and impress your users, you need to know CSS in depth!

Multipolar Origin and Active Control of High-Q Quasi-BIC Fano Resonances in Dielectric Metasurfaces for Sensing Applications
Soikot Sarkar, Ahmed Zubair
https://arxiv.org/abs/2510.10507

Multipolar Origin and Active Control of High-Q Quasi-BIC Fano Resonances in Dielectric Metasurfaces for Sensing Applications
We designed an ingenious all-dielectric metasurface, employing cuboid structures patterned with bow-tie-shaped nanoholes, exhibiting multiple Fano resonances induced by quasi-bound states in the continuum (quasi-BICs) through structural asymmetry. Among them, several resonant modes demonstrated high quality factors in the range of 10^3-10^4, along with near-unity modulation depth and strong spectral contrast. The optical responses were analyzed utilizing the finite-difference time-domain (FDTD)…

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, Jingfeng Yao, Lianghui Zhu, Yuechuan Pu, Cheng Chi, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang
https://arxiv.org/abs/2510.07316

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
This paper presents Pixel-Perfect Depth, a monocular depth estimation model based on pixel-space diffusion generation that produces high-quality, flying-pixel-free point clouds from estimated depth maps. Current generative depth estimation models fine-tune Stable Diffusion and achieve impressive performance. However, they require a VAE to compress depth maps into latent space, which inevitably introduces \textit{flying pixels} at edges and details. Our model addresses this challenge by directly…

Improved Clifford operations in constant commutative depth
Richard Cleve, Zhiqian Ding, Luke Schaeffer
https://arxiv.org/abs/2510.04921 https://arxiv.org/p…

Improved Clifford operations in constant commutative depth
The commutative depth model allows gates that commute with each other to be performed in parallel. We show how to compute Clifford operations in constant commutative depth more efficiently than was previously known. Bravyi, Maslov, and Nam [Phys. Rev. Lett. 129:230501, 2022] showed that every element of the Clifford group (on $n$ qubits) can be computed in commutative depth 23 and size $O(n^2)$. We show that the Prefix Sum problem can be computed in commutative depth 16 and size $O(n \log n)$, …

On The Road - To Xi’An/Before & After 🌬️
在路上 - 去西安/之前之后🌬️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

Time for Raiders' Depth to Prove They're Built to Win https://www.si.com/nfl/raiders/las-vegas-charles-snowden-maxx-crosby-tennessee-titans

Cowboys secondary gets good news before Week 2 as star returns to practice https://www.si.com/nfl/cowboys/news/dallas-cowboys-secondary-gets-good-news-before-week-2-star-returns-practice

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
Guangyu Zhang, Xixuan Wang, Shiyu Sun, Peiyan Xiao, Kun Sun, Yanhai Xiong
https://arxiv.org/abs/2509.08865

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
Sophisticated evasion tactics in malicious Android applications, combined with their intricate behavioral semantics, enable attackers to conceal malicious logic within legitimate functions, underscoring the critical need for robust and in-depth analysis frameworks. However, traditional analysis techniques often fail to recover deeply hidden behaviors or provide human-readable justifications for their decisions. Inspired by advances in large language models (LLMs), we introduce TraceRAG, a retri…

Reionization optical depth and CMB-BAO tension in punctuated inflation
Zhiqi Huang
https://arxiv.org/abs/2509.09086 https://arxiv.org/pdf/2509.09086…

Reionization optical depth and CMB-BAO tension in punctuated inflation
Within the standard six-parameter Lambda cold dark matter ($Λ$CDM) model, a $2$-$3σ$ tension persists between baryon acoustic oscillation (BAO) measurements from the Dark Energy Spectroscopic Instrument (DESI) and observations of the cosmic microwave background (CMB). Although this tension has often been interpreted as evidence for dynamical dark energy or a sum of neutrino masses below the established minimum, recent studies suggest it may instead originate from an underestimation of the rei…

Depth-Aware Initialization for Stable and Efficient Neural Network Training
Vijay Pandey
https://arxiv.org/abs/2509.05018 https://arxiv.org/pdf/2509.05018

