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data science

3,686 papers

#data science Open access Sep 2026

THE OPEN NEURAL OBSERVATORY III NEURAL QUESTION ECOLOGIES, UNKNOWN CARTOGRAPHY & SUCCESSOR DISCOVERY AT THE LIMIT Pre-Questions, Research Phylogenies, Method Seed Banks, Human-AI Inquiry, Rights-Preserving Discovery, Open Neural Futures, and Scientific Handoff

THE OPEN NEURAL OBSERVATORY III:NEURAL QUESTION ECOLOGIES, UNKNOWN CARTOGRAPHY & SUCCESSOR DISCOVERY AT THE LIMIT Pre-Questions, Research Phylogenies, Method Seed Banks, Human-AI Inquiry,Rights-Preserving Discovery, Open Neural Futures, and Scientific Handoff Feng Cheng-en (33) x Starli When can a longitudinal neural o...

33 · 0 citations
#data science Dataset Open access Sep 2026

iSCORE-PD: Whole-genome sequencing and variant calling of isogenic hESC clones and controls

This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: Whole-genome sequencing and variant calling of isogenic hESC clones and controls". Description: Whole-genome sequencing (WGS) data for the iSCORE-PD isogenic hESC clone collection. 150bp paired-end WGS was performed on Illu...

Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al. · 0 citations
#data science Dataset Open access Sep 2026

iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones

This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones". Description: Targeted DNA sequencing data for the iSCORE-PD isogenic hESC clone collection, encompassing three complementary analyses: (1) NGS genotyping of 53 m...

Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al. · 0 citations
#data science Dataset Open access Sep 2026

iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones

This Zenodo deposit contains a publicly available description of the Dataset: Title: "iSCORE-PD: NGS genotyping and zygosity testing of isogenic hESC clones". Description: Targeted DNA sequencing data for the iSCORE-PD isogenic hESC clone collection, encompassing three complementary analyses: (1) NGS genotyping of 53 m...

Oriol Busquets, Hanqin Li, Khaja Mohieddin Syed et al. · 0 citations
#data science Review Open access Sep 2026

Artificial Intelligence in Dentistry: Integrated Applications and Specialty-Specific Advances

This review synthesizes advances in deep learning and machine learning for oral disease diagnosis, orthodontic treatment prediction, pediatric oral health management, adolescent psychological-oral health interactions, and precision care for special-needs populations, drawing on evidence published predominantly between...

Yuan-Qi Zhang, Tao Wen, Zheng-Rou Wang et al. · 0 citations
#data science Preprint Sep 2026

FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models

FluxLite is introduced, a lightweight, training-free proposal-control framework for discrete diffusion, identifying a tilted-path coverage factor that governs robustness to score error, together with finite-particle convergence for a fixed controlled Feynman-Kac recursion.

Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff et al. · 1 citation
#data science Review Open access Sep 2026

Biophotonics point-of-care diagnostics in low-resource settings: a South African perspective.

Recommendations are made for regulatory-science partnerships, human-centred design, interoperable digital pipelines, and investment in field-based validation and manufacturing to translate photonics innovations into resilient, equitable POC solutions across South Africa and the wider sub-Saharan context.

P. Mthunzi-Kufa, M. M. Mathipa, Tendai Makwikwi et al. · 0 citations

Reasoning with Sampling: Cutting at Decision Points

An algorithm is introduced that uses the base model's next-token entropy as a proxy to identify key decision points and resample from those positions and it is proved that the method's mixing time scales with the number of decisions in a trace rather than with the number of tokens, which can be much larger.

Felix Zhou, Anay Mehrotra, Quanquan C. Liu · 3 citations

Amortized Optimal Transport from Sliced Potentials

A novel amortized optimization method for predicting optimal transport (OT) plans across multiple pairs of measures by leveraging Kantorovich potentials derived from sliced OT, which enables efficient solutions to repeated OT problems across different measure pairs by reusing information learned from prior instances to...

Minh-Phuc Truong, Khai Nguyen · 3 citations

Query Lower Bounds for Diffusion Sampling

This work establishes the first score query lower bounds for diffusion sampling, and proves that for $d$-dimensional distributions, given access to score estimates with polynomial accuracy $\varepsilon=d^{-O(1)}$ (in any $L^p$ sense), any sampling algorithm requires $\widetilde{\Omega}(\sqrt{d})$ adaptive score queries...

Zhi-Yang Xun, Eric Price · 2 citations
#artificial intelligence Preprint Open access Sep 2026

Causal pieces: analysing and improving spiking neural networks piece by piece

We introduce "causal pieces", a novel concept for analysing spiking neural networks (SNNs), inspired by "linear pieces" used to study expressivity and trainability in artificial neural networks (ANNs). Causal pieces partition the input and parameter space of a feedforward SNN with single-spike coding into distinct regi...

Dominik Dold, Philipp Christian Petersen · 0 citations

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