2025-12-04 21:30:37
@… @… How else will I show off at the country club?!?
If none of the other execs even *get* the metrics I’m using, they won’t be impressed!
@… @… How else will I show off at the country club?!?
If none of the other execs even *get* the metrics I’m using, they won’t be impressed!
So it's been pointed out that steve, the #jobserver, doesn't have a #logo. Here's a first approximation. Made in #Inkscape, using lines and fonts (the apples are from Noto Sans, I think). I also have an SVG version but browsers mess it up by substituting the apples for some colorful emojis with incompatible metrics. I've added a bright background, since the actual transparent background doesn't work on black (which seems to be Mastodon default).
Streaming metrics underwent a rethink in 2025, as Netflix and Disney pivoted away from subscriber numbers to revenue per user, engagement, and other metrics (Deadline)
https://deadline.com/2025/12/streaming-report-card-2025-1236651338/
Critical fantasy football insights for Week 14: The Jordan Love to Christian Watson era https://www.nytimes.com/athletic/6852464/2025/12/02/critical-fantasy-football-insights-usage-week-14/
I did not know about ggplot_build() before. It can come in handy in situations where you want to access computed metrics of a #ggplot. https://ggplot2.tidyverse.org/reference/ggplot_build.html…
OFERA: Blendshape-driven 3D Gaussian Control for Occluded Facial Expression to Realistic Avatars in VR
Seokhwan Yang, Boram Yoon, Seoyoung Kang, Hail Song, Woontack Woo
https://arxiv.org/abs/2602.01748 https://arxiv.org/pdf/2602.01748 https://arxiv.org/html/2602.01748
arXiv:2602.01748v1 Announce Type: new
Abstract: We propose OFERA, a novel framework for real-time expression control of photorealistic Gaussian head avatars for VR headset users. Existing approaches attempt to recover occluded facial expressions using additional sensors or internal cameras, but sensor-based methods increase device weight and discomfort, while camera-based methods raise privacy concerns and suffer from limited access to raw data. To overcome these limitations, we leverage the blendshape signals provided by commercial VR headsets as expression inputs. Our framework consists of three key components: (1) Blendshape Distribution Alignment (BDA), which applies linear regression to align the headset-provided blendshape distribution to a canonical input space; (2) an Expression Parameter Mapper (EPM) that maps the aligned blendshape signals into an expression parameter space for controlling Gaussian head avatars; and (3) a Mapper-integrated Avatar (MiA) that incorporates EPM into the avatar learning process to ensure distributional consistency. Furthermore, OFERA establishes an end-to-end pipeline that senses and maps expressions, updates Gaussian avatars, and renders them in real-time within VR environments. We show that EPM outperforms existing mapping methods on quantitative metrics, and we demonstrate through a user study that the full OFERA framework enhances expression fidelity while preserving avatar realism. By enabling real-time and photorealistic avatar expression control, OFERA significantly improves telepresence in VR communication. A project page is available at https://ysshwan147.github.io/projects/ofera/.
toXiv_bot_toot
If you’re a mediocre manager / executive / admin / leader, what this feels like is •you• have a brilliant idea that will fix things or save a bazillion dollars or boost the metrics or whatever, but all these annoying underling keep telling you that you can’t do that for reasons that you don’t understand and that make no sense to you and you suspect they’re kind of making up.
And you keep saying “Can’t you just…” and they keep giving these confusing gobbledygook answers and the result is that your brilliant leadership cannot come to fruition.
4/
"Standing out of the crowd – How can researchers be more visible?" #Forschung
I don’t usually post things like this - maybe due to a yearly sense of failure 😅 (by most conventional metrics) or alternatively a reluctance to rub it in if others have had even harder years. But I’ve come to think that not just private gratitude, but occasional public sharing might actually be beneficial. & so, having now dawdled / hedged long enough, here are some things I'm thankful for in 2025 😂 -
- Going from pain when using a mouse, playing keys, & many other basic &…
Set up HA to sent a metrics to Prometheus over MQTT so I can scale the PostgreSQL server I have on my home cluster for development down when my PC is off:
#MQTT #HomeAssistant #PostgresQL
@… github metrics jumped by 4000% after we added triage bot!
Woke up at 5am and got an idea to fix a 3D print that didn't quite fit. Started the printer and it might be done in time for when I have to leave the house. No, I'm not a addicted to tech nerdery #3Dprint #3Dprinting
I'm trying out a new health app to try to replace Fitbit. The Fitbit app doesn't really do anything for me and costs $100 per year. I can get my smart scale and my blood pressure cuff to pipe data into the new app. I also bought a smart ring to pump data into it. I like this, so far.