Depth-Aware Initialization for Stable and Efficient Neural Network Training
In past few years, various initialization schemes have been proposed. These schemes are glorot initialization, He initialization, initialization using orthogonal matrix, random walk method for initialization. Some of these methods stress on keeping unit variance of activation and gradient propagation through the network layer. Few of these methods are independent of the depth information while some methods has considered the total network depth for better initialization. In this paper, comprehe…

Ed Oliver injury: Bills DL to miss Jets game after teammate steps on foot, could be out for multiple weeks

https://www.cbssports.com/nfl/news/ed-oliv…

Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks
Steffen Hahn (for the Pierre Auger Collaboration)
https://arxiv.org/abs/2509.09328

Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks
The origin of ultra-high-energy cosmic rays (UHECRs) is one of the intriguing mysteries in astroparticle physics. In order to identify their sources, we need precise knowledge of the mass composition of UHECRs. The direct detection of UHECRs is not feasible at energies above 0.1 PeV, necessitating the use of mass-sensitive observables of extended air showers induced by UHECRs interacting with the atmosphere. One way to achieve high statistics for these mass-sensitive observables is to use groun…

Depth and regularity of powers of edge ideals of edge-weighted trees
Truong Thi Hien, Jiaxin Li, Tran Nam Trung, Guangjun Zhu
https://arxiv.org/abs/2509.08688 https://

Depth and regularity of powers of edge ideals of edge-weighted trees
For an increasing weighted tree $G_ω$, we obtain an asymptotic value and a sharp bound on the index stability of the depth function of its edge ideal $I(G_ω)$. Moreover, if $G_ω$ is a strictly increasing weighted tree, we provide the minimal free resolution of $I(G_ω)$ and an exact formula for the regularity of all powers of $I(G_ω)$.

A depth-zero principal-series block whose Hecke algebra has a non-trivial two-cocycle
Jeffrey D. Adler, Jessica Fintzen, Kazuma Ohara
https://arxiv.org/abs/2510.07391 https://…

A depth-zero principal-series block whose Hecke algebra has a non-trivial two-cocycle
Recently the authors have shown that every Hecke algebra associated to a type constructed by Kim and Yu is isomorphic to a Hecke algebra for a depth-zero type. An example in the literature has been suggested as a counterexample to this result. We show that the example is not a counterexample, and exhibit some of its interesting properties, e.g., we show that a principal series, depth-zero type can have a Hecke algebra with non-trivial two-cocyle, a phenomenon that many did not expect could occu…

A First Look at Starlink In-Flight Performance: An Intercontinental Empirical Study
Muhammad Asad Ullah, Luca Borgianni, Heikki Kokkinen, Antti Anttonen, Stefano Giordano
https://arxiv.org/abs/2508.09839

A First Look at Starlink In-Flight Performance: An Intercontinental Empirical Study
Starlink delivers Internet services to users across terrestrial, maritime, and aviation domains. The prior works have studied its performance at fixed sites and in-motion vehicles, while an in-depth analysis of in-flight performance remains absent. With major airlines now offering Starlink Internet onboard, there is a growing need to evaluate and improve its performance for aviation users. This paper addresses this shortcoming by conducting in-flight measurements over the Baltic Sea and the Pac…

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai
https://arxiv.org/abs/2510.08189

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
Recent trends in test-time scaling for reasoning models (e.g., OpenAI o1, DeepSeek-R1) have led to remarkable improvements through long Chain-of-Thought (CoT). However, existing benchmarks mainly focus on immediate, single-horizon tasks, failing to adequately evaluate models' ability to understand and respond to complex, long-horizon scenarios. To address this incomplete evaluation of Large Reasoning Models (LRMs), we propose R-HORIZON, a method designed to stimulate long-horizon reasoning beha…

iMoWM: Taming Interactive Multi-Modal World Model for Robotic Manipulation
Chuanrui Zhang, Zhengxian Wu, Guanxing Lu, Yansong Tang, Ziwei Wang
https://arxiv.org/abs/2510.09036 h…

iMoWM: Taming Interactive Multi-Modal World Model for Robotic Manipulation
Learned world models hold significant potential for robotic manipulation, as they can serve as simulator for real-world interactions. While extensive progress has been made in 2D video-based world models, these approaches often lack geometric and spatial reasoning, which is essential for capturing the physical structure of the 3D world. To address this limitation, we introduce iMoWM, a novel interactive world model designed to generate color images, depth maps, and robot arm masks in an autoreg…

