Tootfinder

2025 Week 1 NFL score predictions, odds, picks today: Expert reveals exact scores for every game

https://www.cbssports.com/nfl/news/2025-we

So the Top Score champion prize winner at the Perplexity LLM coding challenge scored a massive 7.5% correct answers. AGI is here now by gum! Hire that bot!
There's a million dollar prize for the first to score a droll B- on their benchmark exam.
#thesevenpointfivepercentsolution

Regularity of the score function in generative models
Arthur St\'ephanovitch
https://arxiv.org/abs/2506.19559 https://arxiv.org/p…

Regularity of the score function in generative models
We study the regularity of the score function in score-based generative models and show that it naturally adapts to the smoothness of the data distribution. Under minimal assumptions, we establish Lipschitz estimates that directly support convergence and stability analyses in both diffusion and ODE-based generative models. In addition, we derive higher-order regularity bounds, which simplify existing arguments for optimally approximating the score function using neural networks.

Undersmoothed LASSO Models for Propensity Score Weighting and Synthetic Negative Control Exposures for Bias Detection
Richard Wyss, Ben B. Hansen, Georg Hahn, Lars van der Laan, Joshua K. Lin
https://arxiv.org/abs/2506.17760

Undersmoothed LASSO Models for Propensity Score Weighting and Synthetic Negative Control Exposures for Bias Detection
The propensity score (PS) is often used to control for large numbers of covariates in high-dimensional healthcare database studies. The least absolute shrinkage and selection operator (LASSO) is a data-adaptive prediction algorithm that has become the most widely used tool for large-scale PS estimation in these settings. However, recent work has shown that the use of data-adaptive algorithms for PS estimation can come at the cost of slow convergence rates, resulting in PS-based causal estimator…

Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests
Masaki Uto, Yuma Ito
https://arxiv.org/abs/2506.20119

Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests
Evaluating the abilities of learners is a fundamental objective in the field of education. In particular, there is an increasing need to assess higher-order abilities such as expressive skills and logical thinking. Constructed-response tests such as short-answer and essay-based questions have become widely used as a method to meet this demand. Although these tests are effective, they require substantial manual grading, making them both labor-intensive and costly. Item response theory (IRT) prov…

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Fengshun Wang, Qiurui Wang, Peilin Zhao
https://arxiv.org/abs/2508.16291

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Technical Element Score (TES) and Program Component Score (PCS) evaluations in figure skating demand precise assessment of athletic actions and artistic interpretation, respectively. Existing methods face three major challenges. Firstly, video and audio cues are regarded as common features for both TES and PCS predictions in previous works without considering the prior evaluation criterion of figure skating. Secondly, action elements in competitions are separated in time, TES should be derived …

Jaydon Blue's TD run marks RB's first preseason score as a Cowboy https://www.nfl.com/videos/jaydon-blue-s-td-run-marks-rb-s-first-preseason-score-as-a-cowboy

TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
Christoph Minixhofer, Ondrej Klejch, Peter Bell
https://arxiv.org/abs/2506.19441

TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
Evaluation of Text to Speech (TTS) systems is challenging and resource-intensive. Subjective metrics such as Mean Opinion Score (MOS) are not easily comparable between works. Objective metrics are frequently used, but rarely validated against subjective ones. Both kinds of metrics are challenged by recent TTS systems capable of producing synthetic speech indistinguishable from real speech. In this work, we introduce Text to Speech Distribution Score 2 (TTSDS2), a more robust and improved versio…

Raiders vs. Cardinals live updates: Start time, TV channel for NFL preseason game https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/23/raiders-cardinals-live-updates-score/85801299007/

Germany escape into HT level with an ascendant Spain. Berger with some fine saves, now having prevented just under 1 goal (xG faced 0.96)
This game will not make it to penalties. If Spain score, it's over. If Germany score first, it's more of the same.
#GERESP #EURO2025

Found the specs sheet.
The front camera and ultrawide camera seem to be considerably worse.
The normal wide camera seems to be better, except it lost the electronic stabilisation (not sure how important that is tbh).
The battery is better, but it needs a screwdriver to be changed so no more switch during the day if you don’t have a screwdriver always on you. This comes with no added water resistance, which makes me wonder why they did this.
The display seems to be worse? The resolution is smaller which makes sense since the size is smaller, but also it seems to have less PPI than the Fairphone 5. The refresh rate is higher tho.
It has worse USB-C connectivity as well, the Fairphone 6 has just USB 2.0 (!!!!) compared to 3.0 on the Fairphone 5.
They also got rid of the sky blue color (which was the prettiest imo) and of the transparent option.
I don’t really understand Qualcomm processors, but at least the new GPU seems to have a better benchmark score?
#Fairphone #Fairphone5 #Fairphone6

Diffusion-Based Hypothesis Testing and Change-Point Detection
Sean Moushegian, Taposh Banerjee, Vahid Tarokh
https://arxiv.org/abs/2506.16089 https://

