Tootfinder

The Bayesian SIAC filter
Jan Glaubitz, Tongtong Li, Jennifer Ryan, Roman Stuhlmacher
https://arxiv.org/abs/2509.14771 https://arxiv.org/pdf/2509.14771

The Bayesian SIAC filter
We propose the Bayesian smoothness-increasing accuracy-conserving (SIAC) filter -- a hierarchical Bayesian extension of the existing deterministic SIAC filter. The SIAC filter is a powerful numerical tool for removing high-frequency noise from data or numerical solutions without degrading accuracy. However, current SIAC methodology is limited to (i) nodal data (direct, typically noisy function values) and (ii) deterministic point estimates that do not account for uncertainty propagation from in…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
Ming Tang, Xiaowen Huang, Jitao Sang
https://arxiv.org/abs/2508.11239 https://…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
In recent years, recommender systems have primarily focused on improving accuracy at the expense of diversity, which exacerbates the well-known filter bubble effect. This paper proposes a universal framework called CD-CGCN to address the filter bubble issue in recommender systems from a community detection perspective. By analyzing user-item interaction histories with a community detection algorithm, we reveal that state-of-the-art recommendations often focus on intra-community items, worsening…

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
Jingran Zhang, Zhengzhang Yan, Yiming Chen, Zeqiang He, Jiahao Chen
https://arxiv.org/abs/2508.11396 https://

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
This paper presents a cost-effective inertial pedestrian dead reckoning method for the bipedal robot in the GPS-denied environment. Each time when the inertial measurement unit (IMU) is on the stance foot, a stationary pseudo-measurement can be executed to provide innovation to the IMU measurement based prediction. The matrix Lie group based theoretical development of the adopted invariant extended Kalman filter (InEKF) is set forth for tutorial purpose. Three experiments are conducted to compa…

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
https://arxiv.org/abs/2508.11703

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Algorithmic discovery has traditionally relied on human ingenuity and extensive experimentation. Here we investigate whether a prominent scientific computing algorithm, the Kalman Filter, can be discovered through an automated, data-driven, evolutionary process that relies on Cartesian Genetic Programming (CGP) and Large Language Models (LLM). We evaluate the contributions of both modalities (CGP and LLM) in discovering the Kalman filter under varying conditions. Our results demonstrate that ou…

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Jiayu Yuan, Ming Dai, Enhui Zheng, Chao Su, Nanxing Chen, Qiming Hu, Shibo Zhu, Yibin Cao
https://arxiv.org/abs/2509.13795

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Vision-based Unmanned Aerial Vehicle (UAV) localization systems have been extensively investigated for Global Navigation Satellite System (GNSS)-denied environments. However, existing retrieval-based approaches face limitations in dataset availability and persistent challenges including suboptimal real-time performance, environmental sensitivity, and limited generalization capability, particularly in dynamic or temporally varying environments. To overcome these limitations, we present a large-s…

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
Qiqian Zhang, Zhou Fan, Gang Zhao, Ying Wu, Wei Wang, Kai Xiao, Hongrui Gu, Jie Zheng, Jingkun Zhao, Chun Li, Yuqin Chen, Haibo Yuan, Haining Li, Kefeng Tan, Yihan Song, Ali Luo, Nan Song, Yujuan Liu, Yaqian Wu
https://…

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
Reliable estimation of stellar surface gravity (log $g$) for a large sample is crucial for evaluating stellar evolution models and understanding galactic structure; However, it is not easy to accomplish due to the difficulty in gathering a large spectroscopic data set. Photometric sky survey using a specific filter, on the other hand, can play a substantial role in the assessment of log $g$. The Stellar Abundances and Galactic Evolution Survey (SAGES) utilizes eight filters to provide accurate …

{dtrack} makes documentation of data wrangling part of the analysis and creates pretty flow charts: #rstats

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Andrea Arnold
https://arxiv.org/abs/2508.12155 https://

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Many real-world systems modeled using partial differential equations (PDEs) involve unknown parameters that must be estimated from limited, noisy system observations. While typically assumed to be constants, some of these unobserved parameters may vary with time. This work proposes a two-phase, offline-online numerical procedure for systematically estimating and quantifying uncertainty in time-varying parameters (TVPs) in time-dependent PDEs, specifically focusing on advection-diffusion models …

Inquiry: Is there a way on the GitHub PR list to see "this issue has commits since you last looked at it"? Or some other indication of "I should look at this issue again"?
Similarly, filter out Draft PRs? Trying to get a list of just "things I should look at."
(Asking for a colleague.)
#GitHub

I Built a Bloom Filter Data Structure Simulator
https://coffeebytes.dev/en/databases/i-built-a-bloom-filter-data-structure-simulator/

High-performance multiplexed readout of superconducting qubits with a tunable broadband Purcell filter
Yuzhe Xiong, Zilin Wang, Jiawei Zhang, Xuandong Sun, Zihao Zhang, Peisheng Huang, Yongqi Liang, Ji Jiang, Jiawei Qiu, Yuxuan Zhou, Xiayu Linpeng, Wenhui Huang, Jingjing Niu, Youpeng Zhong, Ji Chu, Song Liu, Dapeng Yu
https://arxiv.org/abs…

High-performance multiplexed readout of superconducting qubits with a tunable broadband Purcell filter
Fast, high-fidelity, and low back-action readout plays a crucial role in the advancement of quantum error correction (QEC). Here, we demonstrate high-performance multiplexed readout of superconducting qubits using a tunable broadband Purcell filter, effectively resolving the fundamental trade-off between measurement speed and photon-noise-induced dephasing. By dynamically tuning the filter parameters, we suppress photon-noise-induced dephasing by a factor of 7 in idle status, while enabling rap…

The Filter Echo: A General Tool for Filter Visualisation
Daniel Gaa, Joachim Weickert, Iva Farag, \"Ozg\"un \c{C}i\c{c}ek
https://arxiv.org/abs/2509.11932 https://

The Filter Echo: A General Tool for Filter Visualisation
To select suitable filters for a task or to improve existing filters, a deep understanding of their inner workings is vital. Diffusion echoes, which are space-adaptive impulse responses, are useful to visualise the effect of nonlinear diffusion filters. However, they have received little attention in the literature. There may be two reasons for this: Firstly, the concept was introduced specifically for diffusion filters, which might appear too limited. Secondly, diffusion echoes have large stor…

* Search keywords in the Address Field: use tags like @.tabs, @.bookmarks, @.history to quickly filter.
* Upgraded ad-blocker: new popup-rules to stop annoying windows/tabs, while letting legit behaviors through.
* Swipe gestures on Windows: trackpad/touch swipes for back/forward.
* Better performance for “hibernated” tabs: waking them up faster.

