Tootfinder

from my link log —
Mailchimp's Mandrill outage due to PostgreSQL XID wraparound.
https://mailchimp.com/what-we-learned-from-the-recent-mandrill-outage/
saved 2019-04-01

What We Learned from the Recent Mandrill Outage | Mailchimp
Following a recent outage, we committed to sharing what we learned with our customers. The outage began at 05:35 UTC on February 4, and we resolved the issue...

Cowboys-Eagles in 2025 NFL Kickoff Game: What We Learned from Philadelphia's 24-20 win https://www.nfl.com/news/cowboys-eagles-in-2025-nfl-kickoff-game-what-we-learned-from-philadelphia-s-24-20-win

https://www.compactmag.com/article/what-bap-learned-from-feminism/
I have no idea why so many people equate matriarchy with equality when they clearly contradict each other.

Cardinals-Cowboys on 'Monday Night Football': What We Learned from Arizona's 27-17 win https://www.nfl.com/news/cardinals-cowboys-on-monday-night-football-what-we-learned-from-arizona-s-27-17-win

Wow, just learned that NDC Conference deleted the recording of my 2014 opening keynote, A Happy Grain of Sand.
They didn’t have downloads enabled on their Vimeo site and they just told me they don’t keep backups of the talks.
What a dick move.
If you’re speaking for them, make sure you back up your talk videos.
Asshats.
#NDC

I learned about PsychoPy which is an open-source package for running experiments in Python (a real and free alternative to Matlab).
Anyone using it?
#python

Just learned I should be drinking 150oz of water a day. I might need a diaper.

I’ve learned to effectively not see most of the ads that appear on web pages and videos that I look at. I really don’t see them somehow. I’ve been doing it since ads first appeared on the web, lo these many years ago. But I wonder occasionally if I might be missing something that’s not an ad that I probably should be seeing, or might want to see. Oh, well. There’s always trade-offs, I guess.

What We Learned from Raiders' Loss to Jaguars https://www.si.com/nfl/raiders/onsi/liam-coen-jacksonville-jaguars-brock-bowers

This a great book! Teri's a great author! This is a great price!
If someone tries to charge you more for it, don't go there.
#Bookstodon #Humanity #GreatWriting

A great quote from the book Autocracy Inc from Ann Applebaum, a recommended read. A good description of the atmosphere the Trump administration tries to create.
#trump #autocracy #applebaum

How Democrats learned to stop worrying and shut it all down (Andrew Solender/Axios)
https://www.axios.com/2025/10/03/government-shutdown-democrats-congres
http://www.memeorandum.com/251003/p97#a251003p97

I learned this sad news with a huge delay because WKIT 404s today for some reason 😑 (WKIT was bought at the last minute by Jeff Solari and Greg Hawes, but up until now I didn't know this, as I tune in only occasionally.) ->
Stephen King’s radio stations to sign off for good at month’s end (Published: Dec. 2, 2024 at 5:01 PM EET)

Stephen King’s radio stations to sign off for good at month’s end
Stephen King’s radio stations are signing off for good at the end of the month.

Lessons Learned from Studying H$\alpha$ Galaxy Kinematics with Mock JWST/NIRSpec IFU Observations at $z > 6$
Si\^an Phillips, Francesca Rizzo, Mahsa Kohandel, Renske Smit, Andrea Pallottini
https://arxiv.org/abs/2510.01327

Lessons Learned from Studying H$α$ Galaxy Kinematics with Mock JWST/NIRSpec IFU Observations at $z > 6$
Galaxies with a disk morphology have been established at $z > 9$ with the James Webb Space Telescope (JWST). However, confirming their disky nature requires studying their gas kinematics, which can be challenging when relying solely on the warm gas observed by JWST. Unlike the cold gas traced by the Atacama Large Millimetre/Submillimetre Array (ALMA), warm gas is sensitive to outflows, complicating the interpretation of the disk dynamics. This elicits the question of how to compare information …