Diffusion-Based Hypothesis Testing and Change-Point Detection
Score-based methods have recently seen increasing popularity in modeling and generation. Methods have been constructed to perform hypothesis testing and change-point detection with score functions, but these methods are in general not as powerful as their likelihood-based peers. Recent works consider generalizing the score-based Fisher divergence into a diffusion-divergence by transforming score functions via multiplication with a matrix-valued function or a weight matrix. In this paper, we ext…

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
Zezhong Zhang, Caroline Tatsuoka, Dongbin Xiu, Guannan Zhang
https://arxiv.org/abs/2506.18227

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
We propose an efficient framework for amortized conditional inference by leveraging exact conditional score-guided diffusion models to train a non-reversible neural network as a conditional generative model. Traditional normalizing flow methods require reversible architectures, which can limit their expressiveness and efficiency. Although diffusion models offer greater flexibility, they often suffer from high computational costs during inference. To combine the strengths of both approaches, we …

I scored 9/21 on https://e-mail.wtf and all I got was this lousy text to share on social media.
Comment on the score:
"Yay! You're average! Time to start making plans for what you'll do when an LLM takes your job."

Email is Easy
Everyone knows what an email address is, right?

Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
Jun-Wei Zeng, Jerry Shen
https://arxiv.org/abs/2507.15862 https://

Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
This paper introduces the Comprehensive Applicant Profile Score (CAPS), a novel multi-modal framework designed to quantitatively model and interpret holistic college admissions evaluations. CAPS decomposes applicant profiles into three interpretable components: academic performance (Standardized Academic Score, SAS), essay quality (Essay Quality Index, EQI), and extracurricular engagement (Extracurricular Impact Score, EIS). Leveraging transformer-based semantic embeddings, LLM scoring, and XGB…

Was für ein Ballwechsel! - #Tischtennis
Als erster Europäer gewinnt der schwedische Tischtennisspieler Truls Möregardh ein Grand-Smash-Turnier.

Bastien Fachan (@BastienFachan) on X
This is insane: Truls Moregard won the Europe Smash (equivalent of a Grand Slam in tennis) on this MONSTER rally... ...score at three sets all, 10-9 in the deciding set 🤯

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Antony Dalmiere (LAAS), Zheng Zhou (LAAS), Guillaume Auriol (LAAS-TRUST, INSA Toulouse), Vincent Nicomette (LAAS-TSF, LAAS-TRUST), Pascal Marchand (LERASS, IUT Paul Sabatier)
https://arxiv.org/abs/2506.20228…

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores remain limited. This paper addresses this gap by empirically investigating the prevalence, co-occurrence patterns, and spam score associations of body obfuscation techniques. Analysing 386 verified phishing emails, we quantified ten techniques, identified significant pairwise co-occurrences revealing strategic layering l…

Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
Tainyi Zhang, Zheng-Peng Duan, Peng-Tao Jiang, Bo Li, Ming-Ming Cheng, Chun-Le Guo, Chongyi Li
https://arxiv.org/abs/2508.16557

Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
Diffusion-based real-world image super-resolution (Real-ISR) methods have demonstrated impressive performance. To achieve efficient Real-ISR, many works employ Variational Score Distillation (VSD) to distill pre-trained stable-diffusion (SD) model for one-step SR with a fixed timestep. However, due to the different noise injection timesteps, the SD will perform different generative priors. Therefore, a fixed timestep is difficult for these methods to fully leverage the generative priors in SD, …

An Analytical Neighborhood Enrichment Score for Spatial Omics
Axel Andersson, Hanna Nystr\"om
https://arxiv.org/abs/2506.18692 https://

An Analytical Neighborhood Enrichment Score for Spatial Omics
The neighborhood enrichment test is used to quantify spatial enrichment and depletion between spatial points with categorical labels, which is a common data type in spatial omics. Traditionally, this test relies on a permutation-based Monte Carlo approach, which tends to be computationally expensive for large datasets. In this study, we present a modified version of the test that can be computed analytically. This analytical version showed a minimum Pearson correlation of 0.95 with the conventi…

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
https://arxiv.org/abs/2506.18307

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Speech quality assessment (SQA) aims to evaluate the quality of speech samples without relying on time-consuming listener questionnaires. Recent efforts have focused on training neural-based SQA models to predict the mean opinion score (MOS) of speech samples produced by text-to-speech or voice conversion systems. This paper targets the enhancement of MOS prediction models' performance. We propose a novel score aggregation method to address the limitations of conventional annotations for MOS, w…

Eatman: Plenty to like – aside from the final score https://www.dallascowboys.com/news/eatman-plenty-to-like-aside-from-the-final-score

The magat review-bombing of Superman isn't working.
https://www.forbes.com/sites/paultassi/2025/07/10/superman-just-set-a-rotten-tomatoes-audience-score-record/

🇺🇦 #NowPlaying on BBCRadio3's #SoundOfCinema
Rolfe Robin Kent:
🎵 Freaky Friday "Fortune Cookie? - Score Version"
#RolfeRobinKent

This ENG-IND #cricket test is going to turn into a test of Gill's captaincy: India won't score enough runs in the 3rd inning, and the question will be, does Gill overuse the fragile Bumrah or accept defeat in return for Bumrah being available for the whole series.