This is the manifold typt thing that I am currently roughing together for the 2nd pump from the main pond.
The through pipe will go to the filter and the two offshoots will go to the bottom returns and side sorayers which are both meant to keep the water in the pond moving toward the pump bay and discourage settling on the bottom
#poolpond #diy #backyardproject

Tried a new mechanic as I was looking at a car they were selling in their lot. They botched the oil change by not tightening the oil filter properly. At least I noticed it before the leak was too bad, but damn.

🇺🇦 #NowPlaying on #BBC6Music's #Grounding
Filter:
🎵 Welcome To The Fold
#Filter
https://goodknightproductions1.bandcamp.com/track/welcome-to-the-fold
https://open.spotify.com/track/0oPcNTwHKpYnDZfkcdOsiA

Filter Quotient Model Structures
Nima Rasekh
https://arxiv.org/abs/2508.07735 https://arxiv.org/pdf/2508.07735

Filter Quotient Model Structures
The filter quotient construction is a particular instance of a filtered colimit of categories. It has primarily been considered in the context of categorical logic, where it has been used effectively to construct non-trivial models, for example new models of set theory. In this work we prove that given a model category and a suitable notion of filter of subterminal objects, the filter quotient construction will preserve the model structure. We also show that this new model structure inherits …

It feels like the world doesn't want me to have a way to cleanly filter YouTube lmao the owner of the deTube userscript straight up deleted it the other day, no one had submitted any issues and it seemed like things were going mostly smooth. Come the fuck on man.

Programmable Optical Filters Based on Feed-Forward Photonic Meshes
Carson G. Valdez, Anne R. Kroo, Marek Vlk, Charles Roques-Carmes, Shanhui Fan, David A. B. Miller, Olav Solgaard
https://arxiv.org/abs/2509.12059

Programmable Optical Filters Based on Feed-Forward Photonic Meshes
We demonstrate an integrated photonic circuit based on feed forward photonic meshes that can be programmed and reconfigured to perform arbitrary spectral filter functions. We investigate a subset of the available filter functions, demonstrating that a N = 4 input triangular mesh with M = 3 layers may be operated via self-configuration algorithms to filter M arbitrary wavelengths from a given input spectrum. The tunable nature of the architecture enables preconfigured filter functions to be swep…

Classification Filtering
Ilker Bayram
https://arxiv.org/abs/2509.13975 https://arxiv.org/pdf/2509.13975

Classification Filtering
We consider a streaming signal in which each sample is linked to a latent class. We assume that multiple classifiers are available, each providing class probabilities with varying degrees of accuracy. These classifiers are employed following a straightforward and fixed policy. In this setting, we consider the problem of fusing the output of the classifiers while incorporating the temporal aspect to improve classification accuracy. We propose a state-space model and develop a filter tailored for…

Revisiting Functional Derivatives in Multi-object Tracking
Jan Krej\v{c}\'i, Ond\v{r}ej Straka, Petr Girg, Ji\v{r}\'i Benedikt
https://arxiv.org/abs/2508.12982 https://

Revisiting Functional Derivatives in Multi-object Tracking
Probability generating functionals (PGFLs) are efficient and powerful tools for tracking independent objects in clutter. It was shown that PGFLs could be used for the elegant derivation of practical multi-object tracking algorithms, e.g., the probability hypothesis density (PHD) filter. However, derivations using PGFLs use the so-called functional derivatives whose definitions usually appear too complicated or heuristic, involving Dirac delta ``functions''. This paper begins by comparing differ…

Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
Binan Gu, Pejman Sanaei, Lou Kondic, Linda J. Cummings
https://arxiv.org/abs/2508.11820 https://

Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
We model filtration of a feed solution, containing both small and large foulant particles, by a membrane filter. The membrane interior is modeled as a network of pores, allowing for the simultaneous adsorption of small particles and sieving of large particles, two fouling mechanisms typically observed during the early stages of commercial filtration applications. In our model, first-principles continuum partial differential equations model transport of the small particles and adsorptive fouling…

"Green Roofs Filter Microplastic From Urban Rainfall, Study Finds"
#Plastic #Plastics #Microplastics

Green Roofs Filter Microplastic From Urban Rainfall, Study Finds | Happy Eco News
Green roofs filter microplastic from urban rainwater by capturing up to 97.5% of plastic particles during rainfall, according to a new study. Most particles stay in the soil, helping reduce pollution in city waterways. While challenges remain, this adds another reason to expand green roof infrastructure in urban areas.

The Guardian launches its product recommendation site, The Filter, in the US, one year after its UK launch, with a focus on ethical consumption (Sara Guaglione/Digiday)
https://digiday.com/media/the-guardian-brings-the-filter-to-the-u-s-in-affi…

The Guardian brings The Filter to the U.S. in affiliate commerce push
The Guardian is bringing its product recommendation site The Filter stateside, as it looks to push harder into commerce revenue.