We used to write a blog post at the end of every semester celebrating our interns. It was lovely to appreciate their work and find nice things to say about them. But when we shifted to letting THEM talk about their work and their experience, the post became much more powerful. Here they are, writing about what they got out of their internships and the different things they learned. ❤️

Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
Thong Nguyen, Yibin Lei, Jia-Huei Ju, Eugene Yang, Andrew Yates
https://arxiv.org/abs/2510.00671 ht…

Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
Learned Sparse Retrieval (LSR) combines the efficiency of bi-encoders with the transparency of lexical matching, but existing approaches struggle to scale beyond English. We introduce MILCO, an LSR architecture that maps queries and documents from different languages into a shared English lexical space via a multilingual connector. MILCO is trained with a specialized two-stage regime that combines Sparse Alignment Pretraining with contrastive training to provide representation transparency and …

Series B, Episode 11 - Gambit
JARRIERE: Then, ma'am, we are likely to get the corpse.
SERVALAN: Yes.
JARRIERE: After Krantor has learned the answer to that question.
SERVALAN: Exactly.
[Outside the bars, Blake, Cally and Jenna are walking.]
https://blake.torpidity.net/m/211/159

Lessons Learned So Far From Verifying the Rust Standard Library (work-in-progress)
Alex Le Blanc, Patrick Lam
https://arxiv.org/abs/2510.01072 https://arxi…

Lessons Learned So Far From Verifying the Rust Standard Library (work-in-progress)
Although Rust primarily intends to be a safe programming language that excludes undefined behaviour, it provides its users with the escape hatch of unsafe Rust, allowing them to circumvent some of its strong compile-time checks. This additional freedom has some advantages, including potentially more efficient code, which is one of the main reasons why unsafe code is used extensively throughout Rust's standard library. However, because unsafe code also re-opens the door to undefined behaviour, A…

Discrete Facial Encoding: : A Framework for Data-driven Facial Display Discovery
Minh Tran, Maksim Siniukov, Zhangyu Jin, Mohammad Soleymani
https://arxiv.org/abs/2510.01662 htt…

Discrete Facial Encoding: : A Framework for Data-driven Facial Display Discovery
Facial expression analysis is central to understanding human behavior, yet existing coding systems such as the Facial Action Coding System (FACS) are constrained by limited coverage and costly manual annotation. In this work, we introduce Discrete Facial Encoding (DFE), an unsupervised, data-driven alternative of compact and interpretable dictionary of facial expressions from 3D mesh sequences learned through a Residual Vector Quantized Variational Autoencoder (RVQ-VAE). Our approach first extr…

NFL Week 9 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-9-takeaways-what-we-learned-from-sunday-s-12-games

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Runqian Wang, Yilun Du
https://arxiv.org/abs/2510.02300 https://arxiv.org/pdf/2…

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
We introduce Equilibrium Matching (EqM), a generative modeling framework built from an equilibrium dynamics perspective. EqM discards the non-equilibrium, time-conditional dynamics in traditional diffusion and flow-based generative models and instead learns the equilibrium gradient of an implicit energy landscape. Through this approach, we can adopt an optimization-based sampling process at inference time, where samples are obtained by gradient descent on the learned landscape with adjustable s…

What we learned in Cowboys-Packers 40-40 tie: Pickens is a WR1, Dak is back, OL in flux https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/29/cowboys-george-pickens-wr1-dak-presco…

Several months ago, I thought I'd be clever and get ahead of the curve by ordering a little buck converter from China so I could drive my LED Christmas lights from a constant 31VDC source and get rid of the stupid factory supply that requires 7 button presses each time it's powered up to simply light the string steadily rather than flashing in the most irritating, seizure-inducing way humanly imaginable.
Had I done more research in advance, I would have learned that:
1. th…

A couple of weeks ago I learned that you can set sysfs values for Linux MD arrays in the mdadm.conf:
https://lists.debian.org/debian-user/2025/10/msg00318.html
Then I learned this doesn't actually work for incremental assembly (which is how ~all modern Linux does …

