Tootfinder

Wise says it plans to shift main listing from London to New York, the latest blow to London's stock market, and will maintain a secondary listing on the LSE (Bloomberg)
https://www.bloomberg.com/news/articles/20

Multiuser Beamformig for Pinching-Antenna Systems: An Element-wise Optimization Framework
Mingjun Sun, Chongjun Ouyang, Shaochuan Wu, Yuanwei Liu
https://arxiv.org/abs/2506.03770 …

Multiuser Beamformig for Pinching-Antenna Systems: An Element-wise Optimization Framework
The pinching-antenna system (PASS) reconstructs wireless channels through pinching beamforming, i.e., optimizing the activated locations of pinching antennas (PAs) along the waveguide. The aim of this article is to investigate the joint design of baseband beamforming and pinching beamforming. A low-complexity element-wise sequential optimization framework is proposed to address the sum-rate maximization problem in PASS-enabled downlink and uplink channels. i) For the downlink scenario, maximum …

I am still alive. so many things happened both rl-wise and fandom-wise. most importantly my health deteriotated really badly lol

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan L. Yuille, Zongwei Zhou
https://arxiv.org/abs/2506.02093

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
Widely adopted evaluation metrics for sparse-view CT reconstruction--such as Structural Similarity Index Measure and Peak Signal-to-Noise Ratio--prioritize pixel-wise fidelity but often fail to capture the completeness of critical anatomical structures, particularly small or thin regions that are easily missed. To address this limitation, we propose a suite of novel anatomy-aware evaluation metrics designed to assess structural completeness across anatomical structures, including large organs, …

Fx-Encoder : Extracting Instrument-Wise Audio Effects Representations from Mixtures
Yen-Tung Yeh, Junghyun Koo, Marco A. Mart\'inez-Ram\'irez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji
https://arxiv.org/abs/2507.02273

Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures
General-purpose audio representations have proven effective across diverse music information retrieval applications, yet their utility in intelligent music production remains limited by insufficient understanding of audio effects (Fx). Although previous approaches have emphasized audio effects analysis at the mixture level, this focus falls short for tasks demanding instrument-wise audio effects understanding, such as automatic mixing. In this work, we present Fx-Encoder++, a novel model design…

Calamus 23 This moment as I sit alone
A promise of global unity, Whitman sharing his adulation for men in other countries.
I guess this is an antidote to Whitman's nationalism? His celebrations of America seem sweet and sincere but they are very American-centric. Here he's explicitly saying men of other lands can be just as wise, beautiful, or benevolent as American men. It seems unusual that he feels he has to say it explicitly.
As for the queer reading, his conclusion is
I know we should be brethren and lovers
There's that word, "lovers". It's so brash it's hard to understand. It seems uncharacteristically direct even understanding Whitman as a gay poet. Maybe this is some 19th century romantic language, mixing what feels very gay in with a more general celebration of brotherhood? Or maybe it is literally what it says, Whitman eroticizing international men.

This https://arxiv.org/abs/2502.18744 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
Recent efforts in LLM alignment have focused on constructing large-scale preference datasets via human or Artificial Intelligence (AI) annotators. However, such approaches rely on instance-wise supervision, incurring substantial annotation cost and limited interpretability. In this paper, we propose ZEBRA - a model behavior-wise zero-annotation framework that constructs preference data by leveraging model behavior knowledge derived from benchmark performances. ZEBRA binarizes response pairs by …

I grew up in Providence, Rhode Island, very close to where Roger Williams landed. Perhaps he is a person we ought to celebrate - a firm believe in individual rights, especially in faith; a firm believer in treating everyone (including the indigenous peoples) honestly and fairly.
"Boast not proud English, of thy birth & blood; Thy brother Indian is by birth as Good. Of one blood God made Him, and Thee and All, As wise, as fair, as strong, as personal."
"...…

I grew up in Providence, Rhode Island, very close to where Roger Williams landed. Perhaps he is a person we ought to celebrate - a firm believe in individual rights, especially in faith; a firm believer in treating everyone (including the indigenous peoples) honestly and fairly.
"Boast not proud English, of thy birth & blood; Thy brother Indian is by birth as Good. Of one blood God made Him, and Thee and All, As wise, as fair, as strong, as personal."
"...…

This https://arxiv.org/abs/2501.09015 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Family-wise Error Rate Control with E-values
The closure principle is a standard tool for achieving strong family-wise error rate (FWER) control in multiple testing problems. We develop an e-value-based closed testing framework that inherits nice properties of e-values, which are common in settings of sequential hypothesis testing or universal inference for irregular parametric models. We prove that e-value-based closed testing strongly controls the post-hoc FWER in the static setting, and has stronger anytime-valid and always-valid FWER-…

This https://arxiv.org/abs/2308.13140 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Deep reinforcement learning (RL) excels in various control tasks, yet the absence of safety guarantees hampers its real-world applicability. In particular, explorations during learning usually results in safety violations, while the RL agent learns from those mistakes. On the other hand, safe control techniques ensure persistent safety satisfaction but demand strong priors on system dynamics, which is usually hard to obtain in practice. To address these problems, we present Safe Set Guided Stat…

This https://arxiv.org/abs/2506.03074 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for Generalized Low-Rank Trace Regression
We present `GL-LowPopArt`, a novel Catoni-style estimator for generalized low-rank trace regression. Building on `LowPopArt` (Jang et al., 2024), it employs a two-stage approach: nuclear norm regularization followed by matrix Catoni estimation. We establish state-of-the-art estimation error bounds, surpassing existing guarantees (Fan et al., 2019; Kang et al., 2022), and reveal a novel experimental design objective, $\mathrm{GL}(π)$. The key technical challenge is controlling bias from the non…

Debates over biological control are resurfacing
as U.S. entomologists seek to do something about a new pest in their cross hairs:
the spotted lanternfly,
a winged insect that feasts on vineyard vines, fruit and forest trees.
Baby lanternflies start to hatch in May and begin to grow into adults over the summer.
Come July, millions of people on the East Coast, from New York to Virginia, will start to see lanternflies overhead and on the ground.
Some models p…

Opinion | Squashing Spotted Lanternflies Will Get Us Only So Far. We Need Wasps.
Is it wise to use one organism to combat another invasive one?