Moody Urbanity - Oracles III 🈳
情绪化城市 - 谕 III 🈳
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

Colts QB Anthony Richardson injures eye with stretch band, ruled inactive for Week 6 game vs. Cardinals

https://www.cbssports.com/nfl/news/colts-q

VIM-GS: Visual-Inertial Monocular Gaussian Splatting via Object-level Guidance in Large Scenes
Shengkai Zhang, Yuhe Liu, Guanjun Wu, Jianhua He, Xinggang Wang, Mozi Chen, Kezhong Liu
https://arxiv.org/abs/2509.06685

VIM-GS: Visual-Inertial Monocular Gaussian Splatting via Object-level Guidance in Large Scenes
VIM-GS is a Gaussian Splatting (GS) framework using monocular images for novel-view synthesis (NVS) in large scenes. GS typically requires accurate depth to initiate Gaussian ellipsoids using RGB-D/stereo cameras. Their limited depth sensing range makes it difficult for GS to work in large scenes. Monocular images, however, lack depth to guide the learning and lead to inferior NVS results. Although large foundation models (LFMs) for monocular depth estimation are available, they suffer from cro…

X-ray Transmission Through Photoionized Gas with Moderate Thomson Optical Depth
Taya Govreen-Segal, Ehud Nakar, Eliot Quataert
https://arxiv.org/abs/2509.08119 https://

X-ray Transmission Through Photoionized Gas with Moderate Thomson Optical Depth
We model the absorption of X-rays by gas obscuring the source and photoionized by it. We consider a broad range of column densities, including both Thomson-thin and Thomson-thick media. For the Thomson thin regime, we derive a simple criterion, based on the source luminosity and spectrum and the medium radius and column density, that distinguish between the following cases: (i) The absorption can be modeled well by a neutral medium; (ii) The radiation ionizes its way through the medium and no a…

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

Raiders' unofficial depth chart for Week 6 vs. Titans https://www.raiders.com/news/raiders-unofficial-depth-chart-nfl-week-6-vs-tennessee-titans

Depth and Associated Primes in Group Cohomology
James A. Schafer
https://arxiv.org/abs/2509.06895 https://arxiv.org/pdf/2509.06895

Depth and Associated Primes in Group Cohomology
It is shown the Connor Conjecture which states the depth of H*(G) is equal to $ω_G$, the minimum value of the dimensions of associated primes is equivalent to the the statement that there exists an elementary abelian subgroup E of G with depth H*(G) = depth H*($C_GE$).

2025 Dallas Cowboys Depth Chart Heading into NFL Week 1 https://www.foxsports.com/stories/nfl/2025-dallas-cowboys-depth-chart-heading-nfl-week-1

Tank Bigsby traded to Eagles: Reigning Super Bowl champions add RB depth behind Saquon Barkley, per report

https://www.cbssports.com/nfl/news/tank-bi…

DADO: A Depth-Attention framework for Object Discovery
Federico Gonzalez, Estefania Talavera, Petia Radeva
https://arxiv.org/abs/2510.07089 https://arxiv.o…

DADO: A Depth-Attention framework for Object Discovery
Unsupervised object discovery, the task of identifying and localizing objects in images without human-annotated labels, remains a significant challenge and a growing focus in computer vision. In this work, we introduce a novel model, DADO (Depth-Attention self-supervised technique for Discovering unseen Objects), which combines an attention mechanism and a depth model to identify potential objects in images. To address challenges such as noisy attention maps or complex scenes with varying depth…

Raiders' unofficial depth chart for Week 6 vs. Titans https://www.raiders.com/news/raiders-unofficial-depth-chart-nfl-week-6-vs-tennessee-titans

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/4]:
- Depth-Bounded Epistemic Planning
Thomas Bolander, Alessandro Burigana, Marco Montali