Atomistic Generative Diffusion for Materials Modeling
Nikolaj R{\o}nne, Bj{\o}rk Hammer
https://arxiv.org/abs/2507.18314 https://arxiv.org/pdf/2507.18314…

Atomistic Generative Diffusion for Materials Modeling
We present a generative modeling framework for atomistic systems that combines score-based diffusion for atomic positions with a novel continuous-time discrete diffusion process for atomic types. This approach enables flexible and physically grounded generation of atomic structures across chemical and structural domains. Applied to metallic clusters and two-dimensional materials using the QCD and C2DB datasets, our models achieve strong performance in fidelity and diversity, evaluated using pre…

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
https://arxiv.org/abs/2507.18392 https://

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
The evaluation of Large Language Models (LLMs) increasingly relies on other LLMs acting as judges. However, current evaluation paradigms typically yield a single score or ranking, answering which model is better but not why. While essential for benchmarking, these top-level scores obscure the specific, actionable reasons behind a model's performance. To bridge this gap, we introduce CLEAR, an interactive, open-source package for LLM-based error analysis. CLEAR first generates per-instance textu…

Computer Vision for Real-Time Monkeypox Diagnosis on Embedded Systems
Jacob M. Delgado-L\'opez, Ricardo A. Morell-Rodriguez, Sebasti\'an O. Espinosa-Del Rosario, Wilfredo E. Lugo-Beauchamp
https://arxiv.org/abs/2507.17123

Computer Vision for Real-Time Monkeypox Diagnosis on Embedded Systems
The rapid diagnosis of infectious diseases, such as monkeypox, is crucial for effective containment and treatment, particularly in resource-constrained environments. This study presents an AI-driven diagnostic tool developed for deployment on the NVIDIA Jetson Orin Nano, leveraging the pre-trained MobileNetV2 architecture for binary classification. The model was trained on the open-source Monkeypox Skin Lesion Dataset, achieving a 93.07% F1-Score, which reflects a well-balanced performance in p…

Eatman: Plenty to like – aside from the final score https://www.dallascowboys.com/news/eatman-plenty-to-like-aside-from-the-final-score

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
https://arxiv.org/abs/2506.19031

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
While diffusion models generate high-quality images via probability flow, the theoretical understanding of this process remains incomplete. A key question is when probability flow converges to training samples or more general points on the data manifold. We analyze this by studying the probability flow of shallow ReLU neural network denoisers trained with minimal $\ell^2$ norm. For intuition, we introduce a simpler score flow and show that for orthogonal datasets, both flows follow similar traj…

Juicy or Dry? A Comparative Study of User Engagement and Information Retention in Interactive Infographics
Bruno Campos
https://arxiv.org/abs/2506.17011 ht…

Juicy or Dry? A Comparative Study of User Engagement and Information Retention in Interactive Infographics
This study compares the impact of "juiciness" on user engagement and short-term information retention in interactive infographics. Juicy designs generally showed a slight advantage in overall user engagement scores compared to dry designs. Specifically, the juicy version of the Burcalories infographic had the highest engagement score. However, the differences in engagement were often small. Regarding information retention, the results were mixed. The juicy versions of The Daily Routines of Famo…

Saturdays are for Cosmo's and SVU, apparently. This is the furthest I've ever gotten in Cosmo's and now I'm a little stuck, gotta look up a walkthrough 😂
#CosmosCosmicAdventure #Steam #SteamGames

"The credit score drop is [as bad as] filing for bankruptcy, and some borrowers are finding out when they try to get car loans or rent apartments."
Student loan missed payments causes credit score drop for millions - The Washington Post
https://www.washingtonpost.com/business/2025/05/25/credit-score-student-loan-elinquency-debt/

Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
Philipp Alexander Schwarz, Oliver Schacht, Sven Klaassen, Johannes Oberpriller, Martin Spindler
https://arxiv.org/abs/2508.15692

Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
The RDD (regression discontinuity design) is a widely used framework for identification and estimation of causal effects at a cutoff of a single running variable. Practical settings, in particular those encountered in production systems, often involve decision-making defined by multiple thresholds and criteria. Common MRD (multi-score RDD) approaches transform these to a one-dimensional design, to employ identification and estimation results. However, this practice can introduce non-compliant b…

Maar een kwart 😃 , prima score
#politiek

Kwart kiezers is vertrouwen kwijt in alle politieke partijen: 'Neem ze niet meer serieus'
Een kwart van de kiezers is het vertrouwen in alle politieke partijen kwijt. Dat blijkt uit onderzoek van het RTL Nieuwspanel. Het gevoel leeft zeer sterk bij kiezers die bij de laatste Tweede Kamerverkiezingen in 2023 nog op Nieuw Sociaal Contract stemden (32 procent), maar ook bij mensen die toen voor de BBB (28 procent) of PVV (26 procent) kozen.