K-order Ranking Preference Optimization for Large Language Models
Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
https://arxiv.org/abs/2506.00441

K-order Ranking Preference Optimization for Large Language Models
To adapt large language models (LLMs) to ranking tasks, existing list-wise methods, represented by list-wise Direct Preference Optimization (DPO), focus on optimizing partial-order or full-order list ranking consistency for LLMs to enhance their ranking abilities. However, we argue that optimizing top-K ranking consistency could be more appropriate for real-world applications. There are two main reasons: (1) users are typically concerned with only the top-K results, making top-K ranking more im…

Prompt learning with bounding box constraints for medical image segmentation
M\'elanie Gaillochet, Mehrdad Noori, Sahar Dastani, Christian Desrosiers, Herv\'e Lombaert
https://arxiv.org/abs/2507.02743

Prompt learning with bounding box constraints for medical image segmentation
Pixel-wise annotations are notoriously labourious and costly to obtain in the medical domain. To mitigate this burden, weakly supervised approaches based on bounding box annotations-much easier to acquire-offer a practical alternative. Vision foundation models have recently shown noteworthy segmentation performance when provided with prompts such as points or bounding boxes. Prompt learning exploits these models by adapting them to downstream tasks and automating segmentation, thereby reducing …

This https://arxiv.org/abs/2502.09775 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

CellFlux: Simulating Cellular Morphology Changes via Flow Matching
Building a virtual cell capable of accurately simulating cellular behaviors in silico has long been a dream in computational biology. We introduce CellFlux, an image-generative model that simulates cellular morphology changes induced by chemical and genetic perturbations using flow matching. Unlike prior methods, CellFlux models distribution-wise transformations from unperturbed to perturbed cell states, effectively distinguishing actual perturbation effects from experimental artifacts such as …

Strict hierarchy between $n$-wise measurement simulability, compatibility structures, and multi-copy compatibility
Lucas Tendick, Costantino Budroni, Marco T\'ulio Quintino
https://arxiv.org/abs/2506.21223

Strict hierarchy between $n$-wise measurement simulability, compatibility structures, and multi-copy compatibility
The incompatibility of quantum measurements, i.e. the fact that certain observable quantities cannot be measured jointly is widely regarded as a distinctive quantum feature with important implications for the foundations and the applications of quantum information theory. While the standard incompatibility of multiple measurements has been the focus of attention since the inception of quantum theory, its generalizations, such as measurement simulability, $n$-wise incompatibility, and mulit-copy…

🎵 And your wise men DO know how it feels
To be thick as another brick in the wall 🎵
REUTERS: A building brick made almost entirely from recycled rubble may help solve one of the construction industry’s biggest environmental challenges — managing its significant waste.
https:/…

Could these recycled bricks help build a low-carbon future? | Reuters
A building brick made almost entirely from recycled rubble could help solve one of the construction industry’s biggest environmental challenges — managing its significant waste.   Unlike traditional clay bricks, the K-BRIQ, made by Kenoteq in Edinburgh, Scotland, produces 95% fewer carbon emissions.   #brick #construction #rubble #environment #climatechange #building

Multiple telescopes produce new view of Andromeda #space

You've never seen the Andromeda Galaxy like this before. Multiple telescopes produce new view of our spiral neighbour | BBC Sky at Night Magazine
Image of the Andromeda Galaxy in multiple wavelengths, produced by multiple space telescopes and ground-based observatories.

This https://arxiv.org/abs/2503.19322 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A 1.48-2.48 $\mathrmμ$m R=28000 spectroscopic atlas of the L7.5 and T0.5 components of the nearest pair of brown dwarfs: Luhman 16AB
We present a high signal-to-noise (SNR $\sim$ 450), high-dispersion ($R \equiv λ/ Δλ\sim 28\,000$) H- and K-band spectroscopic atlas of the L7.5 and T0.5 components of the Luhman 16AB binary (WISE J104915.57$-$531906.1AB): the closest pair of brown dwarfs, and one of the best substellar benchmarks. The spectra were combined from a 70-day spectroscopic monitoring campaign of the binary with IGRINS on Gemini South. We fit model photospheres to the combined high-quality spectra to estimate atmo…

Numerical Linear Algebra in Linear Space
Yiping Liu, Hoai-An Nguyen, Junzhao Yang
https://arxiv.org/abs/2507.02433 https://arxiv.org/…

Numerical Linear Algebra in Linear Space
We present a randomized linear-space solver for general linear systems $\mathbf{A} \mathbf{x} = \mathbf{b}$ with $\mathbf{A} \in \mathbb{Z}^{n \times n}$ and $\mathbf{b} \in \mathbb{Z}^n$, without any assumption on the condition number of $\mathbf{A}$. For matrices whose entries are bounded by $\mathrm{poly}(n)$, the solver returns a $(1+ε)$-multiplicative entry-wise approximation to vector $\mathbf{x} \in \mathbb{Q}^{n}$ using $\widetilde{O}(n^2 \cdot \mathrm{nnz}(\mathbf{A}))$ bit operations…

A Group-Wise Narrow Beam Design for Uplink Channel Estimation in Hybrid Beamforming Systems
Yufan Zhou, Yongbo Xiao, An Liu
https://arxiv.org/abs/2506.01043

A Group-Wise Narrow Beam Design for Uplink Channel Estimation in Hybrid Beamforming Systems
In this paper, we consider uplink channel estimation for massive multi-input multi-output (MIMO) systems with partially connected hybrid beamforming (PC-HBF) structures. Existing beam design and channel estimation schemes are usually based on ideal assumptions and require transmitting pilots across multiple timeslots, making them unsuitable for practical PC-HBF systems. To overcome these drawbacks, we propose a novel beam design and a corresponding channel estimation algorithm to achieve accura…

I believe a philosophy that can be called wide-ass. Everyone contributes their thoughts, and beliefs, and actions to the wide-ass philosophy.
My personal philosophies are more wise-ass. But I don't think that navel-gazing from the inside, or head-up-the-ass philosophies will lead to useful enlightenment.
I could be wrong... It wouldn't be the 1st time...
#Philosophy