Investigating the Performance of EKF, UKF, and PF for Quadrotor Position Estimation in Hurricane Wind Disturbances
Ahmed A. Elgohary, Benjamin Gwinnell, Josh Augustine
https://arxiv.org/abs/2509.13243 …

Investigating the Performance of EKF, UKF, and PF for Quadrotor Position Estimation in Hurricane Wind Disturbances
Natural disasters, such as hurricanes and typhoons, pose significant challenges to public safety and infrastructure. While government agencies rely on multi million dollar UAV systems for storm data collection and disaster response, smaller drones lack the ability to autonomously adapt to rapidly changing environmental conditions, such as turbulent winds. This project investigates the implementation of advanced state estimation filters, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF…

Groupoids of finitely aligned higher-rank graphs via filters and graph morphisms
Lisa Orloff Clark, Malcolm Jones
https://arxiv.org/abs/2509.13929 https://…

Groupoids of finitely aligned higher-rank graphs via filters and graph morphisms
Path and boundary-path groupoids of finitely aligned higher-rank graphs are often constructed using either filters or graph morphisms. We generalise the graph morphism approach to finitely aligned P-graphs where (Q, P) is a weakly quasi-lattice ordered group, and we show the filter approach and the graph morphism approach yield isomorphic path and boundary-path groupoids. To do this, we define conjugacy of partial semigroup actions such that conjugate actions have isomorphic semidirect product …

Tell Me About It
Welcome to Tell Me About It: the no-filter podcast for real people building real businesses...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/tell-me-about-it/

🇺🇦 #NowPlaying on KEXP's #MorningShow
Filter:
🎵 Hey Man Nice Shot
#Filter
https://aggro1.bandcamp.com/track/filter-hey-man-nice-shot-x-limbo-slice-aphotic
https://open.spotify.com/track/1YFNBJbmk9xLlYHXjhK7qz

Accelerating Discovery: Rapid Literature Screening with LLMs
Santiago Matalonga, Domenico Amalfitano, Jean Carlo Rossa Hauck, Mart\'in Solari, Guilherme H. Travassos
https://arxiv.org/abs/2509.13103

Accelerating Discovery: Rapid Literature Screening with LLMs
Background: Conducting Multi Vocal Literature Reviews (MVLRs) is often time and effort-intensive. Researchers must review and filter a large number of unstructured sources, which frequently contain sparse information and are unlikely to be included in the final study. Our experience conducting an MVLR on Context-Aware Software Systems (CASS) Testing in the avionics domain exemplified this challenge, with over 8,000 highly heterogeneous documents requiring review. Therefore, we developed a Large…

Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach
Mahdi Abdollahi, Atefeh Javadi, Barry F. Madore, Wendy L. Freedman, Hamidreza Mahani
https://arxiv.org/abs/2509.10901

Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach
The Period-Luminosity (PL) relation is usually derived using time-averaged magnitudes, which require multiple-epoch observations to determine periods and adequately sample the light curves. Although single-epoch observations are more practical and require significantly less observational effort, they inherently introduce greater photometric scatter, leading to an increased dispersion in the derived Period-Luminosity relations. In this paper, we explore, in detail, a method that transforms singl…

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Zhiling Wang, Takeaki Miyamura, Yoshiki Sunada, Keika Sunada, Jesper Ilves, Kohei Matsuura, Yasunobu Nakamura
https://arxiv.org/abs/2508.10990

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Cluster states are a class of multi-qubit entangled states with broad applications such as quantum metrology and one-way quantum computing. Here, we present a protocol to generate frequency-bin-encoded dual-rail cluster states using a superconducting circuit consisting of a fixed-frequency transmon qubit, a resonator and a Purcell filter. We implement time-frequency multiplexing by sequentially emitting co-propagating microwave photons of distinct frequencies. The frequency-bin dual-rail encodi…

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Ryan M. Bena, Gilbert Bahati, Blake Werner, Ryan K. Cosner, Lizhi Yang, Aaron D. Ames
https://arxiv.org/abs/2508.11129

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Autonomous navigation through unstructured and dynamically-changing environments is a complex task that continues to present many challenges for modern roboticists. In particular, legged robots typically possess manipulable asymmetric geometries which must be considered during safety-critical trajectory planning. This work proposes a predictive safety filter: a nonlinear model predictive control (MPC) algorithm for online trajectory generation with geometry-aware safety constraints based on con…

After spotting some dumbass PR on `github.com/torvalds/linux` I checked the closed PRs filter... A decision that I regret.
Why must people be so degenerate...

I had an air filter attached to the rear of my #Kombi, and then I realized that I couldn't shift. One of the cords that I had used to secure the hepa filter was on the derailleur. It was an easy thing to fix, but it reminded me just how much I hate derailleurs (and any kind of external gears in general).

DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
Yuan Wu, Sicheng He
https://arxiv.org/abs/2509.07474 https://arxiv.org/pdf/25…

DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
The Kalman filter is a fundamental tool for state estimation in dynamical systems. While originally developed for linear Gaussian settings, it has been extended to nonlinear problems through approaches such as the extended and unscented Kalman filters. Despite its broad use, a persistent limitation is that the underlying approximate model is fixed, which can lead to significant deviations from the true system dynamics. To address this limitation, we introduce the differentiable Kalman filter (D…

@… Why is she using that stupid filter? Her eyes look creepy and ridiculous. Even though I agree with her, I think she harms the cause she attempts to promote by trying to look like a cartoon figure.