Certification of energy-restricted entanglement depth with simple measurements
Carles Roch I Carceller
https://arxiv.org/abs/2509.06726 https://arxiv.org/p…

Certification of energy-restricted entanglement depth with simple measurements
The ability to certify entanglement in multipartite scenarios is crucial for the development of quantum technologies, specially for the realization of large-scale networks. Here, we introduce a method to certify entanglement from sources with limited energy based on a state discrimination game played by multiple distant uncharacerized parties. Our approach is capable of detecting entanglement across all possible bipartitions employing a single, simple and separable measurement setting for all p…

An in-depth look at approximation via deep and narrow neural networks
Joris Dommel, Sven A. Wegner
https://arxiv.org/abs/2510.07202 https://arxiv.org/pdf/2…

An in-depth look at approximation via deep and narrow neural networks
In 2017, Hanin and Sellke showed that the class of arbitrarily deep, real-valued, feed-forward and ReLU-activated networks of width w forms a dense subset of the space of continuous functions on R^n, with respect to the topology of uniform convergence on compact sets, if and only if w>n holds. To show the necessity, a concrete counterexample function f:R^n->R was used. In this note we actually approximate this very f by neural networks in the two cases w=n and w=n+1 around the aforementioned th…

Replaced article(s) found for math.AC. https://arxiv.org/list/math.AC/new
[1/1]:
- On the Hilbert depth of monomial ideals
Silviu Balanescu, Mircea Cimpoeas, Christian Krattenthaler

Jakobi Meyers Talks Bluntly and in Depth on Raiders Contract Situation https://www.si.com/nfl/raiders/jakobi-meyers-las-vegas-pete-carroll-los-angeles-chargers-john-spytek

Depth Preservation and Close-Field Transfer in the Local Langlands Correspondence
Manish Mishra
https://arxiv.org/abs/2509.04997 https://arxiv.org/pdf/2509…

Depth Preservation and Close-Field Transfer in the Local Langlands Correspondence
We introduce a revised notion of depth for Langlands parameters for a connected reductive $G$ defined over a nonarchimedean local field $F$ that restores depth preservation under the local Langlands correspondence (LLC) -- in particular for all tori. We leverage that preservation to derive structural results that, taken together, yield a canonical transfer of broad harmonic-analytic results from characteristic $0$ to characteristic $p$. When $F$ has suitably large positive characteristic, we pr…

Event Spectroscopy: Event-based Multispectral and Depth Sensing using Structured Light
Christian Geckeler, Niklas Neugebauer, Manasi Muglikar, Davide Scaramuzza, Stefano Mintchev
https://arxiv.org/abs/2509.06741

Event Spectroscopy: Event-based Multispectral and Depth Sensing using Structured Light
Uncrewed aerial vehicles (UAVs) are increasingly deployed in forest environments for tasks such as environmental monitoring and search and rescue, which require safe navigation through dense foliage and precise data collection. Traditional sensing approaches, including passive multispectral and RGB imaging, suffer from latency, poor depth resolution, and strong dependence on ambient light - especially under forest canopies. In this work, we present a novel event spectroscopy system that simulta…

Cowboys RB depth chart: Javonte Williams leads with Jaydon Blue inactive vs. Eagles https://www.usatoday.com/story/sports/nfl/2025/09/04/cowboys-running-back-depth-chart-week-1/85981088007/

Raiders Reveal Hard Truths In Latest Unofficial Depth Chart https://www.si.com/nfl/raiders/las-vegas-dante-thornton-jack-bech-geno-smith-brock-bowers

OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Simon Boche, Jaehyung Jung, Sebasti\'an Barbas Laina, Stefan Leutenegger
https://arxiv.org/abs/2510.04612

OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
To empower mobile robots with usable maps as well as highest state estimation accuracy and robustness, we present OKVIS2-X: a state-of-the-art multi-sensor Simultaneous Localization and Mapping (SLAM) system building dense volumetric occupancy maps, while scalable to large environments and operating in realtime. Our unified SLAM framework seamlessly integrates different sensor modalities: visual, inertial, measured or learned depth, LiDAR and Global Navigation Satellite System (GNSS) measuremen…