Online Audio-Visual Autoregressive Speaker Extraction
Zexu Pan, Wupeng Wang, Shengkui Zhao, Chong Zhang, Kun Zhou, Yukun Ma, Bin Ma
https://arxiv.org/abs/2506.01270

Online Audio-Visual Autoregressive Speaker Extraction
This paper proposes a novel online audio-visual speaker extraction model. In the streaming regime, most studies optimize the audio network only, leaving the visual frontend less explored. We first propose a lightweight visual frontend based on depth-wise separable convolution. Then, we propose a lightweight autoregressive acoustic encoder to serve as the second cue, to actively explore the information in the separated speech signal from past steps. Scenario-wise, for the first time, we study ho…

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Christian Tinauer, Maximilian Sackl, Stefan Ropele, Christian Langkammer
https://arxiv.org/abs/2506.03890

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2* maps, but their decision-making remains opaque, raising concerns about interpretability. Previous studies suggest biases in model decisions, necessitating further analysis. This study uses Layer-wise Relevance Propagation (LRP) and spectral clustering to explore classifier decision strategies across preprocessing and training configurations using R2* maps. We trained a 3D convolutional neural net…

The Raiders Are Wise to Continue Tweaking This Position Group https://www.si.com/nfl/raiders/las-vegas-devin-white-elandon-roberts-germaine-pratt-cincinnati-bengals

Forecasting Nigerian Equity Stock Returns Using Long Short-Term Memory Technique
Adebola K. Ojo, Ifechukwude Jude Okafor
https://arxiv.org/abs/2507.01964 h…

Forecasting Nigerian Equity Stock Returns Using Long Short-Term Memory Technique
Investors and stock market analysts face major challenges in predicting stock returns and making wise investment decisions. The predictability of equity stock returns can boost investor confidence, but it remains a difficult task. To address this issue, a study was conducted using a Long Short-term Memory (LSTM) model to predict future stock market movements. The study used a historical dataset from the Nigerian Stock Exchange (NSE), which was cleaned and normalized to design the LSTM model. Th…

I bet this (extremely photogenic) trash can has seen things you wouldn’t believe. Spotted last night at EXIT/IN in #Nashville

Some Friday Night ÖPNV trivia: What local and regional trains in Europe have First Class? Only trains where Interrail is valid count. #BahnBubble
I’ll start with the Leonardo Express, Roma Termini–Fiumicino Aeroporto, which has *only* First Class. (Which comfort-wise is second class, though.)

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping
Yifei Sun, Marshall A. Dalton, Robert D. Sanders, Yixuan Yuan, Xiang Li, Sharon L. Naismith, Fernando Calamante, Jinglei Lv
https://arxiv.org/abs/2507.01411

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping
Grey matter loss in the hippocampus is a hallmark of neurobiological aging, yet understanding the corresponding changes in its functional connectivity remains limited. Seed-based functional connectivity (FC) analysis enables voxel-wise mapping of the hippocampus's synchronous activity with cortical regions, offering a window into functional reorganization during aging. In this study, we develop an interpretable deep learning framework to predict brain age from hippocampal FC using a three-dimen…

The $M_{\rm BH}-M_\star$ Relation of the hyperluminous Dust-obscured Quasars up to $z \sim 4$
Yibin Luo, Lulu Fan, Weibin Sun, Haoran Yu, Yunkun Han, Guangwen Chen, Mengqiu Huang, Yihang Zhang, Zheyu Lin
https://arxiv.org/abs/2506.01218

The $M_{\rm BH}-M_\star$ Relation of the hyperluminous Dust-obscured Quasars up to $z \sim 4$
Hot dust-obscured galaxies (Hot DOGs) are a rare population of hyperluminous dust-obscured quasars discovered by the Wide-field Infrared Survey Explorer (WISE) all-sky survey. The heavy circumnuclear dust obscuration allows only a small amount of scattered light from the obscured quasar to escape, enabling the decomposition of the stellar component from the total flux. The presence of scattered light enables the redshift of the source and the properties of the black hole to be obtained from SDS…

Sonnet 140 - CXL
Be wise as thou art cruel; do not press
My tongue-tied patience with too much disdain;
Lest sorrow lend me words, and words express
The manner of my pity-wanting pain.
If I might teach thee wit, better it were,
Though not to love, yet, love to tell me so;
As testy sick men, when their deaths be near,
No news but health from their physicians know;
For, if I should despair, I should grow mad,
And in my madness might s…

StreamFlow: Streaming Flow Matching with Block-wise Guided Attention Mask for Speech Token Decoding
Dake Guo, Jixun Yao, Linhan Ma, Wang He, Lei Xie
https://arxiv.org/abs/2506.23986

StreamFlow: Streaming Flow Matching with Block-wise Guided Attention Mask for Speech Token Decoding
Recent advancements in discrete token-based speech generation have highlighted the importance of token-to-waveform generation for audio quality, particularly in real-time interactions. Traditional frameworks integrating semantic tokens with flow matching (FM) struggle with streaming capabilities due to their reliance on a global receptive field. Additionally, directly implementing token-by-token streaming speech generation often results in degraded audio quality. To address these challenges, we…

Symmetrization for high dimensional dependent random variables
Jonathan B. Hill
https://arxiv.org/abs/2506.00547 https://arxiv.org/pd…

Symmetrization for high dimensional dependent random variables
We establish a generic symmetrization property for dependent random variables $\{x_{t}\}_{t=1}^{n}$ on $\mathbb{R}^{p}$, where $p$ $>>$ $n$ is allowed. We link $\mathbb{E}ψ(\max_{1\leq i\leq p}|1/n\sum_{t=1}^{n}(x_{i,t}$ $-$ $\mathbb{E}x_{i,t})|)$ to $\mathbb{E}ψ(\max_{1\leq i\leq p}|1/n$ $\sum_{t=1}^{n}η_{t}(x_{i,t}$ $-$ $\mathbb{E}% x_{i,t})|)$ for non-decreasing convex $ψ$ $:$ $[0,\infty )$ $\rightarrow $ $\mathbb{R}$, where $\{η_{t}\}_{t=1}^{n}$ are block-wise indep…