Kommentar: Charlie Kirk fortjener et redelig forsvar av ytringsfriheten – ikke helgengjŸring - Filter Nyheter https://filternyheter.no/kommentar-charlie-kirk-fortjener-et-aerlig-forsvar-for-ytringsfriheten-hans-ikk…

Kommentar: Charlie Kirk fortjener et redelig forsvar av ytringsfriheten – ikke helgengjøring - Filter Nyheter

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Yue Zhang, Rui Liu, Wensi Wang, Junyan Liu
https://arxiv.org/abs/2508.13015 https://

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Solar flare ribbons are believed to map the footpoints of newly reconnected magnetic flux tubes, therefore shedding light on the reconnecting current sheet, which is rarely observed by direct imaging or spectroscopy. Here we study the detailed evolution of flare ribbons down to the arcsecond scale for 10 flares characterized by the classic double ribbons. Identifying the flaring pixels by combining the intensity variances of the UV filter ratio and intensity threshold, we found that the waiting…

Belated #MountainMonday ... Ever been in a place which made you feel you're maybe walking in dream (and it's not a nightmare)? This picture absolutely summarizes why I love the mountains the most in October...
(Had to de-saturate the colors because of polarization filter used, otherwise only slightly cropped and minutely raised shadows)

Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
J. E. Rodr\'iguez-Mart\'in, L. A. D\'iaz-Garc\'ia, R. M. Gonz\'alez Delgado, G. Mart\'inez-Solaeche, R. Garc\'ia-Benito, A. de Amorim, J. Thain\'a-Batista, R. Cid Fernandes, I. M\'arquez, A. Fern\'andez-Soto, I. Breda, R. Abramo, J. Alcaniz, N. Ben\'itez, S. Bonoli, S. Carneiro, A. J. Cenarro, D. Crist\'obal-Hornillos, R. A. Dupke, A. Ederoclite, A. Hern\'…

Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
We present Py2DJPAS, a Python-based tool to automate the analysis of spatially resolved galaxies in the \textbf{miniJPAS} survey, a 1~deg$^2$ precursor of the J-PAS survey, using the same filter system, telescope, and Pathfinder camera. Py2DJPAS streamlines the entire workflow: downloading scientific images and catalogs, performing PSF homogenization, masking, aperture definition, SED fitting, and estimating optical emission line equivalent widths via an artificial neural network. We validate…

Variable Selection Using Relative Importance Rankings
Tien-En Chang, Argon Chen
https://arxiv.org/abs/2509.10853 https://arxiv.org/pdf/2509.10853

Variable Selection Using Relative Importance Rankings
Although conceptually related, variable selection and relative importance (RI) analysis have been treated quite differently in the literature. While RI is typically used for post-hoc model explanation, this paper explores its potential for variable ranking and filter-based selection before model creation. Specifically, we anticipate strong performance from the RI measures because they incorporate both direct and combined effects of predictors, addressing a key limitation of marginal correlation…

Does Re-referencing Matter? Large Laplacian Filter Optimizes Single-Trial P300 BCI Performance
Eva Guttmann-Flury, Jian Zhao, Mohamad Sawan
https://arxiv.org/abs/2510.10733 http…

Does Re-referencing Matter? Large Laplacian Filter Optimizes Single-Trial P300 BCI Performance
Electroencephalography (EEG) provides a non-invasive window into brain activity, enabling Brain-Computer Interfaces (BCIs) for communication and control. However, their performance is limited by signal fidelity issues, among which the choice of re-referencing strategy is a pervasive but often overlooked preprocessing bias. Addressing controversies about its necessity and optimal choice, we adopted a quantified approach to evaluate four strategies - no re-referencing, Common Average Reference (C…

The log viewer in ngscopeclient now includes a graphical interface to logtools filters, allowing you to filter by severity and turn high-verbosity tracing on/off for specific classes and functions.

US-Wahlkämpfer fürchten Apples "aggressiven" Messaging-Filter in iOS 26
Nachrichten unbekannter Sender blendet iOS 26 wahlweise aus. Ein Wahlkampfkomitee der Republikaner warnt, dadurch könnten Spenden massiv einbrechen.

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Chenlong He, Zijing Dong, Min Li, Zhijian Hao, Leilei Huang, Xiaoyang Zeng, Yibo Fan
https://arxiv.org/abs/2510.10648

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Just Noticeable Distortion (JND)-guided pre-filter is a promising technique for improving the perceptual compression efficiency of image coding. However, existing methods are often computationally expensive, and the field lacks standardized benchmarks for fair comparison. To address these challenges, this paper introduces a twofold contribution. First, we develop and open-source FJNDF-Pytorch, a unified benchmark for frequency-domain JND-Guided pre-filters. Second, leveraging this platform, we …

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- An AI-Based Behavioral Health Safety Filter and Dataset for Identifying Mental Health Crises in T...
Nelson, Wong, Silvestrini, Shin, Robinson, Lee, Yang, Torous, Trister

Attention as an Adaptive Filter
Peter Racioppo
https://arxiv.org/abs/2509.04154 https://arxiv.org/pdf/2509.04154 …

Attention as an Adaptive Filter
We introduce Adaptive Filter Attention (AFA), a novel attention mechanism that incorporates a learnable dynamics model directly into the computation of attention weights. Rather than comparing queries and keys directly, we model the input sequence as discrete observations of a linear stochastic differential equation (SDE). By imposing a linear dynamics model with simultaneously diagonalizable state matrices and noise covariances, we can make use of a closed-form solution to the differential Lya…

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

Today, a customer lost some changes due to git stach drop. This meant that they were no longer accessible with git reflog. As a last resort, git fsck came to our rescue: https://www.python4data.science/en/latest/productive/git/review.html#fsck

Review
log: Filter and sort:$ git log [-n COUNT], lists the commit history of the current branch.--n, limits the number of commits to the specified number.,.,,$ git log [--after=" YYYY-MM-DD"] [...