Today I learned a new word (or pair of words): "executive physical".
In other words, medical care for the wealthy and powerful, but not for us peons.
https://www.scientificamerican.com/article/trumps-mri-is-not-standard-preve…

Trump’s MRI Is Not Standard ‘Preventive’ Care, Say Experts
“It is certainly not standard medical practice to perform screening MRIs of the heart and abdomen,” says one expert

Flexible Uncertainty Calibration for Machine-Learned Interatomic Potentials
Cheuk Hin Ho, Christoph Ortner, Yangshuai Wang
https://arxiv.org/abs/2510.00721 https://

Flexible Uncertainty Calibration for Machine-Learned Interatomic Potentials
Reliable uncertainty quantification (UQ) is essential for developing machine-learned interatomic potentials (MLIPs) in predictive atomistic simulations. Conformal prediction (CP) is a statistical framework that constructs prediction intervals with guaranteed coverage under minimal assumptions, making it an attractive tool for UQ. However, existing CP techniques, while offering formal coverage guarantees, often lack accuracy, scalability, and adaptability to the complexity of atomic environments…

PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
Zixing Lei, Zibo Zhou, Sheng Yin, Yueru Chen, Qingyao Xu, Weixin Li, Yunhong Wang, Bowei Tang, Wei Jing, Siheng Chen
https://arxiv.org/abs/2510.01708

PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
Humanoid whole-body control (WBC) policies trained in simulation often suffer from the sim-to-real gap, which fundamentally arises from simulator inductive bias, the inherent assumptions and limitations of any single simulator. These biases lead to nontrivial discrepancies both across simulators and between simulation and the real world. To mitigate the effect of simulator inductive bias, the key idea is to train policies jointly across multiple simulators, encouraging the learned controller to…

Empowering students with clean energy education and hands-on experience in Indonesia. Meet Sutanpri, the headmaster leading the way towards a sustainable future. #climatechange #climatesolutions #climate

RESolusi network: Sutanpri
“Joining the RESolusi network has provided me with a platform to connect with other activists and groups working on climate and energy justice, and I have already learned so much from it! 350.org is always providing us with training and resources. It amplifies the voices of our communities and makes us stronger advocates too.”

"I find it difficult to avoid deep pessimism. The lessons of the Covid pandemic have not been learned, and we face the risk of a much more threatening pandemic. The rise to prominence of the ethno-nationalist right in most of the ‘rich’ world combines climate change scepticism with command of a racist political agenda on migration.
/contd

This blog post might be interesting for some "12 Things I Learned Writing CLI Tools in #Crystal"
https://dev.to/kojix2/12-things-i-learned-writing-cli-tools-in-…

12 Things I Learned Writing CLI Tools in Crystal
I love the Crystal programming language. For the past two or three years, I have been building...

Niners-Rams on 'Thursday Night Football': What We Learned from San Francisco's win https://www.nfl.com/news/niners-rams-on-thursday-night-football-what-we-learned-from-san-francisco-s-win

🪞 What we've learned about narcissism over the past 30 years
https://theconversation.com/what-weve-learned-about-narcissism-over-the-past-30-years-258505

What we’ve learned about narcissism over the past 30 years
Narcissism is a picture that includes insecurity, emotional sensitivity and surprising fragility.

Quote Posts on Mastodon
#quote

Introducing quote posts
Over the years, we’ve learned just how essential quoting is to many of you. Here's a deep dive on how quote posts will work on Mastodon.

Wasserstein normalized autoencoder for anomaly detection
CMS Collaboration
https://arxiv.org/abs/2510.02168 https://arxiv.org/pdf/2510.02168

Wasserstein normalized autoencoder for anomaly detection
A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the learned probability distribution -- a Boltzmann distribution where the energy is the reconstruction error of the autoencoder -- and the distribution of the training data. This algorithm has been developed and applied to the identification of semivisible jets -- conical sprays of visible standard model particles an…

Accurate Machine-Learning Description for SiC in Extreme Environments
Jintong Wu, Zhuang Shao, Junlei Zhao, Flyura Djurabekova, Kai Nordlund, Fredric Granberg, Qingmin Zhang, and Jesper Byggm\"astar
https://arxiv.org/abs/2510.01827

