Tootfinder

So we kicked off 1998 with the Wombles as a novelty group, and we're kicking off 1985 with Amazulu as the novelty group.
Yeah they are.
#TOTP

I've finally figured out this European nobility fad.
The difference between a marquess and marquis is that a marquis holds a slightly higher nobility because he can fill out a french brassiere. The marquess is jealous of all frenchmen. They both admit that french cheese is dirtier and better.
An archduke speaks disparagingly of both of them.
#Nobility

Balancing Accuracy and Novelty with Sub-Item Popularity
Chiara Mallamaci, Aleksandr Vladimirovich Petrov, Alberto Carlo Maria Mancino, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald
https://arxiv.org/abs/2508.05198

Balancing Accuracy and Novelty with Sub-Item Popularity
In the realm of music recommendation, sequential recommenders have shown promise in capturing the dynamic nature of music consumption. A key characteristic of this domain is repetitive listening, where users frequently replay familiar tracks. To capture these repetition patterns, recent research has introduced Personalised Popularity Scores (PPS), which quantify user-specific preferences based on historical frequency. While PPS enhances relevance in recommendation, it often reinforces already-k…

By-the-way, it is clear that we are experiencing the end of Democracy and rise of Dictatorship in the US.
We have long observed the rise of large corporations as a class of privileged nobility.
And now we are watching the onset of governance by artificial "intelligence".
Perhaps we will resume democracy, but unless we change our ground rules - such as our Constitution - the power of corporations and, now, AI's will remain a serious problem.
So I will men…

'Doesn't have the authority': TX governor gets basic law lesson from Newsmax expert - Raw Story
https://www.rawstory.com/andrew-napolitano-greg-abbott-redistricting/

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
Sina Khajehabdollahi, Gautier Hamon, Marko Cvjetko, Pierre-Yves Oudeyer, Cl\'ement Moulin-Frier, C\'edric Colas
https://arxiv.org/abs/2509.03863

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
Discovering diverse visual patterns in continuous cellular automata (CA) is challenging due to the vastness and redundancy of high-dimensional behavioral spaces. Traditional exploration methods like Novelty Search (NS) expand locally by mutating known novel solutions but often plateau when local novelty is exhausted, failing to reach distant, unexplored regions. We introduce Expedition and Expansion (E&E), a hybrid strategy where exploration alternates between local novelty-driven expansions an…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
New Bloods:
🎵 Oh, Deadly Nightshade!
#NewBloods
https://newbloods.bandcamp.com/track/oh-deadly-nightshade
https://open.spotify.com/track/4TaKW5FBXPmt7BIGkjskP5

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy
Jiahao Ma, Hongzong Li, Ye-Fan Hu, Jian-Dong Huang
https://arxiv.org/abs/2510.05747

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy
Physicochemically informed biological sequence generation has the potential to accelerate computer-aided cellular therapy, yet current models fail to \emph{jointly} ensure novelty, diversity, and biophysical plausibility when designing variable regions of T-cell receptors (TCRs). We present \textbf{PhysicoGPTCR}, a large generative protein Transformer that is \emph{dual-conditioned} on peptide and HLA context and trained to autoregressively synthesise TCR sequences while embedding residue-level…

Coupled tensor models for probability mass function estimation: Part II, Uniqueness of the model
Philippe Flores (CNRS, UGA, Grenoble INP, GIPSA-lab), Konstantin Usevich (CRAN, CNRS, UL), David Brie (CRAN, CNRS, UL)
https://arxiv.org/abs/2509.04931

Coupled tensor models for probability mass function estimation: Part II, Uniqueness of the model
In this paper, uniqueness properties of a coupled tensor model are studied. This new coupled tensor model is used in a new method called Partial Coupled Tensor Factorization of 3D marginals or PCTF3D. This method performs estimation of probability mass functions by coupling 3D marginals, seen as order-3 tensors. The core novelty of PCTF3D's approach (detailed in the part I article) relies on the partial coupling which consists on the choice of 3D marginals to be coupled. Tensor methods are ubiq…

Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
Philippe Flores (CNRS, UGA, Grenoble INP, GIPSA-lab), Konstantin Usevich (CRAN, CNRS, UL), David Brie (CRAN, CNRS, UL)
https://arxiv.org/abs/2509.04930

Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
In this article, a Probability Mass Function (PMF) estimation method which tames the curse of dimensionality is proposed. This method, called Partial Coupled Tensor Factorization of 3D marginals or PCTF3D, has for principle to partially couple order-3 data projections -- seen as order-3 tensors -- to obtain a tensor decomposition of the probability mass tensor. The novelty of PCTF3D relies on partial coupling which consists in choosing a subset of 3D marginals. The choice of marginals is then f…