A filter-dependent granular temperature model from large-scale CFD-DEM data
Lee Rosenberg, William Fullmer, Sarah Beetham
https://arxiv.org/abs/2509.10728 https://

A filter-dependent granular temperature model from large-scale CFD-DEM data
The computational study of strongly-coupled, gas-solid flows at scales relevant to most environmental and engineering applications requires the use of `coarse-grained' methodologies such as the two-fluid model, particle-in-cell approach or the multiphase Reynolds Averaged Navier-Stokes equations. While these strategies enable computations at desirable length- and time-scales, they rely heavily on models to capture important flow physics that occur at scales smaller than the mesh. To date, the m…

Had to move my laser cutter to my garage where ventilation isn’t that great vs previous location.
Like air leaves the garage but there are houses around wouldn’t want to vent smoke out.
Wanted to test a Xiaomi hepa filter pre filter 600 cfm fan setup but was kind of not hopeful it would work.
Wow, zero smoke at all. Can just about smell some smoke smell (laser enclosure isn’t air tight).
Waiting for a proper VOC counter to come but so far impressed and I can u…

Is er een filter te bouwen tegen gedeelde artikelen waarvan alleen de titel wordt gedeeld, gevolgd door de preview met dezelfde titel (en bijna altijd achter een betaalmuur).
Zo van "het is warm" vervolgens een link naar vk.nl/ het-is-warm en een preview "het is warm" (afbeelding)
Why? Of ik heb een abo en kan t zelf lezen, of betaalmuur.
Tell me why I should read it

is there a way to apply a filter to a single user rather than everybody

Transformer Networks for Continuous Gravitational-wave Searches
Prasanna. M. Joshi, Reinhard Prix
https://arxiv.org/abs/2509.10912 https://arxiv.org/pdf/25…

Transformer Networks for Continuous Gravitational-wave Searches
Wide-parameter-space searches for continuous gravitational waves (CWs) using semi-coherent matched-filter methods require enormous computing power, which limits their achievable sensitivity. Here we explore an alternative search method based on training neural networks as classifiers on detector strain data with minimal pre-processing. Contrary to previous studies using convolutional neural networks (CNNs), we investigate the suitability of the transformer architecture, specifically the Vision …

I think the view from 10,000 feet for me is that all tech tries to interpose itself between two human beings and then extract value. Whether it's Uber, Airbnb, social media or Vision Pro/smart glasses and now earbuds.
Once a tech company is the filter through which we sense the world it's a next level amount of power that they will have over us.
The next thing will be that Apple thinks they deserve a 30% cut of that sale that you made with the local merchant.

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Brendan McCluskey, Jesse Griff-McMahon, Daniel Haberberger, Vicente Valenzuela-Villaseca, Huws Landsberger, William Fox
https://arxiv.org/abs/2508.05837

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Refraction of an optical probe beam by a plasma can be measured with angular filter refractometry (AFR), which produces an image containing intensity contours that correspond to curves of constant refraction angle. Further analysis is required to reconstruct the underlying line-integrated electron density. Most prior efforts to calculate density from AFR data have been limited to 1D analysis or forward-fitting techniques. In this paper, we detail the use of a fast marching Eikonal solver to dir…

The rain has topped up the pool pond! 🙏 🌧️
It is overflowing at the overflow and only at the overflow, that I can tell :). I powered the pump up from its 40% (34W) to 75% (120W) to get things moving in the filter while we have the rain.
I might as well use it to allow it to clean the gunk out of the system naturally!
Still feels like I got rushed into filling it, but it is really satisfying nonetheless to see it functioning as designed in my head! lol
#poolpond #diy #backyardproject

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
Jinhwa Kim, Ian G. Harris
https://arxiv.org/abs/2508.10031 https://

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
While Large Language Models (LLMs) have shown significant advancements in performance, various jailbreak attacks have posed growing safety and ethical risks. Malicious users often exploit adversarial context to deceive LLMs, prompting them to generate responses to harmful queries. In this study, we propose a new defense mechanism called Context Filtering model, an input pre-processing method designed to filter out untrustworthy and unreliable context while identifying the primary prompts contai…

Crosslisted article(s) found for stat.CO. https://arxiv.org/list/stat.CO/new
[1/1]:
- A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equati...
Andrea Arnold

Towards EXPTIME One Way Functions: Bloom Filters, Succinct Graphs, Cliques, & Self Masking
Shlomi Dolev
https://arxiv.org/abs/2508.01649 https://arxiv.…

Towards EXPTIME One Way Functions: Bloom Filters, Succinct Graphs, Cliques, & Self Masking
Consider graphs of n nodes, and use a Bloom filter of length 2 log3 n bits. An edge between nodes i and j, with i < j, turns on a certain bit of the Bloom filter according to a hash function on i and j. Pick a set of log n nodes and turn on all the bits of the Bloom filter required for these log n nodes to form a clique. As a result, the Bloom filter implies the existence of certain other edges, those edges (x, y), with x < y, such that all the bits selected by applying the hash functions to x …

Warum erfasst die #Polizei Statistiken zur #Bekleidung von Unfall-Betroffenen auf #Fahrrädern, aber keinerlei Datei dazu, wenn Menschen auf Grund von

Johannes Filter (@filter@chaos.social)
Angehängt: 3 Bilder Ich freue mich sehr, dass https://polizeischuesse.cilip.de/ für den Grimme Online Award (#goa25) nominiert ist. Fast alle Presseberichte der letzten Jahre über tödliche Polizeischüsse basieren auf den Daten der Zeitschrift @cilip@social.tchncs.de . Öffentliche Datenbanken gibt es nicht, lediglich eine abstrakte Statistik der Deutschen Hochschule der Polizei, die zunächst nur auf Presseanfrage zugänglich war. Auch diese Daten haben wir auf unserer Webseite gesammelt.…

Everyone loves a good #gource #visualisation but with previous ones I've run on #qemu it does get quite busy. Over the weekend I discovered you can filter the output so here is my personal contrib…

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li
https://arxiv.org/abs/2509.12765

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
Retrieval-Augmented Generation (RAG) has emerged as a promising approach to address key limitations of Large Language Models (LLMs), such as hallucination, outdated knowledge, and lacking reference. However, current RAG frameworks often struggle with identifying whether retrieved documents meaningfully contribute to answer generation. This shortcoming makes it difficult to filter out irrelevant or even misleading content, which notably impacts the final performance. In this paper, we propose Do…