Vikings HC 'pretty comfortable' with QB depth https://www.espn.com/nfl/story/_/id/46835935/kevin-oconnell-pretty-comfortable-vikings-qb-depth

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
Zhong-Xia Shang, Dong An, Changpeng Shao
https://arxiv.org/abs/2509.09517

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
We investigate Lindbladian fast-forwarding and its applications to estimating Gibbs state properties. Fast-forwarding refers to the ability to simulate a system of time $t$ using significantly fewer than $t$ queries or circuit depth. While various Hamiltonian systems are known to circumvent the no fast-forwarding theorem, analogous results for dissipative dynamics, governed by Lindbladians, remain largely unexplored. We first present a quantum algorithm for simulating purely dissipative Lindbla…

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
Zhangding Liu, Neda Mohammadi, John E. Taylor
https://arxiv.org/abs/2509.04772

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
Timely and accurate floodwater depth estimation is critical for road accessibility and emergency response. While recent computer vision methods have enabled flood detection, they suffer from both accuracy limitations and poor generalization due to dependence on fixed object detectors and task-specific training. To enable accurate depth estimation that can generalize across diverse flood scenarios, this paper presents FloodVision, a zero-shot framework that combines the semantic reasoning abilit…

Raiders Release Key Fantasy Update For Preseason Week 2 https://www.si.com/nfl/raiders/las-vegas-fantasty-football-ashton-jeanty-pete-carroll-chip-kelly

Cowboys' Depth WILL Be Tested This Week https://www.youtube.com/watch?v=bkbJrKp_BzA

Raiders updated Week 6 depth chart after Germaine Pratt release https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/10/07/raiders-updated-week-6-depth-chart-germaine-pratt-release/86573438007/

BRIDGE - Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Dingning Liu, Haoyu Guo, Jingyi Zhou, Tong He
https://arxiv.org/abs/2509.25077

BRIDGE - Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Monocular Depth Estimation (MDE) is a foundational task for computer vision. Traditional methods are limited by data scarcity and quality, hindering their robustness. To overcome this, we propose BRIDGE, an RL-optimized depth-to-image (D2I) generation framework that synthesizes over 20M realistic and geometrically accurate RGB images, each intrinsically paired with its ground truth depth, from diverse source depth maps. Then we train our depth estimation model on this dataset, employing a hybri…

RENet: Fault-Tolerant Motion Control for Quadruped Robots via Redundant Estimator Networks under Visual Collapse
Yueqi Zhang, Quancheng Qian, Taixian Hou, Peng Zhai, Xiaoyi Wei, Kangmai Hu, Jiafu Yi, Lihua Zhang
https://arxiv.org/abs/2509.09283

RENet: Fault-Tolerant Motion Control for Quadruped Robots via Redundant Estimator Networks under Visual Collapse
Vision-based locomotion in outdoor environments presents significant challenges for quadruped robots. Accurate environmental prediction and effective handling of depth sensor noise during real-world deployment remain difficult, severely restricting the outdoor applications of such algorithms. To address these deployment challenges in vision-based motion control, this letter proposes the Redundant Estimator Network (RENet) framework. The framework employs a dual-estimator architecture that ensur…

Rookie RB panic meter: Should Fantasy players worry about depth chart landing for TreVeyon Henderson, others?

https://www.cbssports.com/nfl/news/rookie-…

Why Cowboys let Rico Dowdle leave, doing the Panthers' RB depth chart a major solid https://www.sportingnews.com/us/nfl/carolina-panthers/news/why-cowboys-let-rico-dowdle-leave-panthers-rb-depth-chart…

D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Meixi Song, Xin Lin, Dizhe Zhang, Haodong Li, Xiangtai Li, Bo Du, Lu Qi
https://arxiv.org/abs/2510.08566

D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Recent advances in 3D Gaussian Splatting (3DGS) enable real-time, high-fidelity novel view synthesis (NVS) with explicit 3D representations. However, performance degradation and instability remain significant under sparse-view conditions. In this work, we identify two key failure modes under sparse-view conditions: overfitting in regions with excessive Gaussian density near the camera, and underfitting in distant areas with insufficient Gaussian coverage. To address these challenges, we propose…