Accurate Machine-Learning Description for SiC in Extreme Environments
Silicon carbide (SiC) polymorphs are widely employed as nuclear materials, mechanical components, and wide-bandgap semiconductors. The rapid advancement of SiC-based applications has been complemented by computational modeling studies, including both ab initio and classical atomistic approaches. In this work, we develop a computationally efficient and general-purpose machine-learned interatomic potential (ML-IAP) capable of multimillion-atom molecular dynamics (MD) simulations over microsecond …

Quick question: Has anyone ever learned more from clicking on a "Learn more" link?

Grundeinkommen mal anders.
https://noc.social/@todayilearned/115639265788636490

Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
Yukun Chen, Boheng Li, Yu Yuan, Leyi Qi, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
https://arxiv.org/abs/2509.23871

Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
Knowledge distillation (KD) is a vital technique for deploying deep neural networks (DNNs) on resource-constrained devices by transferring knowledge from large teacher models to lightweight student models. While teacher models from third-party platforms may undergo security verification (\eg, backdoor detection), we uncover a novel and critical threat: distillation-conditional backdoor attacks (DCBAs). DCBA injects dormant and undetectable backdoors into teacher models, which become activated i…

Rachael Bade, who previously co-authored Politico Playbook, Sean Spicer, and Democratic strategist Dan Turrentine plan online political show The Huddle (Status)
https://www.status.news/p/sean-spicer-rachel-bade-dan-turrentine-show-youtube

The 'Huddle' in Washington
Rachael Bade is teaming up with Sean Spicer and Dan Turrentine on a new venture, Status has learned, braving the crowded independent media space with a new political show.

What we learned in NFL Week 9: Seahawks flex in prime time, NFC North up for grabs https://www.nytimes.com/athletic/6772215/2025/11/03/nfl-week-9-takeaways-bills-chiefs-seahawks/

Interpreting Language Models Through Concept Descriptions: A Survey
Nils Feldhus, Laura Kopf
https://arxiv.org/abs/2510.01048 https://arxiv.org/pdf/2510.01…

Interpreting Language Models Through Concept Descriptions: A Survey
Understanding the decision-making processes of neural networks is a central goal of mechanistic interpretability. In the context of Large Language Models (LLMs), this involves uncovering the underlying mechanisms and identifying the roles of individual model components such as neurons and attention heads, as well as model abstractions such as the learned sparse features extracted by Sparse Autoencoders (SAEs). A rapidly growing line of work tackles this challenge by using powerful generator mod…

light-dark() isn't always the same as prefers-color-scheme
— by @…
🖌️ https://www.stefanjudis.com/today-i-learne

light-dark() isn't always the same as prefers-color-scheme
`light-dark()` and `prefers-color-scheme` treat the defined `color-scheme` values differently.

Dallas Cowboys' Jaydon Blue nearly derailed debut with 'questionable' equipment change https://www.sportingnews.com/us/nfl/dallas-cowboys/news/dallas-cowboys-jaydon-blue-nearly-derailed-d…

QGIS :qgis: to (Geo)Pandas follow-up:
The conversation around Looking for better ways to convert between QGIS VectorLayer and (Geo)DataFrame is continuing over at https://fosstodon.org/@underdarkGIS/115442614331293320

QGIS to (Geo)Pandas follow-up
The conversation around Looking for better ways to convert between QGIS VectorLayer and (Geo)DataFrame is continuing over at What I’ve learned so far: QgsVectorLayer.as_geopandas() has landed…

Variable Rate Image Compression via N-Gram Context based Swin-transformer
Priyanka Mudgal, Feng Liu
https://arxiv.org/abs/2510.00058 https://arxiv.org/pdf/…

Variable Rate Image Compression via N-Gram Context based Swin-transformer
This paper presents an N-gram context-based Swin Transformer for learned image compression. Our method achieves variable-rate compression with a single model. By incorporating N-gram context into the Swin Transformer, we overcome its limitation of neglecting larger regions during high-resolution image reconstruction due to its restricted receptive field. This enhancement expands the regions considered for pixel restoration, thereby improving the quality of high-resolution reconstructions. Our m…

I do like that the NFL has learned the rolling maul.
#NFL #BillsSteelers

Israel is not committing genocide in Gaza alone.
Israel, the US, Germany, the UK, and every other silent and complicit country is committing genocide in Gaza.
We have learned nothing from the past except how to recreate its worst horrors in modern ways.