Ich schätze #FilterNyheter sehr, ein norwegischer Nachrichtenaggregator, und die haben einen guten Kommentar zu #Kirk. Natürlich norwegisch, also Übersetzungstool für viele von euch wohl nötig:

Kommentar: Charlie Kirk fortjener et redelig forsvar av ytringsfriheten – ikke helgengjøring - Filter Nyheter

According to PubMed, scientific interest in visual prostheses is waning https://pubmed.ncbi.nlm.nih.gov/?term="visual prosthesis"&filter=years.1995-2025&sort=date&timeline=expanded

Online Homogeneity Can Emerge Without Filtering Algorithms or Homophily Preferences
Petter T\"ornberg
https://arxiv.org/abs/2508.10466 https://arxiv.o…

Online Homogeneity Can Emerge Without Filtering Algorithms or Homophily Preferences
Ideologically homogeneous online environments - often described as "echo chambers" or "filter bubbles" - are widely seen as drivers of polarization, radicalization, and misinformation. A central debate asks whether such homophily stems primarily from algorithmic curation or users' preference for like-minded peers. This study challenges that view by showing that homogeneity can emerge in the absence of both filtering algorithms and user preferences. Using an agent-based model inspired by Schelli…

Replaced article(s) found for math.LO. https://arxiv.org/list/math.LO/new
[1/1]:
- Priestley-style duality for filter-distributive congruential logics
Mar\'ia Esteban, Ramon Jansana

Just bundled up my interactive lab notebook system for an open-source release; it's just a panflute filter but has some cool functionality if you want to make little interactive tutorials that live as standalone static pages without any server app necessary beyond a basic host. You can check out an example here:
#AcademicChatter

Microbes form living electrical networks to filter methane from ocean floor, scientists discover
https://phys.org/news/2025-08-microbes-electrical-networks-filter-methane.html#google_vignette

Affine Filter Bank Modulation (AFBM): A Novel 6G ISAC Waveform with Low PAPR and OOBE
Kuranage Roche Rayan Ranasinghe, Henrique L. Senger, Gustavo P. Gon\c{c}alves, Hyeon Seok Rou, Bruno S. Chang, Giuseppe Thadeu Freitas de Abreu, Didier Le Ruyet
https://arxiv.org/abs/2509.05683

Affine Filter Bank Modulation (AFBM): A Novel 6G ISAC Waveform with Low PAPR and OOBE
We propose the affine filter bank modulation (AFBM) waveform for enhanced integrated sensing and communications (ISAC) in sixth generation (6G), designed by drawing on concepts from classical filter bank multicarrier modulation (FBMC) theory and recent advances in chirp-domain waveforms, particularly affine frequency division multiplexing (AFDM). Specifically, AFBM exhibits several desirable properties, with emphasis on its remarkably low peak-to-average power ratio (PAPR) and reduced out-of-ba…

Assessing the Limits of Graph Neural Networks for Vapor-Liquid Equilibrium Prediction: A Cryogenic Mixture Case Study
Aryan Gupta
https://arxiv.org/abs/2509.10565 https://

Assessing the Limits of Graph Neural Networks for Vapor-Liquid Equilibrium Prediction: A Cryogenic Mixture Case Study
Accurate and fast thermophysical models are needed to embed vapor-liquid equilibrium (VLE) calculations in design, optimization, and control loops for cryogenic mixtures. This study asks whether a structure-aware graph neural network (GNN; DimeNet++) trained on GERG-2008/CoolProp data can act as a practical surrogate for an equation of state (EoS). We generate a ternary dataset over 90-200 K and pressures to 100 bar, curate it with a 15% density filter (reducing 5,200 states to 1,516), and pair…

#SteadySupporter
Im #Nachrichtengeschäft nimmt die Menge an medialen Inhalten exponentiell zu, und damit auch die Häufigkeit potenziell verstörender und traumatisierender #Bilder

Wie KI-Filter bei verstörenden Bildern helfen können
KI-Bildfilter könnten emotionalen Stress durch verstörende Bilder verringern und Journalisten und Menschenrechtsaktivisten helfen.

#PSA Since I've just been asked again if I could use more topic-specific accounts and not mix my photography with other topics — Unfortunately, nope! I'm on a single user managed instance and cannot create new accounts on this server nor do I want to create an account for every single topic I'm interested in or posting about. However, you can filter my posts by hashtags, which I'm tr…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/4]:
- Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Chenheng Xu, Dan Wu, Yixin Zhu, Ying Nian Wu

Environmental Regulation of Dust and Star Formation Unveiled by Subaru Dual Narrow-band Imaging: Degree-scale Balmer Decrement Mapping across a z = 0.9 Supercluster
Zhaoran Liu, Tadayuki Kodama, Brian C. Lemaux, Mariko Kubo, Jose Manuel P\'erez-Mart\'inez, Yusei Koyama, Ichi Tanaka, Kazuki Daikuhara, Roy R. Gal, Denise Hung, Masahiro Konishi, Kosuke Kushibiki, Ronaldo Laishram, Lori M. Lubin, Kentaro Motohara, Hidenori Takahashi

Environmental Regulation of Dust and Star Formation Unveiled by Subaru Dual Narrow-band Imaging: Degree-scale Balmer Decrement Mapping across a z = 0.9 Supercluster
We present results from a dual narrow-band imaging survey targeting the CL1604 supercluster at z = 0.9 using the Subaru Telescope. By combining the NB921 filter on HSC and the NB1244 filter on SWIMS, we can detect redshifted H$α$ and H$β$ emission lines from the supercluster. This unique technique allows us to measure both star formation rates and dust extinction for a sample of 94 emission-line galaxies across the supercluster. We find that dust extinction, estimated from the Balmer decremen…

Fixed a recently reported, asan-caught UaF in ngscopeclient earlier today when loading session files containing a protocol analyzer.
Apparently the analyzer never called AddRef() / Release() on the filter and could thus outlive it.
Yet another reason why the planned refactoring of filter ownership to use std::shared_ptr's rather than manual hand refcounting can't come soon enough. Just need to ship v0.1 first...

