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@joe@toot.works
2025-08-23 20:53:14

There is always money in the banana stand, Michael!
#ArrestedDevelopment #RenFair

@arXiv_csAI_bot@mastoxiv.page
2025-09-24 10:34:14

Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)
Erik Penther, Michael Grohs, Jana-Rebecca Rehse
arxiv.org/abs/2509.18986

Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)
Predictive process monitoring is a sub-domain of process mining which aims to forecast the future of ongoing process executions. One common prediction target is the remaining time, meaning the time that will elapse until a process execution is completed. In this paper, we compare four different remaining time prediction approaches in a real-life outbound warehouse process of a logistics company in the aviation business. For this process, the company provided us with a novel and original event l…

@kurtsh@mastodon.social
2025-08-23 05:01:38

Here’s what was NOT released today:
❌ the proffer agreement between Maxwell & the DoJ
❌ the agreement transferring Maxwell to club fed
❌ communications showing who waived Maxwell’s sex offender status allowing her transfer & possible work assignments outside prison
❌ the Epstein files
Original post:

@davej@dice.camp
2025-09-24 06:47:47
Content warning: NCIS spoiler from 2008.

My wife has Fast & Furious (the fourth one) on in the background, and we’re discussing whether Liza Lapira’s character (Trinh) is the same one as her character (Michelle Lee) in #NCIS.
Lee died in NCIS’ 2008 season, whereas F&F came out in 2009. But if her death was faked, and she’s still working for the Chinese under a new identity, she could be at the FBI…
Incidentally, my wife poin…

@june_thalia_michael@literatur.social
2025-08-25 07:00:31

#EroticMusings 13: How important is it that an audience experiences your work? How much interaction do you want?
I love interaction and hearing from my audience! Very view people review erotic novels, so every review feels rewarding. Also seeing reactions to my books on the fedi or getting DMs about my book? That makes me happy.
I hate it when people want to talk about me inst…

@arXiv_csLG_bot@mastoxiv.page
2025-09-23 12:49:00

Equilibrium flow: From Snapshots to Dynamics
Yanbo Zhang, Michael Levin
arxiv.org/abs/2509.17990 arxiv.org/pdf/2509.17990

Equilibrium flow: From Snapshots to Dynamics
Scientific data, from cellular snapshots in biology to celestial distributions in cosmology, often consists of static patterns from underlying dynamical systems. These snapshots, while lacking temporal ordering, implicitly encode the processes that preserve them. This work investigates how strongly such a distribution constrains its underlying dynamics and how to recover them. We introduce the Equilibrium flow method, a framework that learns continuous dynamics that preserve a given pattern dis…

@arXiv_csCV_bot@mastoxiv.page
2025-09-24 11:13:44

Moving by Looking: Towards Vision-Driven Avatar Motion Generation
Markos Diomataris, Berat Mert Albaba, Giorgio Becherini, Partha Ghosh, Omid Taheri, Michael J. Black
arxiv.org/abs/2509.19259

Moving by Looking: Towards Vision-Driven Avatar Motion Generation
The way we perceive the world fundamentally shapes how we move, whether it is how we navigate in a room or how we interact with other humans. Current human motion generation methods, neglect this interdependency and use task-specific ``perception'' that differs radically from that of humans. We argue that the generation of human-like avatar behavior requires human-like perception. Consequently, in this work we present CLOPS, the first human avatar that solely uses egocentric vision to perceive …

@arXiv_csCL_bot@mastoxiv.page
2025-09-24 10:44:24

Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
Nicholas Popovi\v{c}, Michael F\"arber
arxiv.org/abs/2509.18901

Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
Recent works in Natural Language Inference (NLI) and related tasks, such as automated fact-checking, employ atomic fact decomposition to enhance interpretability and robustness. For this, existing methods rely on resource-intensive generative large language models (LLMs) to perform decomposition. We propose JEDI, an encoder-only architecture that jointly performs extractive atomic fact decomposition and interpretable inference without requiring generative models during inference. To facilitate …

@arXiv_csRO_bot@mastoxiv.page
2025-09-24 10:38:24

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation
Suzannah Wistreich, Baiyu Shi, Stephen Tian, Samuel Clarke, Michael Nath, Chengyi Xu, Zhenan Bao, Jiajun Wu
arxiv.org/abs/2509.18830

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation
Human skin provides a rich tactile sensing stream, localizing intentional and unintentional contact events over a large and contoured region. Replicating these tactile sensing capabilities for dexterous robotic manipulation systems remains a longstanding challenge. In this work, we take a step towards this goal by introducing DexSkin. DexSkin is a soft, conformable capacitive electronic skin that enables sensitive, localized, and calibratable tactile sensing, and can be tailored to varying geom…

@arXiv_csHC_bot@mastoxiv.page
2025-08-25 07:39:00

Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
Ortensia Forni, Alexandre Darmon, Michael Benzaquen
arxiv.org/abs/2508.15777

Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
While color harmony has long been studied in art and design, a clear consensus remains elusive, as most models are grounded in qualitative insights or limited datasets. In this work, we present a quantitative, data-driven study of color pairing preferences using controlled hue-based palettes in the HSL color space. Participants evaluated combinations of thirteen distinct hues, enabling us to construct a preference matrix and define a combinability index for each color. Our results reveal that p…