Constant-depth circuits for polynomial GCD over any characteristic
Somnath Bhattacharjee, Mrinal Kumar, Shanthanu Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf
https://arxiv.org/abs/2506.23220

Constant-depth circuits for polynomial GCD over any characteristic
We show that the GCD of two univariate polynomials can be computed by (piece-wise) algebraic circuits of constant depth and polynomial size over any sufficiently large field, regardless of the characteristic. This extends a recent result of Andrews & Wigderson who showed such an upper bound over fields of zero or large characteristic. Our proofs are based on a recent work of Bhattacharjee, Kumar, Rai, Ramanathan, Saptharishi \& Saraf that shows closure of constant depth algebraic circuits und…

Lattice Boltzmann Boundary Conditions for Flow, Convection-Diffusion and MHD Simulations
Jun Li, Wai Hong Ronald Chan, Zhe Feng, Chenglei Wang
https://arxiv.org/abs/2506.00907

Lattice Boltzmann Boundary Conditions for Flow, Convection-Diffusion and MHD Simulations
A general derivation is proposed for several boundary conditions arisen in the lattice Boltzmann simulations of various physical problems. Pair-wise moment-conservations are proposed to enforce the boundary conditions with given macroscopic quantities, including the velocity and pressure boundary conditions in flow simulations, a given concentration in convection-diffusion (CD) simulations, as well as specified magnetic field components in magnetohydrodynamical (MHD) simulations. Additionally, …

Cowboys would be wise to pass on bringing $191 million future Hall of Famer back to Texas https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/20/cowboys-von-miller-free-agent-2025-pursu…

This https://arxiv.org/abs/2307.10434 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csFL_…

Learning Formal Specifications from Membership and Preference Queries
Active learning is a well-studied approach to learning formal specifications, such as automata. In this work, we extend active specification learning by proposing a novel framework that strategically requests a combination of membership labels and pair-wise preferences, a popular alternative to membership labels. The combination of pair-wise preferences and membership labels allows for a more flexible approach to active specification learning, which previously relied on membership labels only. …

Culinarily and insult-wise both, there's no clear distinction between a fruit and a vegetable.


TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
Xue Xia, Saurabh Vishwas Joshi, Kousik Rajesh, Kangnan Li, Yangyi Lu, Nikil Pancha, Dhruvil Deven Badani, Jiajing Xu, Pong Eksombatchai
https://arxiv.org/abs/2506.02267

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
Modeling user action sequences has become a popular focus in industrial recommendation system research, particularly for Click-Through Rate (CTR) prediction tasks. However, industry-scale CTR models often rely on short user sequences, limiting their ability to capture long-term behavior. Additionally, these models typically lack an integrated action-prediction task within a point-wise ranking framework, reducing their predictive power. They also rarely address the infrastructure challenges invo…

Watching a house sparrow eating a grain of cooked rice from the leftovers I put out for the birds.
Size-wise, it's like a person eating a baguette, a whole meal!
I try to never bin anything that some other creature might like to eat 😊

Series A, Episode 12 - Deliverance
VILA: But did they do it?
AVON: "And the way was found." Does it go on?
MEEGAT: Deliverance was prepared. And Kashell the Wise was satisfied that it was good.
https://blake.torpidity.net/m/112/357 B7B6

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models
Parismita Gogoi, Sishir Kalita, Wendy Lalhminghlui, Viyazonuo Terhiija, Moakala Tzudir, Priyankoo Sarmah, S. R. M. Prasanna
https://arxiv.org/abs/2506.03606

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models
This study explores the use of self-supervised learning (SSL) models for tone recognition in three low-resource languages from North Eastern India: Angami, Ao, and Mizo. We evaluate four Wav2vec2.0 base models that were pre-trained on both tonal and non-tonal languages. We analyze tone-wise performance across the layers for all three languages and compare the different models. Our results show that tone recognition works best for Mizo and worst for Angami. The middle layers of the SSL models ar…

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Fengze Li, Yue Wang, Yangle Liu, Ming Huang, Dou Hong, Jieming Ma
https://arxiv.org/abs/2506.20167

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Multivariate time series forecasting requires models to simultaneously capture variable-wise structural dependencies and generalize across diverse tasks. While structural encoders are effective in modeling feature interactions, they lack the capacity to support semantic-level reasoning or task adaptation. Conversely, large language models (LLMs) possess strong generalization capabilities but remain incompatible with raw time series inputs. This gap limits the development of unified, transferabl…

lynn bought a couple sheets of these really cute stamps

This https://arxiv.org/abs/2505.20404 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Co-Design of Soft Gripper with Neural Physics
For robot manipulation, both the controller and end-effector design are crucial. Soft grippers are generalizable by deforming to different geometries, but designing such a gripper and finding its grasp pose remains challenging. In this paper, we propose a co-design framework that generates an optimized soft gripper's block-wise stiffness distribution and its grasping pose, using a neural physics model trained in simulation. We derived a uniform-pressure tendon model for a flexure-based soft fin…

I don't mind that they moved to 3d for Moonlighter 2, but not testing the demo for performance on the #SteamDeck seems like a huge miss
Really chugging. Apparently it's not great performance-wise on PC either. I'm not sure they understand their fan base.