Woah, amazing! Valve is changing reviews so bombs in one region don't tank it everywhere.
> When there are enough reviews written in a particular language, Steam will calculate a review score for that language. The Review Score displayed to users will be based on their primary language. What this means is that some languages may show more positive review scores, while others may show more negative ones, for the same game.

Steam News - Updates to User Review Scores Based on Language - Steam News
The review score for some games is now language-specific

This is probably the weirdest #piano only song I have ever composed: weirdest mystery.
The #score is here: https://musescore.co…

Spain really looking like they could score before the half. Hit the woodwork and have chaos in the box Esther looks more likely than not to bag a poacher's goal.
Can Germany get to HT level? They've been excellent for 43'.
#GERESP #EURO2025

Die internationale Bewertungsagentur CRIF hat vermutlich deinen Namen, Anschrift und Geburtsdatum und berechnet damit einen "Score". Banken, Mobilfunker und andere rufen diesen Score ab und entscheiden so, ob du "kreditwürdig" bist.
@noybeu möchte nun Licht ins Dunkel bringen und eine Sammelklage einreichen für jene wo der Score so gar nicht stimmt. Ich habe mitgemacht - hilf auch du auf

CRIF Scoring - Auskunft und Recherche
Die Kreditauskunftei CRIF hat vermutlich deinen Namen, Anschrift und Geburtsdatum und berechnet damit einen "Score". Banken, Mobilfunker und andere rufen diesen Score ab. noyb möchte nun Licht ins Dunkel bringen. Ich habe mitgemacht - hilf auch du:

Spouse always wins
Words With Friends gets it.

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
Rian Touchent, Nathan Godey, Eric de la Clergerie
https://arxiv.org/abs/2506.20331

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
We introduce Biomed-Enriched, a biomedical text dataset constructed from PubMed via a two-stage annotation process. In the first stage, a large language model annotates 400K paragraphs from PubMed scientific articles, assigning scores for their type (review, study, clinical case, other), domain (clinical, biomedical, other), and educational quality. The educational quality score (rated 1 to 5) estimates how useful a paragraph is for college-level learning. These annotations are then used to fin…

Fokker-Planck Score Learning: Efficient Free-Energy Estimation under Periodic Boundary Conditions
Daniel Nagel, Tristan Bereau
https://arxiv.org/abs/2506.15653

Fokker-Planck Score Learning: Efficient Free-Energy Estimation under Periodic Boundary Conditions
Accurate free-energy estimation is essential in molecular simulation, yet the periodic boundary conditions (PBC) commonly used in computer simulations have rarely been explicitly exploited. Equilibrium methods such as umbrella sampling, metadynamics, and adaptive biasing force require extensive sampling, while non-equilibrium pulling with Jarzynski's equality suffers from poor convergence due to exponential averaging. Here, we introduce a physics-informed, score-based diffusion framework: by ma…

Kelsey Quinn's high-points snag results in a score https://www.nfl.com/videos/kelsey-quinn-s-high-points-snag-results-in-a-score

Fun educational psychology experiment idea if anyone wants to run it by an IRB and get a paper published:
Get an entire compsci 1 class to take the RAADS-R. Then measure how easily/quickly they understood call/return stack semantics when the concept was first introduced (based on quiz/homework score, self reported "this makes sense" level, or something else).
And scatter plot the two against each other. Do you get two neat clusters?

#Wordle 1,493 6/6*
⬜⬜⬜⬜⬜ <1% of 216,876 (969)
⬜⬜⬜⬜⬜ 1% of 77 (110)
⬜🟨⬜🟨⬜ 0 of 2 (10)
⬜🟩⬜⬜🟨 0 of 0 (3)
⬜🟩⬜🟨🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 86/99
Luck 15/99
after guess 4, I'd eliminated 16 letters and knew 2 of the remaining 10 were in the word. I thought of 2 words that fit, 1st didn't work as 5th guess, 2nd was the answer as 6th guess.
Wow, that's a pretty low luck score for 6 guesses, I see the luck of the 6 guesses was 15, 6, 4, 16, 33, -
I'm quite happy with the progression of my guesses today, not sure what the bot will think...
Well I missed a word, but my 5th guess did eliminate it.