#Health #Metrics #Fitness
Shedeur Sanders' metrics weren't very good, but what is correctable by next season? https://www.nytimes.com/athletic/6970820/2026/01/15/shedeur-sanders-low-metrics-what-is-correctable/
👀 Defensive regression. If you review most of the goals this season, it usually isn’t that LFC don’t have enough people behind the ball. It’s that depth & injuries have been more undermining than expected. Little choice but to play those out of form or out of position.
Missing out on Guehi was massive, as was the injury to Leoni, and the decision to sell Quansah now looks bad. I think Trent, when he wanted to, was a better defender than his reputation, but defensively, he’s not mis…
Democrats focused on the improving metrics
and lost voters who were drowning in the day to day reality.
Trump is doing something even worse.
He is telling people their suffering does not exist at all.
That is not optimism.
That is contempt.
And contempt has a way of boomeranging in politics.
Does #TelecomItalia Sparkle have an ongoing incident with elevated latency in the past couple days? I'm hearing of several TI (business) customers with issues connecting towards the North.
https://radar.cloudflare.…
SNC K\"ahler-Einstein metrics and RCD spaces
Martin de Borbon, Cristiano Spotti
https://arxiv.org/abs/2601.18741 https://arxiv.org/pdf/2601.18741
"Author Name Disambiguation in Scholarly Research: A Bibliometric Perspective"
https://doi.org/10.1515/opis-2025-0035
"The rapid expansion of scholarly publishing has amplified the long-standing challenge of author name ambiguity in academic databases. This issue, manifesting a…
Wat dis @…? xD
https://mastodon.social/@CyReVolt/wrapstodon/2025/ea7f7387997d28d7
So we got some metrics now.
The Paper Factory: How Academia Turned Research into Production — From publish-or-perish pressure to the erosion of creativity in modern science https://research-reviewer.blogspot.com/2025/10/publish-or-perish-research.html
VCs fund companies who get on the latest hype train. Solving a real user problem is a secondary concern; "product market fit" is seen as something you do only after you build, a sales problem.
But when the product doesn't solve any real problems, showing "progress" to your board is impossible!
So managers invent metrics. Many people are going to come back to the office this week and set goals based on what activity is easiest to measure, rather than what i…
NFL fans will hate Cowboys' Dak Prescott's QB ranking ahead of Week 16 https://www.sportingnews.com/us/nfl/dallas-cowboys/news/nfl-fans-will-hate-cowboys-dak-prescotts-qb-ranking-ahead-week-1…
Sources: Bari Weiss moved a planned internal CBS town hall, set to lay out her broader vision, from this month to 2026, after the Erika Kirk town hall flopped (Natalie Korach/Status)
https://www.status.news/p/bari-weiss-cbs-news-erika-kirk-town-hall-ratings<…
@… harmonic analysis of metrics data I love it
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/5]:
- Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
Gon\c{c}alo Faria, Noah A. Smith
https://arxiv.org/abs/2504.03790 https://mastoxiv.page/@arXiv_csCL_bot/114301112970577326
- A Survey on Archetypal Analysis
Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten M{\o}rup
https://arxiv.org/abs/2504.12392 https://mastoxiv.page/@arXiv_statME_bot/114357826909813483
- The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
Michael L. Wells, Kamel Lahouel, Bruno Jedynak
https://arxiv.org/abs/2505.11622 https://mastoxiv.page/@arXiv_statML_bot/114539065460187982
- BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions
Kingsley Yeon, Promit Ghosal, Mihai Anitescu
https://arxiv.org/abs/2505.12289 https://mastoxiv.page/@arXiv_mathNA_bot/114539035462135281
- Clustering and Pruning in Causal Data Fusion
Otto Tabell, Santtu Tikka, Juha Karvanen
https://arxiv.org/abs/2505.15215 https://mastoxiv.page/@arXiv_statML_bot/114550346291754635
- On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of ph...
Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden
https://arxiv.org/abs/2506.11683 https://mastoxiv.page/@arXiv_statML_bot/114692410563481289
- Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations
Maheshwari, Tang, Ock, Kolluru, Farimani, Kitchin
https://arxiv.org/abs/2506.14850 https://mastoxiv.page/@arXiv_physicschemph_bot/114709402590755731
- Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David M. Blei
https://arxiv.org/abs/2506.18283 https://mastoxiv.page/@arXiv_statML_bot/114738165218533987
- ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
Mina Namazi, Alexander Nemecek, Erman Ayday
https://arxiv.org/abs/2506.20915 https://mastoxiv.page/@arXiv_csCR_bot/114754394485208892
- SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars
Zhao, Huang, Xue, Kong, Liu, Tang, Beers, Ting, Luo
https://arxiv.org/abs/2507.01939 https://mastoxiv.page/@arXiv_astrophIM_bot/114788369702591337
- Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based I...