Protoplanetary Disk Survival Time-scales: A Blind Survey of Young Clusters up to 100 Myr in the Solar Vicinity
Gregory Mathews Ben, Jessy Jose, Jes\'us Hern\'andez
https://arxiv.org/abs/2507.01619

Protoplanetary Disk Survival Time-scales: A Blind Survey of Young Clusters up to 100 Myr in the Solar Vicinity
We study the protoplanetary disk lifetimes using a large sample of young stellar objects in nearby clusters. To investigate the final phase of disk dissipation, we selected 32 clusters, located within 500 pc and aged between 1 and 100 Myr, with membership determined using Gaia data. The Age and mass information of the sources are obtained through spectral energy distribution (SED) analysis and using evolutionary models of various ages. Using the IR data from 2MASS and WISE catalogues, we employ…

My latest bit for The Register on why engineers should develop their communication skills:
https://www.theregister.com/2025/05/18/communications_for_engineers/

To progress as an engineer career-wise, become a great communicator
Systems Approach: It'll even help you develop technical skills

#WiseLearn, auf der Plattform "WiseLearn" können ältere Menschen #digitale Lernangebote nutzen und eigene Projekte verwirklichen. #Alter

Coprimality of elements in regular sequences with polynomial growth
Jean-Marc Deshouillers, Sunil Naik
https://arxiv.org/abs/2506.20956 https://

Coprimality of elements in regular sequences with polynomial growth
The investigation of primes in certain arithmetic sequences is one of the fundamental problems in number theory and especially, finding blocks of distinct primes has gained a lot of attention in recent years. In this context, we prove the existence of long blocks of $k$-wise coprime elements in certain regular sequences. More precisely, we prove that for any positive integers $H \geq k \geq 2$ and for a real-valued $k$-times continuously differentiable function $f \in \mathcal{C}^k\left( [1, \i…

This https://arxiv.org/abs/2505.18975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization
State Space Models (SSMs), like recent Mamba2, have achieved remarkable performance and received extensive attention. However, deploying Mamba2 on resource-constrained edge devices encounters many problems: severe outliers within the linear layer challenging the quantization, diverse and irregular element-wise tensor operations, and hardware-unfriendly nonlinear functions in the SSM block. To address these issues, this paper presents FastMamba, a dedicated accelerator on FPGA with hardware-algo…

@… *oof* that is not a wise choice

This should be the last minirack post for awhile as it's 99.9% finished. It was a very fun build, and it's a heluva-lot quieter than what it replaced. I did lose network bandwidth, but the new cluster does exactly what it's supposed to. Live migrations are fast enough, iSCSI network means that the VMs are snappy storage-wise. The PiKVM Switch fits perfectly in the basement.
The dual fans fixed the issue of the top Minisforum MS-A2 baking from the heat of the RPis, and…

Robust and Efficient Autoregressive Speech Synthesis with Dynamic Chunk-wise Prediction Policy
Bohan Li, Zhihan Li, Haoran Wang, Hanglei Zhang, Yiwei Guo, Hankun Wang, Xie Chen, Kai Yu
https://arxiv.org/abs/2506.22023

Robust and Efficient Autoregressive Speech Synthesis with Dynamic Chunk-wise Prediction Policy
Recently, autoregressive (AR) language models have emerged as a dominant approach in speech synthesis, offering expressive generation and scalable training. However, conventional AR speech synthesis models relying on the next-token prediction paradigm often encounter significant challenges when handling long speech sequences. These models often struggle to construct stable frame-to-frame attention, leading to increased latency and degraded synthesis quality, thereby limiting their feasibility f…

Replaced article(s) found for cs.DM. https://arxiv.org/list/cs.DM/new
[1/1]:
- A Row-wise Algorithm for Graph Realization
Rolf van der Hulst, Matthias Walter

@… unsolicited wild thought: what if the per item front-matter would be within an HTML comment?
1. This would allow any Markdown processor to continue to work.
2. Implementation wise, achieving this won't be extremely extensive.
(Context: I implemented over time many Markdown extensions. Most of the time the main struggle was to find the balance between ease of using (as in writing) the new elements and ensuring that tools unware of the new elements won't choke on them.)

PanTS: The Pancreatic Tumor Segmentation Dataset
Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Szymon Plotka, Jaroslaw B. Cwikla, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan L. Yuille, Zongwei Zhou
https://arxiv.org/abs/2507.01291

PanTS: The Pancreatic Tumor Segmentation Dataset
PanTS is a large-scale, multi-institutional dataset curated to advance research in pancreatic CT analysis. It contains 36,390 CT scans from 145 medical centers, with expert-validated, voxel-wise annotations of over 993,000 anatomical structures, covering pancreatic tumors, pancreas head, body, and tail, and 24 surrounding anatomical structures such as vascular/skeletal structures and abdominal/thoracic organs. Each scan includes metadata such as patient age, sex, diagnosis, contrast phase, in-p…

Ergodic automorphisms on Kirchberg algebras
Kengo Matsumoto, Taro Sogabe
https://arxiv.org/abs/2505.23168 https://arxiv.org/pdf/2505.…

Ergodic automorphisms on Kirchberg algebras
Combining the theory of extensions of C*-algebras and the Pimsner construction, we show that every countable infinite discrete group admits an ergodic action on arbitrary unital Kirchberg algebra. In the proof, we give a Pimsner construction realizing many unital subalgebras of a given unital Kirchberg algebra as the fixed point algebras of single automorphisms. Furthermore, for amenable infinite discrete groups, we show that every point-wise outer action on arbitrary unital Kirchberg algebra h…

Very early in the commercial registrar era, some registrars priced domains in harmony with their costs: no teaser marketing, just discounts on buying multiple future years at once. Even after everyone stopped giving out-year discounts explicitly, the fact of inflation in upstream fees made it wise for legitimate domain holders to buy many years in advance.
I am close to wanting a return to the InterNIC model. DNS Marxism.

The Spamhaus Project (@spamhaus@infosec.exchange)
Attached: 1 image Over the past 30 days, six gTLDs have ranked in the Top 10 for being associated with botnet C2s - all showing significant increases in detections 📈: .tech (+4,000%), .icu (+433%), .today (+429%), .fun (+400%), .digital (+314%), and .life (+258%). 🌐 Full stats over at: https://www.spamhaus.org/reputation-statistics/gtlds/domains/ These TLDs are all cheap to register (as low as $0.98 using a promo code 🤑), but expensive to renew. Perfect conditions for throwaway dom…

Finished the initial GPU based zero-crossing search block for libscopehal.
It's not used in anything yet as it's not an exact drop-in replacement API wise for the CPU version, but is massively faster (30x speedup for 50M points on 2080 Ti vs Xeon 6144) so I'll be gradually refactoring filters to take advantage of it,

Weakly $G$-slim complexes and the non-positive immersion property for generalized Wirtinger presentations
Agust\'in Nicol\'as Barreto, Elias Gabriel Minian
https://arxiv.org/abs/2506.19105