Fisher Score Matching for Simulation-Based Forecasting and Inference
Ce Sui, Shivam Pandey, Benjamin D. Wandelt
https://arxiv.org/abs/2507.07833 https://…

Fisher Score Matching for Simulation-Based Forecasting and Inference
We propose a method for estimating the Fisher score--the gradient of the log-likelihood with respect to model parameters--using score matching. By introducing a latent parameter model, we show that the Fisher score can be learned by training a neural network to predict latent scores via a mean squared error loss. We validate our approach on a toy linear Gaussian model and a cosmological example using a differentiable simulator. In both cases, the learned scores closely match ground truth for pl…

Sampling by averaging: A multiscale approach to score estimation
Paula Cordero-Encinar, Andrew B. Duncan, Sebastian Reich, O. Deniz Akyildiz
https://arxiv.org/abs/2508.15069 htt…

Sampling by averaging: A multiscale approach to score estimation
We introduce a novel framework for efficient sampling from complex, unnormalised target distributions by exploiting multiscale dynamics. Traditional score-based sampling methods either rely on learned approximations of the score function or involve computationally expensive nested Markov chain Monte Carlo (MCMC) loops. In contrast, the proposed approach leverages stochastic averaging within a slow-fast system of stochastic differential equations (SDEs) to estimate intermediate scores along a di…

Selecting N-lowest scores for training MOS prediction models
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
https://arxiv.org/abs/2506.18326 htt…

Selecting N-lowest scores for training MOS prediction models
The automatic speech quality assessment (SQA) has been extensively studied to predict the speech quality without time-consuming questionnaires. Recently, neural-based SQA models have been actively developed for speech samples produced by text-to-speech or voice conversion, with a primary focus on training mean opinion score (MOS) prediction models. The quality of each speech sample may not be consistent across the entire duration, and it remains unclear which segments of the speech receive the …

@… Not that impressive when considering that I spent the past 15 years working on an email client. I'm a bit sad I didn't score 21/21 😄

It's not a FAD: first results in using Flows for unsupervised Anomaly Detection at 40 MHz at the Large Hadron Collider
Francesco Vaselli, Maurizio Pierini, Maciej Mikolaj Glowacki, Thea Aarrestad, Katya Govorkova, Vladimir Loncar, Dimitrios Danopoulos, Felice Pantaleo
https://arxiv.org/abs/2508.11594

It's not a FAD: first results in using Flows for unsupervised Anomaly Detection at 40 MHz at the Large Hadron Collider
We present the first implementation of a Continuous Normalizing Flow (CNF) model for unsupervised anomaly detection within the realistic, high-rate environment of the Large Hadron Collider's L1 trigger systems. While CNFs typically define an anomaly score via a probabilistic likelihood, calculating this score requires solving an Ordinary Differential Equation, a procedure too complex for FPGA deployment. To overcome this, we propose a novel, hardware-friendly anomaly score defined as the square…

Assessing Medical Training Skills via Eye and Head Movements
Kayhan Latifzadeh, Luis A. Leiva, Klen \v{C}opi\v{c} Pucihar, Matja\v{z} Kljun, Iztok Devetak, Lili Steblovnik
https://arxiv.org/abs/2507.16819

Assessing Medical Training Skills via Eye and Head Movements
We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessions. We calculated key metrics, including pupillary response rate, fixation duration, or angular velocity. Our findings indicate that eye and head tracking can effectively differentiate between trained and untrained practitioners, particularly during labor tasks. For example, head-related features achieved an F1 score …

Zahra Hill's effort results in her second score for the Texans https://www.nfl.com/videos/zahra-hill-s-effort-results-in-her-second-score-for-the-texans

Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models
Gregory Bellchambers
https://arxiv.org/abs/2506.13614 https://…

Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models
The success of diffusion models has driven interest in performing conditional sampling via training-free guidance of the denoising process to solve image restoration and other inverse problems. A popular class of methods, based on Diffusion Posterior Sampling (DPS), attempts to approximate the intractable posterior score function directly. In this work, we present a novel expression for the exact posterior score for purely denoising tasks that is tractable in terms of the unconditional score fu…

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensembles
Ameya Daigavane, Bodhi P. Vani, Darcy Davidson, Saeed Saremi, Joshua Rackers, Joseph Kleinhenz

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Xuming He, Zhiyuan You, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang, Lei Bai
https://arxiv.org/abs/2508.12291

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Quality analysis of weather forecasts is an essential topic in meteorology. Although traditional score-based evaluation metrics can quantify certain forecast errors, they are still far from meteorological experts in terms of descriptive capability, interpretability, and understanding of dynamic evolution. With the rapid development of Multi-modal Large Language Models (MLLMs), these models become potential tools to overcome the above challenges. In this work, we introduce an MLLM-based weather …

Perfect diffusion is $\mathsf{TC}^0$ -- Bad diffusion is Turing-complete
Yuxi Liu
https://arxiv.org/abs/2507.12469 https://arxiv.org/…

Perfect diffusion is $\mathsf{TC}^0$ -- Bad diffusion is Turing-complete
This paper explores the computational complexity of diffusion-based language modeling. We prove a dichotomy based on the quality of the score-matching network in a diffusion model. In one direction, a network that exactly computes the score function of some initial distribution can only perform language modeling within the $\mathsf{TC}^0$ complexity class, reflecting limitations tied to rapid convergence. In the other direction, we show that if there is no requirement for the network to match a…