Ko Watanabe, Stanislav Frolov, Aya Hassan, David Dembinsky, Adriano Lucieri, Andreas Dengel
https://arxiv.org/abs/2507.17860 https://mastoxiv.page/@arXiv_csCV_bot/114912976717523345
- PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu
https://arxiv.org/abs/2508.10501 https://mastoxiv.page/@arXiv_csAI_bot/115032101532614110
- Unified Acoustic Representations for Screening Neurological and Respiratory Pathologies from Voice
Ran Piao, Yuan Lu, Hareld Kemps, Tong Xia, Aaqib Saeed
https://arxiv.org/abs/2508.20717 https://mastoxiv.page/@arXiv_csSD_bot/115111255835875066
- Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
Tasnuva Chowdhury, et al.
https://arxiv.org/abs/2509.11512 https://mastoxiv.page/@arXiv_csDC_bot/115213444524490263
- MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
Ali Reza Ibrahimzada, Brandon Paulsen, Reyhaneh Jabbarvand, Joey Dodds, Daniel Kroening
https://arxiv.org/abs/2509.16187 https://mastoxiv.page/@arXiv_csSE_bot/115247172280557686
- Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Dataset Generation ...
Adam Lahouari, Jutta Rogal, Mark E. Tuckerman
https://arxiv.org/abs/2509.21647 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/115286737423175311
- Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
Han Yuan, Yue Zhao, Li Zhang, Wuqiong Luo, Zheng Ma
https://arxiv.org/abs/2509.21791 https://mastoxiv.page/@arXiv_csCL_bot/115287166674809413
- The Generation Phases of Flow Matching: a Denoising Perspective
Anne Gagneux, S\'egol\`ene Martin, R\'emi Gribonval, Mathurin Massias
https://arxiv.org/abs/2510.24830 https://mastoxiv.page/@arXiv_csCV_bot/115462527449411627
- Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Han...
Giorgio Palma, Andrea Serani, Matteo Diez
https://arxiv.org/abs/2511.04461 https://mastoxiv.page/@arXiv_eessSY_bot/115507785247809767
- Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
https://arxiv.org/abs/2511.09801 https://mastoxiv.page/@arXiv_statML_bot/115547135711272091
toXiv_bot_toot
Early winter this years #coldswim season. Water at about 4,5°C while the air was about -3°C. Swam for about 4min #Uckermark
Conference title games with Next Gen Stats https://www.espn.com/nfl/story/_/id/47708081/breaking-broncos-pats-seahawks-rams-via-next-gen-stats
The T-tensor of spherically symmetric Finsler metrics
Salah G. Elgendi
https://arxiv.org/abs/2601.16021 https://arxiv.org/pdf/2601.16021
Ok, time for a little #rant
One aspect of (generative) AI in education that I have become increasingly aware of is the role AI plays in magnifying the results-oriented culture we have created. Grades and publication metrics are designed to measure the achievement of individuals as compared to other individuals. For students, better grades mean admission to the next degree or a better job. For…
Invariant Price of Anarchy: a Metric for Welfarist Traffic Control
Ilia Shilov, Mingjia He, Heinrich H. Nax, Emilio Frazzoli, Gioele Zardini, Saverio Bolognani
https://arxiv.org/abs/2512.05843 https://arxiv.org/pdf/2512.05843 https://arxiv.org/html/2512.05843
arXiv:2512.05843v1 Announce Type: new
Abstract: The Price of Anarchy (PoA) is a standard metric for quantifying inefficiency in socio-technical systems, widely used to guide policies like traffic tolling. Conventional PoA analysis relies on exact numerical costs. However, in many settings, costs represent agents' preferences and may be defined only up to possibly arbitrary scaling and shifting, representing informational and modeling ambiguities. We observe that while such transformations preserve equilibrium and optimal outcomes, they change the PoA value. To resolve this issue, we rely on results from Social Choice Theory and define the Invariant PoA. By connecting admissible transformations to degrees of comparability of agents' costs, we derive the specific social welfare functions which ensure that efficiency evaluations do not depend on arbitrary rescalings or translations of individual costs. Case studies on a toy example and the Zurich network demonstrate that identical tolling strategies can lead to substantially different efficiency estimates depending on the assumed comparability. Our framework thus demonstrates that explicit axiomatic foundations are necessary in order to define efficiency metrics and to appropriately guide policy in large-scale infrastructure design robustly and effectively.
toXiv_bot_toot
Critical fantasy football insights for Week 12: Spotlight on Cousins after Penix hits IR https://www.nytimes.com/athletic/6814487/2025/11/18/critical-insights-usage-fantasy-football-week-12/
I had no idea this existed.
A public health dashboard for England, graphing metrics for everything from colds, to measles, to childhood vaccination rates and more.
Fascinating stuff.
#Data #Datavis #PublicHealth #DataIsBeautiful