Weakly $G$-slim complexes and the non-positive immersion property for generalized Wirtinger presentations
We investigate weakly $G$-slim complexes, a more flexible variant of Helfer and Wise's slim complexes, which can be defined on any regular $G$-covering. We prove that if a $2$-complex $X$ associated to a group presentation is weakly $H$-slim for some regular $H$-covering, and $π_1X$ is left-orderable, then $X$ is slim and, in particular, it has non-positive immersions. We apply this result to study conditions on generalized Wirtinger presentations that guarantee the non-positive immersion prop…

This https://arxiv.org/abs/2505.20688 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
False discovery rate (FDR) control methods are essential for voxel-wise multiple testing in neuroimaging data analysis, where hundreds of thousands or even millions of tests are conducted to detect brain regions associated with disease-related changes. Classical FDR control methods (e.g., BH, q-value, and LocalFDR) assume independence among tests and often lead to high false non-discovery rates (FNR). Although various spatial FDR control methods have been developed to improve power, they still …

$C_{pq}$-Injective Diagrams and a Combination Theorem for Minimal Models
Soumyadip Thandar
https://arxiv.org/abs/2506.17998 https://a…

$C_{pq}$-Injective Diagrams and a Combination Theorem for Minimal Models
We study diagrams of commutative differential graded algebras (DGAs) over the orbit category $\sO_G$ in the context of equivariant rational homotopy theory. For $G = C_{pq}$ with $p, q$ distinct primes, we give necessary conditions for injectivity. We prove a combination-type result: the equivariant wedge of injective diagrams over $\mathcal{O}_{C_p}$ and $\mathcal{O}_{C_q}$ with retract structure maps yields an injective diagram over $\mathcal{O}_{C_{pq}}$ with a level-wise minimal model. As a…

Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
Ngoc Long Pham, Tri Nhu Do
https://arxiv.org/abs/2506.00368 https…

Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
Neural network (NN)-based end-to-end (E2E) communication systems, in which each system component may consist of a portion of a neural network, have been investigated as potential tools for developing artificial intelligence (Al)-native E2E systems. In this paper, we propose an NN-based bitwise receiver that improves computational efficiency while maintaining performance comparable to baseline demappers. Building on this foundation, we introduce a novel symbol-wise autoencoder (AE)-based E2E sys…

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
Shrinivas Chimmalgi, Laurent Schmalen, Vahid Aref
https://arxiv.org/abs/2506.16098

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
Probabilistic constellation shaping enables easy rate adaption and has been proven to reduce the gap to Shannon capacity. Constellation point probabilities are optimized to maximize either the mutual information or the bit-wise mutual information. The optimization problem is however challenging even for simple channel models. While autoencoder-based machine learning has been applied successfully to solve this problem [1], it requires manual computation of additional terms for the gradient which…

FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Xiangzhong Fang, Jian Chen
https://arxiv.org/abs/2506.10035

FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
Recent advancements in text-to-image (T2I) generation have led to the emergence of highly expressive models such as diffusion transformers (DiTs), exemplified by FLUX. However, their massive parameter sizes lead to slow inference, high memory usage, and poor deployability. Existing acceleration methods (e.g., single-step distillation and attention pruning) often suffer from significant performance degradation and incur substantial training costs. To address these limitations, we propose FastFLU…

Cowboys wise to keep low-cost acquisition on current deal before giving $25 million a year https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/07/cowboys-george-pickens-expiring-deal/84093396007/…

Series A, Episode 12 - Deliverance
VILA: But did they do it?
AVON: "And the way was found." Does it go on?
MEEGAT: Deliverance was prepared. And Kashell the Wise was satisfied that it was good.
https://blake.torpidity.net/m/112/357 B7B6

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

🇺🇦 #NowPlaying on KEXP's #Expansions
Gideon, Rush Davis:
🎵 Wise God
#Gideon #RushDavis

This https://arxiv.org/abs/2411.09494 has been replaced.
initial toot: https://mastoxiv.page/@a…

Laser-Induced Relaxation Oscillations in Superconducting Nanobridge Single Photon Detectors
We demonstrate novel laser-induced relaxation oscillations in superconducting nanowire single photon detectors (SNSPDs). These oscillations appear when a voltage biased NbTiN nanobridge detector is illuminated with intense pulsed laser light at a repetition rate of $\sim19\text{MHz}$. They differ from the well-known relaxation oscillations by a step-wise increase in frequency and phase locking of the oscillations to the laser pulses. We create a model that incorporates electrical feedback and e…

Flexible MOF Generation with Torsion-Aware Flow Matching
Nayoung Kim, Seongsu Kim, Sungsoo Ahn
https://arxiv.org/abs/2505.17914 https://

Flexible MOF Generation with Torsion-Aware Flow Matching
Designing metal-organic frameworks (MOFs) with novel chemistries is a long-standing challenge due to their large combinatorial space and the complex 3D arrangements of building blocks. While recent deep generative models have enabled scalable MOF generation, they assume (1) a fixed set of building blocks and (2) known ground-truth local block-wise 3D coordinates. However, this limits their ability to (1) design novel MOFs and (2) generate the structure using novel building blocks. We propose a …

Replaced article(s) found for math.CO. https://arxiv.org/list/math.CO/new
[1/1]:
Erd\"os's Matching Conjecture and $s$-wise $t$-intersection Conjecture via Symmetrical Smoothing ...

