Tootfinder

Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
Trung Phung, Kyle Reese, Ilya Shpitser, Rohit Bhattacharya
https://arxiv.org/abs/2507.16107

Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
A common approach for handling missing values in data analysis pipelines is multiple imputation via software packages such as MICE (Van Buuren and Groothuis-Oudshoorn, 2011) and Amelia (Honaker et al., 2011). These packages typically assume the data are missing at random (MAR), and impose parametric or smoothing assumptions upon the imputing distributions in a way that allows imputation to proceed even if not all missingness patterns have support in the data. Such assumptions are unrealistic in…

Spirit Halloween guard kills suspected shoplifter: Cops
https://lawandcrime.com/crime/ill-f-shoot-you-spirit-halloween-security-guard-kills-man-suspected-of-stealing-items-worth-less-than-90-police-say/

Superdielectrics: Disorder-induced perfect screening in insulators
Ilia Komissarov, Tobias Holder, Raquel Queiroz
https://arxiv.org/abs/2508.14962 https://…

Superdielectrics: Disorder-induced perfect screening in insulators
We study the relationship between the quantities that encode the insulating properties of matter: the ground-state quantum metric, the average localization length, and the electric susceptibility. By examining the one-dimensional Anderson insulator model and the Su-Schrieffer-Heeger chain with chiral disorder, we demonstrate that the former two measures are proportional in one-dimensional systems near criticality, and both are determined by the properties of the hybridized localized states arou…

Raiders IOL Dylan Parham is peaking at the right time https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/18/raiders-preseason-iol-dylan-parham-is-peaking-at-the-right-time/85707124007/

Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider, Pratik Singh Bisht, Ilya Chugunov, Andreas Kolb, Michael Moeller, Felix Heide
https://arxiv.org/abs/2509.16336

Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Learning editable high-resolution scene representations for dynamic scenes is an open problem with applications across the domains from autonomous driving to creative editing - the most successful approaches today make a trade-off between editability and supporting scene complexity: neural atlases represent dynamic scenes as two deforming image layers, foreground and background, which are editable in 2D, but break down when multiple objects occlude and interact. In contrast, scene graph models …

new beanytuesday politicians dont hit like og bloodfeast but ill take it

Folks, Mohammed ( @…) has taken ill after his trip to the South to try and secure a place for his family.
It’s likely Covid.
It’s the second account I’m seeing of someone who visited the South falling ill with Covid in as many days.
Please help him cover cost of treatment in addition to everything else.
This is his fundraiser:

No shelter, no safety - Help Mohammed survive genocide in Gaza
My name is Thomas and I live in France and in the UK. I'm hosting Mohammed's campaign because Palestinians cannot host their own campaigns. If you've got any questions or if you'd like any proofs, I'm happy to provide you with these. Please support! Peace ✌️

Crosslisted article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new
[1/1]:
- Superdielectrics: Disorder-induced perfect screening in insulators
Ilia Komissarov, Tobias Holder, Raquel Queiroz

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs
Pranjal Aggarwal, Seungone Kim, Jack Lanchantin, Sean Welleck, Jason Weston, Ilia Kulikov, Swarnadeep Saha
https://arxiv.org/abs/2508.13141

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs
Thinking LLMs solve complex tasks at the expense of increased compute and overthinking on simpler problems, while non-thinking LLMs are faster and cheaper but underthink on harder reasoning problems. This has led to the development of separate thinking and non-thinking LLM variants, leaving the onus of selecting the optimal model for each query on the end user. In this work, we introduce OptimalThinkingBench, a unified benchmark that jointly evaluates overthinking and underthinking in LLMs and …

SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection
Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Han Shi, Dongmei Zhang
https://arxiv.org/abs/2509.07473

SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection
Spreadsheets are critical to data-centric tasks, with rich, structured layouts that enable efficient information transmission. Given the time and expertise required for manual spreadsheet layout design, there is an urgent need for automated solutions. However, existing automated layout models are ill-suited to spreadsheets, as they often (1) treat components as axis-aligned rectangles with continuous coordinates, overlooking the inherently discrete, grid-based structure of spreadsheets; and (2)…