"are you familiar with microaggressions?"
"I learned about microaggressions like this one while you were in the womb"

I'm getting closer with my nginx-rtmp-Docker-container-on-MacOS project!
I started from scratch on the mac a couple days ago, reinstalled docker with homebrew and then realized that part of my problem was that macOS (and windows) has to run docker in a virtual machine container of its own and *that* can mess with networking.
So I have now figured that out. Colima, the vm that seems most popular on macOS, needs a mac specific option (--network-attached) when starting so that it gets the mac network going. Major Aha! moment.
I also learned more completely how to build my own Docker images.
I've gotten to the point where nginx is definitely running, I know the port is open (via nmap on another device), I know nginx is accepting the stream, but nginx still refuses to publish that stream to Youtube (or at least youtube is not seeing it).
I also can ping apple.com and youtube.com from within the container, so access to the outside world is working.
I
So that's where I'm at.
I just figured out how to get into a container and examine the nginx log files now.
At this point I am going to rebuild the container with nginx configured for full debug level logging. Hopefully that provides some more clues on where it is getting stuck.
I give it a 50/50 chance that it is either an nginx configuration/installation problem or another colima virtual machine/networking issue.
I've learned a lot at least and feel better about my overall Docker knowledge!
And I'm documenting on my blog as I go so I'll have a howto produced from this when it finally works!
#docker #mac #nginx #colima #rtmp #youtube #containerizeit

Absolutely terrifying - Have we learned nothing from the history of antibiotic use in cattle pigs poultry?
EPA urged to ban spraying of antibiotics on US food crops amid resistance fears
https://www.theguardian.com/environment/20…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/9]:
- Sparse View Tomographic Reconstruction of Elongated Objects using Learned Primal-Dual Networks
Buda Baji\'c, Johannes A. J. Huber, Benedikt Neyses, Linus Olofsson, Ozan \"Oktem

Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds
Bar Mahpud, Or Sheffet
https://arxiv.org/abs/2510.00790 https://

Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds
We study the problem of learning exponential distributions under differential privacy. Given $n$ i.i.d.\ samples from $\mathrm{Exp}(λ)$, the goal is to privately estimate $λ$ so that the learned distribution is close in total variation distance to the truth. We present two complementary pure DP algorithms: one adapts the classical maximum likelihood estimator via clipping and Laplace noise, while the other leverages the fact that the $(1-1/e)$-quantile equals $1/λ$. Each method excels in a d…

A look at AI-powered "nudify" tools, which make it fast and easy to make nonconsensual, deepfake porn, and the limited legal options available to their victims (Jonathan Vanian/CNBC)
https://www.cnbc.com/2025/09/27/nudify-ai-generated-deepfake-fbi.html

How a 'nudify' site turned a group of friends into key figures in a fight against AI-generated porn
A group of friends in Minnesota last year learned that a man they knew had used their social media photos to create pornographic deepfakes.

What a legend.
And for those out there who are not familiar with state-of-the-art country guitar playing, there are some incredible videos embedded in the article.
#guitar #CountryMusic

“I was hitting sessions until my eyeballs were popping out. I’d go in early in the morning, start at 10 and get home midnight”: Session hero Brent Mason has played on over a thousand records. Here’s what he’s learned about getting the job done
Decorated with accolades from the Grammys to the Academy Of Country Music, the legendary Nashville sessioneer reveals his secret-weapon gear, why he surrendered to the metronome, and the key to nailing that first take

The president of the United States has _almost_ learned that television is not real life. Almost.
And that he’s surrounded himself with people out of touch with reality.
“Well wait a minute, am I watching things on television that are different from what's happening? My people tell me different.”