Compositional shield synthesis for safe reinforcement learning in partial observability
Steven Carr, Georgios Bakirtzis, Ufuk Topcu
https://arxiv.org/abs/2509.12085 https://

Compositional shield synthesis for safe reinforcement learning in partial observability
Agents controlled by the output of reinforcement learning (RL) algorithms often transition to unsafe states, particularly in uncertain and partially observable environments. Partially observable Markov decision processes (POMDPs) provide a natural setting for studying such scenarios with limited sensing. Shields filter undesirable actions to ensure safe RL by preserving safety requirements in the agents' policy. However, synthesizing holistic shields is computationally expensive in complex depl…

Hypergraph-Guided Regex Filter Synthesis for Event-Based Anomaly Detection
Margarida Ferreira, Victor Nicolet, Luan Pham, Joey Dodds, Daniel Kroening, Ines Lynce, Ruben Martins
https://arxiv.org/abs/2509.06911

Hypergraph-Guided Regex Filter Synthesis for Event-Based Anomaly Detection
We propose HyGLAD, a novel algorithm that automatically builds a set of interpretable patterns that model event data. These patterns can then be used to detect event-based anomalies in a stationary system, where any deviation from past behavior may indicate malicious activity. The algorithm infers equivalence classes of entities with similar behavior observed from the events, and then builds regular expressions that capture the values of those entities. As opposed to deep-learning approaches, t…

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

Co-designed reflective and leaky-waveguide low-pass filter for superconducting circuits
Linus Andersson, Benjamin Olsson, Simone Gasparinetti, Robert Rehammar
https://arxiv.org/abs/2508.02475

Co-designed reflective and leaky-waveguide low-pass filter for superconducting circuits
A stepped-impedance low-pass filter with integrated hollow waveguide absorbers is presented. The filter combines low insertion loss in the passband with strong attenuation at high frequencies, making it well suited for superconducting quantum computing applications, where qubits are sensitive to both near-band and far out-of-band radiation. The structure is implemented in a rectangular coaxial geometry, with inductive sections coupled to circular hollow waveguides oriented orthogonally to the t…

Nonlinear filtering based on density approximation and deep BSDE prediction
Kasper B{\aa}gmark, Adam Andersson, Stig Larsson
https://arxiv.org/abs/2508.10630 https://

Nonlinear filtering based on density approximation and deep BSDE prediction
A novel approximate Bayesian filter based on backward stochastic differential equations is introduced. It uses a nonlinear Feynman--Kac representation of the filtering problem and the approximation of an unnormalized filtering density using the well-known deep BSDE method and neural networks. The method is trained offline, which means that it can be applied online with new observations. A mixed a priori-a posteriori error bound is proved under an elliptic condition. The theoretical convergence …

Subband Architecture Aided Selective Fixed-Filter Active Noise Control
Hong-Cheng Liang, Man-Wai Mak, Kong Aik Lee
https://arxiv.org/abs/2508.00603 https://

Subband Architecture Aided Selective Fixed-Filter Active Noise Control
The feedforward selective fixed-filter method selects the most suitable pre-trained control filter based on the spectral features of the detected reference signal, effectively avoiding slow convergence in conventional adaptive algorithms. However, it can only handle limited types of noises, and the performance degrades when the input noise exhibits non-uniform power spectral density. To address these limitations, this paper devises a novel selective fixed-filter scheme based on a delayless subb…

#poolpond #backyardProject #diy
I spent the morning cleaning out the big pond. Lots of dirt and gunk and water had accumulated in the bottom over the past months. A combination of the little sump pump and a shop vac cleaned that all out.
But more concerning was the fact that when I walked down into the pond, it was mushy. There was obviously water underneath the liner.
I just pulled back the liner to reveal the water that had gotten under. It is likely that this water is from the overflow when I was testing the filter. It could be from a little bit of rainfall, but I doubt it.
There was a lot of water washing around the yard yesterday as I was figuring out the filter and the stream and overflowing areas so I am sure it got in that way.
Not a big problem. Just some more water to move with the little pump.
I am more concerned about the fact that a horsefly landed on me twice in the past hour. Devils they are.

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
Arslan Majal, Aamir Hussain Chughtai, Muhammad Tahir
https://arxiv.org/abs/2509.07415 http…

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
We present a learning-based outlier-robust filter for a general setup where the measurement noise can be correlated. Since it is an enhanced version of EM-based outlier robust filter (EMORF), we call it as EMORF-II. As it is equipped with an additional powerful feature to learn the outlier characteristics during inference along with outlier-detection, EMORF-II has improved outlier-mitigation capability. Numerical experiments confirm performance gains as compared to the state-of-the-art methods …

Superresolving Non-linear PDE Dynamics with Reduced-Order Autodifferentiable Ensemble Kalman Filtering For Turbulence Modeling and Flow Regulation
Mrigank Dhingra, Omer San
https://arxiv.org/abs/2509.12149

Superresolving Non-linear PDE Dynamics with Reduced-Order Autodifferentiable Ensemble Kalman Filtering For Turbulence Modeling and Flow Regulation
Accurately reconstructing and forecasting high-resolution (HR) states from computationally cheap low-resolution (LR) observations is central to estimation-and-control of spatio-temporal PDE systems. We develop a unified superresolution pipeline based on the reduced-order autodifferentiable Ensemble Kalman filter (ROAD-EnKF). The method learns a low-dimensional latent dynamics model and a nonlinear decoder from latent variables to HR fields; the learned pair is embedded in an EnKF, enabling simu…