Science Lab: Was Kenny Clark the Cowboys' missing link? https://www.dallascowboys.com/news/science-lab-was-kenny-clark-the-cowboys-missing-link

Raiders wide receiver depth chart after 2025 NFL trade deadline https://www.usatoday.com/story/sports/nfl/raiders/2025/11/06/raiders-wr-depth-chart-jakobi-meyers-trade/87103004007/

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases
Matteo Poggi, Fabio Tosi
https://arxiv.org/abs/2509.05297 https://arxiv.or…

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases
We present FlowSeek, a novel framework for optical flow requiring minimal hardware resources for training. FlowSeek marries the latest advances on the design space of optical flow networks with cutting-edge single-image depth foundation models and classical low-dimensional motion parametrization, implementing a compact, yet accurate architecture. FlowSeek is trained on a single consumer-grade GPU, a hardware budget about 8x lower compared to most recent methods, and still achieves superior cros…

Ohio State reclaims No. 1 spot in AP Top 25; Travis Hunter headlines NFL depth chart takeaways, surprises

https://www.cbssports.com/college-footb…

Cowboys bring back Super Bowl WR to practice squad amid depth concerns https://www.si.com/nfl/cowboys/news/dallas-cowboys-bring-back-super-bowl-wr-practice-squad-amid-depth-concerns

Raiders WR depth chart down to 4 players after Amari Cooper retires https://www.usatoday.com/story/sports/nfl/raiders/2025/09/04/raiders-wr-depth-chart-amari-cooper-retires/85978156007/

Injury report: In-depth update on 17 injured Cowboys players https://www.dallascowboys.com/news/injury-report-in-depth-update-on-17-injured-cowboys-players

Amari Cooper shockingly retires from NFL: Who are the WRs on the Raiders’ depth chart in 2025? https://bolavip.com/en/nfl/amari-cooper-shockingly-retires-from-nfl-who-are-the-wrs-on-the-raiders-depth-chart-in-2025

DEPTHOR : Robust Depth Enhancement from a Real-World Lightweight dToF and RGB Guidance
Jijun Xiang, Longliang Liu, Xuan Zhu, Xianqi Wang, Min Lin, Xin Yang
https://arxiv.org/abs/2509.26498

DEPTHOR++: Robust Depth Enhancement from a Real-World Lightweight dToF and RGB Guidance
Depth enhancement, which converts raw dToF signals into dense depth maps using RGB guidance, is crucial for improving depth perception in high-precision tasks such as 3D reconstruction and SLAM. However, existing methods often assume ideal dToF inputs and perfect dToF-RGB alignment, overlooking calibration errors and anomalies, thus limiting real-world applicability. This work systematically analyzes the noise characteristics of real-world lightweight dToF sensors and proposes a practical and n…

Raiders' unofficial depth chart for Week 10 vs. Broncos https://www.raiders.com/news/raiders-unofficial-depth-chart-for-nfl-week-10-vs-denver-broncos

Raiders' unofficial depth chart for Week 10 vs. Broncos https://www.raiders.com/news/raiders-unofficial-depth-chart-for-nfl-week-10-vs-denver-broncos

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
https://arxiv.org/abs/2509.22627 https://

CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by computational power. Stereo image pairs offer an effective solution for depth estimation since it only needs to estimate the disparity of pixels in image pairs to determine the depth in a known rectified system. Due to the difficulty in acquiring reliable ground-truth depth data across diverse scenarios, self-supervis…

Raiders have a Tyler Lockett, Jack Bech WR depth chart decision to make after Jakobi Meyers trade https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-tyler-lockett-jack-be…

Jaguars WR depth chart: How Jakobi Meyers trade impacts Brian Thomas Jr., Jacksonville https://www.usatoday.com/story/sports/nfl/2025/11/04/jakobi-meyers-trade-jaguars-wr-depth-chart/87086089007/

Raiders rookie WR Dont'e Thornton Jr. earned depth chart promotion ahead of Week 1 https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/09/04/raiders-rookie-wr-donte-thornton-jr-earned-…