Data analysis, statistics, and data engineering
I'm building a crowdsourced photo collection platform (contributors take photos with smartphones, we auto-label with YOLO/CLIP + enrich w...
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
![[2602.14642] GenPANIS: A Latent-Variable Generative Framework for Forward and Inverse PDE Problems in Multiphase Media](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
GenPANIS introduces a generative framework for solving forward and inverse PDE problems in multiphase media, enhancing accuracy and effic...
This paper explores Quantum Reservoir Computing (QRC) using neutral atoms to enhance predictions in medical datasets, demonstrating impro...
This paper presents a Bayesian approach to low-discrepancy subset selection, addressing its NP-hardness and proposing a Bayesian Optimiza...
The paper presents a novel olfactory-visual multimodal model for detecting fine-grained rice deterioration, achieving high accuracy and s...
TruthStance introduces a comprehensive dataset of conversations from Truth Social, focusing on argument mining and stance detection, with...
This paper presents a novel approach to constrained and composite sampling using a proximal sampler, addressing challenges in enforcing f...
This paper presents a frequentist regret analysis of Gaussian Process Thompson Sampling (GP-TS) using fractional posteriors, offering a u...
This paper presents a novel framework for detecting joint inflammation in rheumatoid arthritis using RGB images, addressing challenges li...
The paper presents CAIRO, a novel framework that separates the learning of ordering from scale in regression analysis, enhancing robustne...
This paper presents a method for high-accuracy log-concave sampling using stochastic queries, achieving improved efficiency in query comp...
This paper discusses a novel approach to audience expansion in a two-sided marketplace, focusing on high precision retrieval methods for ...
The paper presents the Scale Mixture EM (SM-EM) algorithm for optimizing machine learning losses, demonstrating significant performance i...
The paper introduces FMMD, a multimodal open peer review dataset from F1000Research, addressing limitations in current datasets by integr...
The paper introduces AD-Bench, a benchmark for evaluating Large Language Model (LLM) agents in real-world advertising analytics, highligh...
The paper presents a Hybrid TGN-SEAL model aimed at improving link prediction in dynamic graphs, particularly in sparse networks, by inte...
GeoEyes introduces a novel framework for enhancing visual understanding in ultra-high-resolution remote sensing imagery, addressing limit...
This article presents Spatial Expression-Aligned Learning (SEAL), a framework that integrates spatial transcriptomics with pathology mode...
MC$^2$Mark introduces a novel watermarking framework that ensures reliable embedding of long messages in generated text while maintaining...
This paper investigates the dual effects of iterative self-training in machine learning, focusing on the balance between denoising and si...
This article presents a novel approach to covariance estimation using computable Bernstein certificates, addressing challenges posed by h...
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