This https://arxiv.org/abs/2505.18132 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Large vision models (LVM) based gait recognition has achieved impressive performance. However, existing LVM-based approaches may overemphasize gait priors while neglecting the intrinsic value of LVM itself, particularly the rich, distinct representations across its multi-layers. To adequately unlock LVM's potential, this work investigates the impact of layer-wise representations on downstream recognition tasks. Our analysis reveals that LVM's intermediate layers offer complementary properties a…

Hierarchical Group-wise Ranking Framework for Recommendation Models
YaChen Yan, Liubo Li, Ravi Choudhary
https://arxiv.org/abs/2506.12756 https://

Hierarchical Group-wise Ranking Framework for Recommendation Models
In modern recommender systems, CTR/CVR models are increasingly trained with ranking objectives to improve item ranking quality. While this shift aligns training more closely with serving goals, most existing methods rely on in-batch negative sampling, which predominantly surfaces easy negatives. This limits the model's ability to capture fine-grained user preferences and weakens overall ranking performance. To address this, we propose a Hierarchical Group-wise Ranking Framework with two key com…

Instabilities in Colloidal Crystals on Fluid Membranes
Sanjay Dharmavaram, Basant Lal Sharma
https://arxiv.org/abs/2506.17098 https://

Instabilities in Colloidal Crystals on Fluid Membranes
The complex physics of self-assembly in colloidal crystals on deformable interfaces and surfaces poses interesting possibilities for the designability and synthesis of next-generation metamaterials. The goal of this article is to characterize instabilities arising in colloidal crystals assembled on fluid membranes. The colloidal particles are modeled as pair-wise interacting point particles, constrained to lie on a fluid membrane and yet free to reorganize, and the membrane's elastic energy is …

I hit a wall inspiration-wise for the last few months to hack on my #homelab. Not entirely sure why that happened, maybe research fatigue from planning for my Japan trip?
Anyway finally got back into it a little bit today as I moved forward on setting up my M4 MacBook Pro. It's been sitting partially configured for months now but spent some time applying my dotfiles config.

Real adulthood is recognizing that a wise application of global state is preferable to constant refactoring of tiny implicit dependencies

This https://arxiv.org/abs/2505.00533 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Test-time Correlation Alignment
Deep neural networks often degrade under distribution shifts. Although domain adaptation offers a solution, privacy constraints often prevent access to source data, making Test-Time Adaptation (TTA, which adapts using only unlabeled test data) increasingly attractive. However, current TTA methods still face practical challenges: (1) a primary focus on instance-wise alignment, overlooking CORrelation ALignment (CORAL) due to missing source correlations; (2) complex backpropagation operations for…

This https://arxiv.org/abs/2502.09775 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

CellFlux: Simulating Cellular Morphology Changes via Flow Matching
Building a virtual cell capable of accurately simulating cellular behaviors in silico has long been a dream in computational biology. We introduce CellFlux, an image-generative model that simulates cellular morphology changes induced by chemical and genetic perturbations using flow matching. Unlike prior methods, CellFlux models distribution-wise transformations from unperturbed to perturbed cell states, effectively distinguishing actual perturbation effects from experimental artifacts such as …

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
Seyed Mohsen Hosseini
https://arxiv.org/abs/2506.15744 https://arxiv.or…

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
Class imbalance and the difficulty imbalance are the two types of data imbalance that affect the performance of neural networks in medical segmentation tasks. In class imbalance the loss is dominated by the majority classes and in difficulty imbalance the loss is dominated by easy to classify pixels. This leads to an ineffective training. Dice loss, which is based on a geometrical metric, is very effective in addressing the class imbalance compared to the cross entropy (CE) loss, which is adopt…

Infrared Variability of Carbon Stars in the LMC Observed with NEOWISE-R
Kyung-Won Suh
https://arxiv.org/abs/2506.22100 https://arxiv.…

Infrared Variability of Carbon Stars in the LMC Observed with NEOWISE-R
We investigate the infrared variability of carbon stars in the Large Magellanic Cloud (LMC). Our sample consists of 11,134 carbon stars identified in both visual and infrared bands. Among these, 1,184 objects are known Mira variables based on the Optical Gravitational Lensing Experiment III (OGLE-III) observations. We study the infrared variability of the entire sample using the Wide-field Infrared Survey Explorer (WISE) photometric data spanning the past 16 years, including the AllWISE multiep…

Wild refitting for black box prediction
Martin J. Wainwright
https://arxiv.org/abs/2506.21460 https://arxiv.org/pdf/2506.21460…

Wild refitting for black box prediction
We describe and analyze a computionally efficient refitting procedure for computing high-probability upper bounds on the instance-wise mean-squared prediction error of penalized nonparametric estimates based on least-squares minimization. Requiring only a single dataset and black box access to the prediction method, it consists of three steps: computing suitable residuals, symmetrizing and scaling them with a pre-factor $ρ$, and using them to define and solve a modified prediction problem rece…

TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization
Zengjue Chen, Runliang Niu, He Kong, Qi Wang
https://arxiv.org/abs/2506.08440

TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization
Recent advances in Vision-Language-Action (VLA) model have demonstrated strong generalization capabilities across diverse scenes, tasks, and robotic platforms when pretrained at large-scale datasets. However, these models still require task-specific fine-tuning in novel environments, a process that relies almost exclusively on supervised fine-tuning (SFT) using static trajectory datasets. Such approaches neither allow robot to interact with environment nor do they leverage feedback from live ex…

MIRIS Pa{\alpha} Galactic Plane Survey. II. The Catalog of Pa{\alpha} Emission-line Sources
Il-Joong Kim, Jeonghyun Pyo, Kwang-Il Seon, Woong-Seob Jeong, Takao Nakagawa, Toshio Matsumoto
https://arxiv.org/abs/2506.20256

MIRIS Paα Galactic Plane Survey. II. The Catalog of Paα Emission-line Sources
Using data from the MIRIS Paα Galactic Plane Survey (MIPAPS), we present a Paα 1.87 um line image of the entire Galactic plane within the latitude range of -3° < b < +3°, revealing numerous Paα features. Based on the MIPAPS Paα image and the WISE H II region catalog, we compile a catalog of 1489 Paα emission-line sources in the Galactic plane within 90° < l < 330°. By comparing our Paα images with Hα images constructed from the IPHAS and VPHAS+ survey data, we demonstrate the advanta…

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
Yuto Harada, Yusuke Yamauchi, Yusuke Oda, Yohei Oseki, Yusuke Miyao, Yu Takagi
https://arxiv.org/abs/2506.14681

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
Supervised fine-tuning (SFT) is a critical step in aligning large language models (LLMs) with human instructions and values, yet many aspects of SFT remain poorly understood. We trained a wide range of base models on a variety of datasets including code generation, mathematical reasoning, and general-domain tasks, resulting in 1,000+ SFT models under controlled conditions. We then identified the dataset properties that matter most and examined the layer-wise modifications introduced by SFT. Our…

This https://arxiv.org/abs/2505.05335 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