🇺🇦 #NowPlaying on #BBC6Music's #StuartMaconiesFreakZone
Basil Kirchin:
🎵 I Start Counting (demo)
#BasilKirchin
https://basilkirchin.bandcamp.com/album/i-start-counting-original-score
https://open.spotify.com/track/6ARupLaRYR2oRShb1RsFLf

Yet another short and minimalist dark (evil?) #piano song I have composed today: The Evil Under The Rain.
The #score is here: https://

Sex-Specific Vascular Score: A Novel Perfusion Biomarker from Supervoxel Analysis of 3D pCASL MRI
Sneha Noble, Neelam Sinha, Vaanathi Sundareshan, Thomas Gregor Issac
https://arxiv.org/abs/2508.13173

Sex-Specific Vascular Score: A Novel Perfusion Biomarker from Supervoxel Analysis of 3D pCASL MRI
We propose a novel framework that leverages 3D pseudo-continuous arterial spin labeling (3D pCASL) MRI to compute sex-specific vascular scores that quantify cerebrovascular health and potential disease susceptibility. The brain is parcellated into spatially contiguous regions of homogeneous perfusion using supervoxel clustering, capturing both microvascular and macrovascular contributions. Mean cerebral blood flow (CBF) values are extracted from 186 cognitively healthy participants and used to …

🔊 #NowPlaying on #BBCRadio3:
#MusicMatters
- Knowing the Score
With the help of rugby coach Clive Woodward and conductor Edward Gardner, sports journalist Eleanor Oldroyd explores the connections between classical music and sport.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002djlp

What should worry England is that, while "better"*** for most of the game, their starters cannot score. Their subs, Kelly and Agyemang carried them. Again.
And with another PK opportunity (on a sooooooofffftttt foul), they failed to convert again, initially anyway.
I assume they'll meet Spain in the final and that could be rough if they don't get right in a hurry.
*** "better" is tough to gauge when one team scores and bunkers, but...

Estimating quantile treatments without strict overlap
Marco Avella-Medina, Richard Davis, Gennady Samorodnitsky
https://arxiv.org/abs/2506.18215 https://…

Estimating quantile treatments without strict overlap
We consider the problem of estimating quantile treatment effects without assuming strict overlap , i.e., we do not assume that the propensity score is bounded away from zero. More specifically, we consider an inverse probability weighting (IPW) approach for estimating quantiles in the potential outcomes framework and pay special attention to scenarios where the propensity scores can tend to zero as a regularly varying function. Our approach effectively considers a heavy-tailed objective functio…

Calls for Trump's New Jersey Golf Resort to be Shuttered After Contaminated Meat, Lack of Soap Leads to Lowest Health Score In the County But Club Claims Inspection Was 'Politicially Motivated'
https://atlantablackstar.com/2025/06/10/calls-for-trumps-new-jersey-golf-resort-to-be-shuttered-after-contaminated-meat-lack-of-soap-leads-to-lowest-health-score-in-the-county-but-club-claims-inspection-was-politicially-motivated/

DINOv3 with Test-Time Training for Medical Image Registration
Shansong Wang, Mojtaba Safari, Mingzhe Hu, Qiang Li, Chih-Wei Chang, Richard LJ Qiu, Xiaofeng Yang
https://arxiv.org/abs/2508.14809

DINOv3 with Test-Time Training for Medical Image Registration
Prior medical image registration approaches, particularly learning-based methods, often require large amounts of training data, which constrains clinical adoption. To overcome this limitation, we propose a training-free pipeline that relies on a frozen DINOv3 encoder and test-time optimization of the deformation field in feature space. Across two representative benchmarks, the method is accurate and yields regular deformations. On Abdomen MR-CT, it attained the best mean Dice score (DSC) of 0.7…

Raiders vs. Seahawks live updates: NFL preseason game score, highlights https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/07/raiders-seahawks-live-updates-score/85568972007/

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/4]:
- Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design ...
Philipp Alexander Schwarz, Oliver Schacht, Sven Klaassen, Johannes Oberpriller, Martin Spindler

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
Ziyan Kuang, Feiyu Zhu, Maowei Jiang, Yanzhao Lai, Zelin Wang, Zhitong Wang, Meikang Qiu, Jiajia Huang, Min Peng, Qianqian Xie, Sophia Ananiadou
https://arxiv.org/abs/2508.13491

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
Large Language Models (LLMs) have shown promise for financial applications, yet their suitability for this high-stakes domain remains largely unproven due to inadequacies in existing benchmarks. Existing benchmarks solely rely on score-level evaluation, summarizing performance with a single score that obscures the nuanced understanding of what models truly know and their precise limitations. They also rely on datasets that cover only a narrow subset of financial concepts, while overlooking othe…

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection
Sungkyun Chang, Simon Dixon, Emmanouil Benetos
https://arxiv.org/abs/2507.12175

