Tootfinder

'Man has a little fight with the wife': Trump downplays domestic violence at Bible event (David Edwards/Raw Story)
https://www.rawstory.com/trump-domestic-violence/
http://www.memeorandum.com/250908/p136#a250908p136

On the Normalization of Confusion Matrices: Methods and Geometric Interpretations
Johan Erbani, Pierre-Edouard Portier, Elod Egyed-Zsigmond, Sonia Ben Mokhtar, Diana Nurbakova
https://arxiv.org/abs/2509.04959

On the Normalization of Confusion Matrices: Methods and Geometric Interpretations
The confusion matrix is a standard tool for evaluating classifiers by providing insights into class-level errors. In heterogeneous settings, its values are shaped by two main factors: class similarity -- how easily the model confuses two classes -- and distribution bias, arising from skewed distributions in the training and test sets. However, confusion matrix values reflect a mix of both factors, making it difficult to disentangle their individual contributions. To address this, we introduce b…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Mariah Carey:
🎵 Without You
#MariahCarey
https://djeduardobrava.bandcamp.com/album/mariah-carey-without-you-2k19-eduardo-brava-private-mash
https://open.spotify.com/track/3wyd6vHTrwvvY3mZzG6BRi

AI-Assisted Modeling: DSL-Driven AI Interactions
Steven Smyth, Daniel Busch, Moez Ben Haj Hmida, Edward A. Lee, Bernhard Steffen
https://arxiv.org/abs/2509.05160 https://…

AI-Assisted Modeling: DSL-Driven AI Interactions
AI-assisted programming greatly increases software development performance. We enhance this potential by integrating transparency through domain-specific modeling techniques and providing instantaneous, graphical visualizations that accurately represent the semantics of AI-generated code. This approach facilitates visual inspection and formal verification, such as model checking. Formal models can be developed using programming, natural language prompts, voice commands, and stage-wise refinem…

Sources: Tesla is disbanding the Dojo supercomputer team, and its leader is leaving, after ~20 team members joined DensityAI, a new data center services startup (Edward Ludlow/Bloomberg)
https://www.bloomberg.com/news/articles/20

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/8]:
- Approximate Gaussianity Beyond Initialisation in Neural Networks
Edward Hirst, Sanjaye Ramgoolam

Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/1]:
- Sample-efficient Integration of New Modalities into Large Language Models
Osman Batur \.Ince, Andr\'e F. T. Martins, Oisin Mac Aodha, Edoardo M. Ponti

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen)
Yifei Ren, Edward Johns
https://arxiv.org/abs/2509.06191 https://

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen)
Recent 3D generative models, which are capable of generating full object shapes from just a few images, now open up new opportunities in robotics. In this work, we show that 3D generative models can be used to augment a dataset from a single real-world demonstration, after which an omnidirectional policy can be learned within this imagined dataset. We found that this enables a robot to perform a task when initialised from states very far from those observed during the demonstration, including s…

Retired Justice Kennedy laments coarse discourse of Trump era and its effects on Supreme Court (Politico)
https://www.politico.com/news/2025/10/08/retired-justice-kennedy-laments-coarse-discourse-of-trump-era-and-its-effects-on-supreme-court-00599414
http://www.memeorandum.com/251009/p16#a251009p16

Learning to Walk in Costume: Adversarial Motion Priors for Aesthetically Constrained Humanoids
Arturo Flores Alvarez, Fatemeh Zargarbashi, Havel Liu, Shiqi Wang, Liam Edwards, Jessica Anz, Alex Xu, Fan Shi, Stelian Coros, Dennis W. Hong
https://arxiv.org/abs/2509.05581

Learning to Walk in Costume: Adversarial Motion Priors for Aesthetically Constrained Humanoids
We present a Reinforcement Learning (RL)-based locomotion system for Cosmo, a custom-built humanoid robot designed for entertainment applications. Unlike traditional humanoids, entertainment robots present unique challenges due to aesthetic-driven design choices. Cosmo embodies these with a disproportionately large head (16% of total mass), limited sensing, and protective shells that considerably restrict movement. To address these challenges, we apply Adversarial Motion Priors (AMP) to enable …