#LB Vambora começar a citar nossos pets como coautores em nossas publicações?! rs
https://noc.social/@todayilearned/115636552553374493

So Meta makes the cringeworthy Vibes, and just one week later, having learned nothing, OpenAI decides to follow up with Sora 2, a social network for creating short-form video slop nobody needs.

Giants-Patriots on 'Monday Night Football': What We Learned from New England's 33-15 win https://www.nfl.com/news/giants-patriots-on-monday-night-football-what-we-learned-from-new-england-s-33-15-win

NeuralPVS: Learned Estimation of Potentially Visible Sets
Xiangyu Wang, Thomas K\"ohler, Jun Lin Qiu, Shohei Mori, Markus Steinberger, Dieter Schmalstieg
https://arxiv.org/abs/2509.24677

NeuralPVS: Learned Estimation of Potentially Visible Sets
Real-time visibility determination in expansive or dynamically changing environments has long posed a significant challenge in computer graphics. Existing techniques are computationally expensive and often applied as a precomputation step on a static scene. We present NeuralPVS, the first deep-learning approach for visibility computation that efficiently determines from-region visibility in a large scene, running at approximately 100 Hz processing with less than $1\%$ missing geometry. This app…

🇺🇦 #NowPlaying on KEXP's #Early
Hüsker Dü:
🎵 Something I Learned Today
#HüskerDü
https://prfmonthlytributeseries.bandcamp.com/track/something-i-learned-today
https://open.spotify.com/track/523qoxtSZJE2io945dAkVk

Geometric Properties of Neural Multivariate Regression
George Andriopoulos, Zixuan Dong, Bimarsha Adhikari, Keith Ross
https://arxiv.org/abs/2510.01105 https://

Geometric Properties of Neural Multivariate Regression
Neural multivariate regression underpins a wide range of domains such as control, robotics, and finance, yet the geometry of its learned representations remains poorly characterized. While neural collapse has been shown to benefit generalization in classification, we find that analogous collapse in regression consistently degrades performance. To explain this contrast, we analyze models through the lens of intrinsic dimension. Across control tasks and synthetic datasets, we estimate the intrins…

Today I learned about The Crimson Ghosts a "Horrorpunk Rockband from Germany"...
So if you like surf music *and* The Misfits, here ya go!
https://www.crimson-ghosts.de/

| The Crimson Ghosts | Germanys Horrorpunk Rockband |
The Crimson Ghosts, the brainripping Horrorpunk Rockband from Germany. Get all the news, find YouTube links, Spotify playlists and kiss your soul goodbye for we are the sons of the Zodiac

NFL Week 13 takeaways: What We Learned from Sunday's 11 games https://www.nfl.com/news/nfl-week-13-takeaways-what-we-learned-from-sunday-s-11-games

4 Takeaways From the Seahawks' Win Over the Commanders https://www.foxsports.com/stories/nfl/4-takeaways-from-seahawks-win-over-commanders

Sources: after earlier suing CBS over 60 Minutes, Trump is set to be interviewed for the show by Norah O'Donnell, following David Ellison's Paramount purchase (Max Tani/Semafor)
https://www.semafor.com/article/10/31/2025/trump-to…

Trump to sit with CBS News in first interview after lawsuit
The US president is set to sit down with CBS anchor Norah O’Donnell on Friday afternoon, Semafor has learned.

Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao, Joongwon Kim, Wen Sun, Thorsten Joachims, Sid Wang, Richard Yuanzhe Pang, Liang Tan
https://arxiv.org/abs/2510.01135

Prompt Curriculum Learning for Efficient LLM Post-Training
We introduce Prompt Curriculum Learning (PCL), a lightweight reinforcement learning (RL) algorithm that selects intermediate-difficulty prompts using a learned value model to post-train language models. Since post-training LLMs via RL remains sensitive to batching and prompt selection strategies, we first conduct a series of systematic experiments where we (1) determine the optimal training batch size that balances generation efficiency and gradient quality and (2) establish the importance of f…

Editing Physiological Signals in Videos Using Latent Representations
Tianwen Zhou, Akshay Paruchuri, Josef Spjut, Kaan Ak\c{s}it
https://arxiv.org/abs/2509.25348 https://…

Editing Physiological Signals in Videos Using Latent Representations
Camera-based physiological signal estimation provides a non-contact and convenient means to monitor Heart Rate (HR). However, the presence of vital signals in facial videos raises significant privacy concerns, as they can reveal sensitive personal information related to the health and emotional states of an individual. To address this, we propose a learned framework that edits physiological signals in videos while preserving visual fidelity. First, we encode an input video into a latent space v…

Mick Shots: Schotty Ball https://www.dallascowboys.com/podcast/mick-shots-schotty-ball

Jets-Dolphins on Monday night: What We Learned from Miami's 27-21 win over New York https://www.nfl.com/news/jets-dolphins-on-monday-night-what-we-learned-from-miami-s-27-21-win-over-new-york

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
Yanbo Xu, Yu Wu, Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani
https://arxiv.org/abs/2510.01184 htt…

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
We present a mechanism to steer the sampling diversity of denoising diffusion and flow matching models, allowing users to sample from a sharper or broader distribution than the training distribution. We build on the observation that these models leverage (learned) score functions of noisy data distributions for sampling and show that rescaling these allows one to effectively control a `local' sampling temperature. Notably, this approach does not require any finetuning or alterations to training…

Bengals-Broncos on Monday night: What We Learned from Denver's 28-3 win over Cincinnati https://www.nfl.com/news/bengals-broncos-on-monday-night-what-we-learned-from-denver-s-28-3-win-over-cincinnati

What We Learned from Raiders' Week 4 Loss https://www.si.com/nfl/raiders/geno-smith-ashton-jeanty-chicago-bears-las-vegas-pete-carroll

Ravens-Dolphins on 'Thursday Night Football': What We Learned from Baltimore's 28-6 win https://www.nfl.com/news/ravens-dolphins-on-thursday-night-football-what-we-learned-from-baltimore-s-28-6-win

Rectifying Regression in Reinforcement Learning
Alex Ayoub, David Szepesv\'ari, Alireza Baktiari, Csaba Szepesv\'ari, Dale Schuurmans
https://arxiv.org/abs/2510.00885 ht…

Rectifying Regression in Reinforcement Learning
This paper investigates the impact of the loss function in value-based methods for reinforcement learning through an analysis of underlying prediction objectives. We theoretically show that mean absolute error is a better prediction objective than the traditional mean squared error for controlling the learned policy's suboptimality gap. Furthermore, we present results that different loss functions are better aligned with these different regression objectives: binary and categorical cross-entrop…

NFL Week 4 takeaways: What We Learned from Sunday's 13 games https://www.nfl.com/news/2025-nfl-week-4-takeaways-what-we-learned-from-sunday-s-13-games

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

Bears-Eagles on Black Friday: What We Learned from Chicago's 24-15 win https://www.nfl.com/news/bears-eagles-on-black-friday-what-we-learned-from-chicago-s-24-15-win

Matt Eberflus 'grateful' for experience as Bears HC, lessons he learned https://www.dallascowboys.com/news/matt-eberflus-grateful-for-experience-as-bears-hc-lessons-he-learned

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
Dongming Huang, Zhifan Li, Yicheng Li, Qian Lin
https://arxiv.org/abs/2509.20294 https://

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
We study spectral algorithms in the setting where kernels are learned from data. We introduce the effective span dimension (ESD), an alignment-sensitive complexity measure that depends jointly on the signal, spectrum, and noise level $σ^2$. The ESD is well-defined for arbitrary kernels and signals without requiring eigen-decay conditions or source conditions. We prove that for sequence models whose ESD is at most $K$, the minimax excess risk scales as $σ^2 K$. Furthermore, we analyze over-par…

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