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection
This study introduces RUMAA, a transformer-based framework for music performance analysis that unifies score-to-performance alignment, score-informed transcription, and mistake detection in a near end-to-end manner. Unlike prior methods addressing these tasks separately, RUMAA integrates them using pre-trained score and audio encoders and a novel tri-stream decoder capturing task interdependencies through proxy tasks. It aligns human-readable MusicXML scores with repeat symbols to full-length p…

A short #piano song I have just composed while watching a storm from my window, thinking about those poor humans out there waiting for the war to end.
The #score is here:

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
Shengbo Wang, Mingwei Liu, Zike Li, Anji Li, Yanlin Wang, Xin Peng, Zibin Zheng
https://arxiv.org/abs/2508.13003

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
The rapid advancement of LLMs poses a significant challenge to existing mathematical reasoning benchmarks. These benchmarks commonly suffer from issues such as score saturation, temporal decay, and data contamination. To address this challenge, this paper introduces EvolMathEval, an automated mathematical benchmark generation and evolution framework based on evolutionary testing. By dynamically generating unique evaluation instances ab initio, the framework fundamentally eliminates the risk of …

Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Joonas J\"arve, Karl Kaspar Haavel, Meelis Kull
https://arxiv.org/abs/2508.15737 https://…

Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Despite rapid advances in AI, safety remains the main bottleneck to deploying machine-learning systems. A critical safety component is out-of-distribution detection: given an input, decide whether it comes from the same distribution as the training data. In generative models, the most natural OOD score is the data likelihood. Actually, under the assumption of uniformly distributed OOD data, the likelihood is even the optimal OOD detector, as we show in this work. However, earlier work reported …

A Weighted Likelihood Approach Based on Statistical Data Depths
Claudio Agostinelli, Ayanendranath Basu, Giulia Bertagnolli, Arun Kumar Kuchibhotla
https://arxiv.org/abs/2507.16998

A Weighted Likelihood Approach Based on Statistical Data Depths
We propose a general approach to construct weighted likelihood estimating equations with the aim of obtaining robust parameter estimates. We modify the standard likelihood equations by incorporating a weight that reflects the statistical depth of each data point relative to the model, as opposed to the sample. An observation is considered regular when the corresponding difference of these two depths is close to zero. When this difference is large the observation score contribution is downweight…

A Malliavin calculus approach to score functions in diffusion generative models
Ehsan Mirafzali, Frank Proske, Utkarsh Gupta, Daniele Venturi, Razvan Marinescu
https://arxiv.org/abs/2507.05550

A Malliavin calculus approach to score functions in diffusion generative models
Score-based diffusion generative models have recently emerged as a powerful tool for modelling complex data distributions. These models aim at learning the score function, which defines a map from a known probability distribution to the target data distribution via deterministic or stochastic differential equations (SDEs). The score function is typically estimated from data using a variety of approximation techniques, such as denoising or sliced score matching, Hyvärien's method, or Schröding…

Cowboys' most important play from Friday's win over Falcons gained just 13 yards https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/23/jaydon-blue-most-underr…

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
Zian Zhuang, Wen Su, Eric Kawaguchi, Gang Li
https://arxiv.org/abs/2507.15040

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
Evaluating and validating the performance of prediction models is a fundamental task in statistics, machine learning, and their diverse applications. However, developing robust performance metrics for competing risks time-to-event data poses unique challenges. We first highlight how certain conventional predictive performance metrics, such as the C-index, Brier score, and time-dependent AUC, can yield undesirable results when comparing predictive performance between different prediction models.…

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
Luca Mariotti, Veronica Guidetti, Federica Mandreoli
https://arxiv.org/abs/2507.06895

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
The growing demand for efficient knowledge graph (KG) enrichment leveraging external corpora has intensified interest in relation extraction (RE), particularly under low-supervision settings. To address the need for adaptable and noise-resilient RE solutions that integrate seamlessly with pre-trained large language models (PLMs), we introduce SCoRE, a modular and cost-effective sentence-level RE system. SCoRE enables easy PLM switching, requires no finetuning, and adapts smoothly to diverse cor…

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

ViT-FIQA: Assessing Face Image Quality using Vision Transformers
Andrea Atzori, Fadi Boutros, Naser Damer
https://arxiv.org/abs/2508.13957 https://arxiv.or…

ViT-FIQA: Assessing Face Image Quality using Vision Transformers
Face Image Quality Assessment (FIQA) aims to predict the utility of a face image for face recognition (FR) systems. State-of-the-art FIQA methods mainly rely on convolutional neural networks (CNNs), leaving the potential of Vision Transformer (ViT) architectures underexplored. This work proposes ViT-FIQA, a novel approach that extends standard ViT backbones, originally optimized for FR, through a learnable quality token designed to predict a scalar utility score for any given face image. The le…

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
Jiaqi Wu, Jiahong Ouyang, Farshad Moradi, Mohammad Mehdi Khalighi, Greg Zaharchuk
https://arxiv.org/abs/2506.11297