The first trickle from filter to pool pond.
The main pond is not quite 3/4 full, but I thought it was important to make sure the filter was completely full and ready to start filtering. So I have shored up the low edges of the filter, taken away the temporary stream, and now the water is starting to flow from filter to pond. In time it will connect with the pump bay. Then I can turn on the pump and start circulating for real.
😆
The reason this is happening now is not the best reason. Our view to the southeast is not encouraging.
😔 🔥
#poolpond #oops #fire #diy

Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
Keyi Ding, Carrie Filion, Rosemary F. G. Wyse, Evan N. Kirby, Itsuki Ogami, Masashi Chiba, Yutaka Komiyama, L\'aszl\'o Dobos, Alexander S. Szalay
https://arxiv.org/abs/2510.07005

Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
We present our photometric method, which combines Subaru/HSC $NB515$, g, and i band filters to distinguish giant stars in Local Group galaxies from Milky Way dwarf contamination. The $NB515$ filter is a narrow-band filter that covers the MgI+MgH features at $5150$ Å, and is sensitive to stellar surface gravity. Using synthetic photometry derived from large empirical stellar spectral libraries, we model the $NB515$ filter's sensitivity to stellar atmospheric parameters and chemical abundances. …

Data-Driven Filtering of the Spherical Harmonics Method
Benjamin Plumridge, Cory Hauck, Steffen Schotthofer
https://arxiv.org/abs/2510.05452 https://arxiv.…

Data-Driven Filtering of the Spherical Harmonics Method
We investigate a data-driven approach for tuning the filtered spherical harmonics method (\fpn) when solving the radiation transport equation (RTE). The \fpn method extends the classical spherical harmonics approach (\pn) by introducing regularization through a filter operator, which mitigates spurious oscillations caused by Gibbs' phenomenon. This filter includes a tunable parameter, the {filter strength}, that controls the degree of smoothing applied to the solution. However, selecting an opt…

When marine radar target detection meets pretrained large language models
Qiying Hu, Linping Zhang, Xueqian Wang, Gang Li, Yu Liu, Xiao-Ping Zhang
https://arxiv.org/abs/2509.12110

When marine radar target detection meets pretrained large language models
Deep learning (DL) methods are widely used to extract high-dimensional patterns from the sequence features of radar echo signals. However, conventional DL algorithms face challenges such as redundant feature segments, and constraints from restricted model sizes. To address these issues, we propose a framework that integrates feature preprocessing with large language models (LLMs). Our preprocessing module tokenizes radar sequence features, applies a patch selection algorithm to filter out uninf…

Reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
https://arxiv.org/abs/2509.18224 https://arxiv.org/pdf/250…

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Iftekhar Ahmed, Tanzil Ebad Chowdhury, Biggo Bushon Routh, Nafisa Tasmiya, Shadman Sakib, Adil Ahmed Chowdhury
https://arxiv.org/abs/2510.09493

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Kidneys are the filter of the human body. About 10% of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To protect in danger patients from additional kidney damage, effective risk evaluation of CKD and appropriate CKD monitoring are crucial. Due to quick and precise detection capabilities, Machine Learning models can help practitioners accomplish this goal efficiently; therefore, an enormous number of diagnosis systems and…

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Gayathri Shekar, Saman Atapattu, Prathapasinghe Dharmawansa, Kandeepan Sithamparanathan
https://arxiv.org/abs/2510.04530

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Holographic MIMO (HMIMO) has emerged as a promising solution for future wireless systems by enabling ultra-dense, spatially continuous antenna deployments. While prior studies have primarily focused on electromagnetic (EM) modeling or simulation-based performance analysis, a rigorous communication-theoretic framework remains largely unexplored. This paper presents the first analytical performance study of a multi-user HMIMO downlink system with matched filter (MF) precoding - a low-complexity b…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/8]:
- EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Yuzhi Zhang, Yue Wang

i've also drained both the filter and the pump bay. The blueberries are getting a very good drink today. 🫐
I probably won't circulate water through the stream again until I get the main pond weighed down with rock on the bottom. I wanted to try to start building the rock lining around the wall of the main pond to see if it would hold and be sufficient.
But I might just let the bottom of the pond dry out completely. It's going to be nice and warm again the next couple days so it is best for it to let it dry out and harden up.
#poolpond #backyardProject #diy

Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System
Yating Chen, Cai Wen, Yan Huang, Jinye Peng, Wei Hong, Timothy N. Davidson
https://arxiv.org/abs/2508.10430

Interleaved Transceiver Design for a Continuous- Transmission MIMO-OFDM ISAC System
This paper proposes an interleaved transceiver design method for a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system utilizing orthogonal frequency division multiplexing (OFDM) waveforms. We consider a continuous transmission system and focus on the design of the transmission signal and a receiving filter in the time domain for an interleaved transmission architecture. For communication performance, constructive interference (CI) is integrated into the opt…

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Jiazhao Wang, Wenchao Jiang
https://arxiv.org/abs/2507.17106 https://

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Spectrum multiplexer enables simultaneous transmission of multiple narrow-band IoT signals through gateway devices, thereby enhancing overall spectrum utilization. We propose a novel solution based on filter banks that offer increased efficiency and minimal distortion compared with conventional methods. We follow a model-driven approach to integrate the neural networks into the filter bank design by interpreting the neural network models as filter banks. The proposed NN-based filter banks can l…

CKFNet: Neural Network Aided Cubature Kalman filtering
Jinhui Hu, Haiquan Zhao, Yi Peng
https://arxiv.org/abs/2508.09727 https://arxiv.org/pdf/2508.09727…

CKFNet: Neural Network Aided Cubature Kalman filtering
The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address this limitation, we propose CKFNet-a hybrid architecture that synergistically integrates recurrent neural networks (RNN) with the CKF framework while preserving its cubature principles. Unlike conventional model-driven approaches, CKFNet embeds RNN modules in the prediction phase to dynamically adapt to unmodel…