FLAM: Frame-Wise Language-Audio Modeling
Recent multi-modal audio-language models (ALMs) excel at text-audio retrieval but struggle with frame-wise audio understanding. Prior works use temporal-aware labels or unsupervised training to improve frame-wise capabilities, but they still lack fine-grained labeling capability to pinpoint when an event occurs. While traditional sound event detection models can precisely localize events, they are limited to pre-defined categories, making them ineffective for real-world scenarios with out-of-di…

Former $61 million 4-time All-Pro could land with Raiders in free agency https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/former-61-million-4-time-all-pro-could-land-raiders-fre…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/4]:
- PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian

Cross-lingual Data Selection Using Clip-level Acoustic Similarity for Enhancing Low-resource Automatic Speech Recognition
Shunsuke Mitsumori, Sara Kashiwagi, Keitaro Tanaka, Shigeo Morishima
https://arxiv.org/abs/2506.22194

Cross-lingual Data Selection Using Clip-level Acoustic Similarity for Enhancing Low-resource Automatic Speech Recognition
This paper presents a novel donor data selection method to enhance low-resource automatic speech recognition (ASR). While ASR performs well in high-resource languages, its accuracy declines in low-resource settings due to limited training data. A common solution is to leverage multilingual self-supervised learning (SSL) models with donor languages. However, existing methods rely on language-level similarity, overlooking clip-level variations. To address this limitation, we propose clip-wise aco…

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Cheng Wang, Siqi Chen, Donghua Mi, Yang Chen, Yudong Zhang, Yinsheng Li
https://arxiv.org/abs/2506.10325

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Recent advances in medical imaging have established deep learning-based segmentation as the predominant approach, though it typically requires large amounts of manually annotated data. However, obtaining annotations for intracranial hemorrhage (ICH) remains particularly challenging due to the tedious and costly labeling process. Semi-supervised learning (SSL) has emerged as a promising solution to address the scarcity of labeled data, especially in volumetric medical image segmentation. Unlike …

Identifying Heterogeneity in Distributed Learning
Zelin Xiao, Jia Gu, Song Xi Chen
https://arxiv.org/abs/2506.16394 https://arxiv.org…

Identifying Heterogeneity in Distributed Learning
We study methods for identifying heterogeneous parameter components in distributed M-estimation with minimal data transmission. One is based on a re-normalized Wald test, which is shown to be consistent as long as the number of distributed data blocks $K$ is of a smaller order of the minimum block sample size {and the level of heterogeneity is dense}. The second one is an extreme contrast test (ECT) based on the difference between the largest and smallest component-wise estimated parameters amo…

Replaced article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval
Huynh, Vu, Wang, Wei, Le, Gasevic, Li, Do

This https://arxiv.org/abs/2506.03770 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Multiuser Beamformig for Pinching-Antenna Systems: An Element-wise Optimization Framework
The pinching-antenna system (PASS) reconstructs wireless channels through pinching beamforming, i.e., optimizing the activated locations of pinching antennas (PAs) along the waveguide. The aim of this article is to investigate the joint design of baseband beamforming and pinching beamforming. A low-complexity element-wise sequential optimization framework is proposed to address the sum-rate maximization problem in PASS-enabled downlink and uplink channels. i) For the downlink scenario, maximum …

Insights gained from the Light Echo of Cepheus A HW2
Bringfried Stecklum, Verena Wolf
https://arxiv.org/abs/2506.16519 https://arxiv.…

Insights gained from the Light Echo of Cepheus A HW2
Cepheus A HW2 is a well-studied massive young stellar object (MYSO) featuring Class II methanol masers. Recently, certain maser components have been found to flare every five years. This period went undetected in (NEO)WISE photometry due to detector saturation. However, difference imaging revealed a light echo (LE), representing a variability record. Its periodicity is similar to that of the masers. Thereby, the mid-IR light curve since 2007 could be reconstructed. Phase and period maps provide…

This https://arxiv.org/abs/2506.05096 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers
Video diffusion transformers (vDiTs) have made impressive progress in text-to-video generation, but their high computational demands present major challenges for practical deployment. While existing acceleration methods reduce workload at various granularities, they often rely on heuristics, limiting their applicability. We introduce ASTRAEA, an automatic framework that searches for near-optimal configurations for vDiT-based video generation. At its core, ASTRAEA proposes a lightweight token …

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17580

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detailed answers, while general-purpose LLMs may offer concise responses that lack depth or omit current information. LLMs with search capabilities are also limited by context window, yielding short, incomplete answers. This paper introduces WISE (Workflow for Intelligent Scientific Knowledge Extraction), a system addressing…

Multigroup Multicast Design for Pinching-Antenna Systems: Waveguide-Division or Waveguide-Multiplexing?
Shan Shan, Chongjun Ouyang, Yong Li, Yuanwei Liu
https://arxiv.org/abs/2506.16184

Multigroup Multicast Design for Pinching-Antenna Systems: Waveguide-Division or Waveguide-Multiplexing?
This article addresses the design of multigroup multicast communications in the pinching-antenna system (PASS). A PASS-enabled multigroup transmission framework is proposed to maximize multicast rates under a couple of transmission architectures: waveguide-division (WD) and waveguide-multiplexing (WM). 1) For WD, an element-wise sequential optimization strategy is proposed for pinching beamforming, i.e., optimizing the activated positions of pinching antennas along dielectric waveguides. Meanwh…

Low-Complexity Receiver Design for Affine Filter Bank Modulation
Kuranage Roche Rayan Ranasinghe, Bruno S. Chang, Giuseppe Thadeu Freitas de Abreu
https://arxiv.org/abs/2506.17010

Low-Complexity Receiver Design for Affine Filter Bank Modulation
We propose a low-complexity receiver structure for the recently introduced Affine Filter Bank Modulation (AFBM) scheme, which is a novel waveform designed for integrated sensing and communications (ISAC) systems operating in doubly-dispersive (DD) channels. The proposed receiver structure is based on the Gaussian Belief Propagation (GaBP) framework, making use of only element-wise scalar operations to perform detection of the transmitted symbols. Simulation results demonstrate that AFBM in conj…