Data analysis, statistics, and data engineering
Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...
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...
![[2602.21650] PPCR-IM: A System for Multi-layer DAG-based Public Policy Consequence Reasoning and Social Indicator Mapping](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The article presents PPCR-IM, a system for multi-layer DAG-based reasoning in public policy, enhancing the mapping of social indicators a...
This article explores the challenges of retrieving public service information in low-resource environments, focusing on food pantry acces...
This paper presents a method for enhancing multilingual embeddings through multi-way parallel text alignment, demonstrating improved cros...
This article evaluates the adversarial robustness of deep learning models for thyroid nodule segmentation in ultrasound images, highlight...
ECHOSAT introduces a global tree height map that captures temporal forest dynamics, enhancing carbon monitoring and disturbance assessmen...
The paper discusses how AI is transforming enterprise structures by reducing coordination costs, leading to the emergence of the 'Headles...
The paper presents FedVG, a novel gradient-guided aggregation framework for federated learning that enhances model performance by address...
The paper presents VCDF, a framework designed to enhance the robustness of time series causal discovery methods by evaluating the stabili...
The paper presents a novel framework for synthesizing controlled video representations of routine and rare operating room events, address...
The paper presents a novel approach to single-shot coherent imaging using overlap-free ptychography, enhancing throughput and reducing do...
The paper introduces Group Orthogonalized Policy Optimization (GOPO), a novel algorithm for aligning large language models using Hilbert ...
This paper presents a novel method for traffic prediction using Urban Vibrancy embeddings derived from real-time population data, enhanci...
This article presents GraSPer, a novel framework designed to enhance personalized text generation for users with sparse data, addressing ...
The paper introduces EPSVec, a novel method for generating synthetic data using dataset vectors, enhancing privacy and efficiency in mach...
The paper introduces Applied Sociolinguistic AI for Community Development (ASA-CD), a paradigm that leverages AI and linguistics to addre...
This article presents a study on enhancing EQ-5D classification using biomedical entity-enriched pre-trained language models and multiple...
The paper introduces ProactiveMobile, a benchmark aimed at enhancing proactive intelligence in mobile devices, addressing the limitations...
This article provides a comprehensive overview of soft set theory and its various extensions, highlighting key definitions, constructions...
The paper presents PANGAEA-GPT, a hierarchical multi-agent system designed to enhance autonomous data discovery in geoscientific archives...
The Reddit discussion seeks insights on Neural Tangent Kernel (NTK) in relation to lazy and rich learning regimes, focusing on practical ...
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