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
Fluorodeoxyglucose (FDG) PET to evaluate patients with epilepsy is one of the most common applications for simultaneous PET/MRI, given the need to image both brain structure and metabolism, but is suboptimal due to the radiation dose in this young population. Little work has been done synthesizing diagnostic quality PET images from MRI data or MRI data with ultralow-dose PET using advanced generative AI methods, such as diffusion models, with attention to clinical evaluations tailored for the e…

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
https://arxiv.org/abs/2506.09681

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds
Generative modeling aims to produce new random examples from an unknown target distribution, given access to a finite collection of examples. Among the leading approaches, denoising diffusion probabilistic models (DDPMs) construct such examples by mapping a Brownian motion via a diffusion process driven by an estimated score function. In this work, we first provide empirical evidence that DDPMs are robust to constant-variance noise in the score evaluations. We then establish finite-sample guara…

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
Zachary Esses Johnson
https://arxiv.org/abs/2508.15611 https://arx…

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
Factor score estimation in small sample sizes often encounters parameter bias and convergence failures when constructing hierarchical national/sub-national indices. This paper proposes a novel method for hierarchical factor analysis called "sequential Confirmatory Factor Analysis". Instead of estimating multiple levels of factors at the same time, this approach calculates factor scores sequentially from the lowest to highest levels. This sequential estimation keeps the original sample size in e…

CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
Jianfei Li, Kevin Kam Fung Yuen
https://arxiv.org/abs/2507.14022

CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
This study proposes the Cognitive Pairwise Comparison Classification Model Selection (CPC-CMS) framework for document-level sentiment analysis. The CPC, based on expert knowledge judgment, is used to calculate the weights of evaluation criteria, including accuracy, precision, recall, F1-score, specificity, Matthews Correlation Coefficient (MCC), Cohen's Kappa (Kappa), and efficiency. Naive Bayes, Linear Support Vector Classification (LSVC), Random Forest, Logistic Regression, Extreme Gradient B…

Milton impressive in preseason finale https://www.arkansasonline.com/news/2025/aug/23/milton-impressive-in-preseason-finale/

A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
Ezequiel Smucler, Ludovico Lanni, David Masip
https://arxiv.org/abs/2506.10449

A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
We study the properties of the score confidence set for the local average treatment effect in non and semiparametric instrumental variable models. This confidence set is constructed by inverting a score test based on an estimate of the nonparametric influence function for the estimand, and is known to be uniformly valid in models that allow for arbitrarily weak instruments; because of this, the confidence set can have infinite diameter at some laws. We characterize the six possible forms the sc…

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

Joe Milton accounts for 2 TDs as Cowboys beat Falcons 31-13 in preseason finale https://www.foxsports.com/articles/nfl/joe-milton-accounts-for-2-tds-as-cowboys-beat-falcons-3113-in-preseason-finale

Universal Preference-Score-based Pairwise Speech Quality Assessment
Yu-Fei Shi, Yang Ai, Zhen-Hua Ling
https://arxiv.org/abs/2506.01455 https://

Universal Preference-Score-based Pairwise Speech Quality Assessment
To compare the performance of two speech generation sys- tems, one of the most effective approaches is estimating the preference score between their generated speech. This pa- per proposes a novel universal preference-score-based pairwise speech quality assessment (UPPSQA) model, aimed at predict- ing the preference score between paired speech samples to de- termine which one has better quality. The model first predicts the absolute mean opinion score (MOS) for the two speech sam- ples separate…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/7]:
- A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
Mohamed elShehaby, Ashraf Matrawy

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
Maria Paz Oliva, Adriana Correia, Ivan Vankov, Viktor Botev
https://arxiv.org/abs/2508.13816

The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
Evaluating Natural Language Generation (NLG) is crucial for the practical adoption of AI, but has been a longstanding research challenge. While human evaluation is considered the de-facto standard, it is expensive and lacks scalability. Practical applications have driven the development of various automatic evaluation metrics (AEM), designed to compare the model output with human-written references, generating a score which approximates human judgment. Over time, AEMs have evolved from simple l…

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer
Go Nishikawa, Wataru Nakata, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, Tomohiko Nakamura
https://arxiv.org/abs/2507.14647

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer
We introduce our submission to the AudioMOS Challenge (AMC) 2025 Track 3: mean opinion score (MOS) prediction for speech with multiple sampling frequencies (SFs). Our submitted model integrates an SF-independent (SFI) convolutional layer into a self-supervised learning (SSL) model to achieve SFI speech feature extraction for MOS prediction. We present some strategies to improve the MOS prediction performance of our model: distilling knowledge from a pretrained non-SFI-SSL model and pretraining …

epinions: Epinions product ratings (2005)
A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.
This network has 876252 nodes and 13668320 edges.
Tags: Economic, Preferences, Timestamps, Weighted

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

Cowboys Pro Bowler Aiming for Rebound After Struggling in 2024 https://heavy.com/sports/nfl/dallas-cowboys/pro-bowler-rebound-after-struggling-in-2024/?adt_ei=[email]

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …