gsplat: An Open-Source Library for Gaussian Splatting

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Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

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Reframing rights of nature in law through Indigenous ecological knowledge: insights from an adivasi community of India

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Navigating the capstone landscape: balancing pedagogy and practicality in environmental studies and sciences

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Accelerating optimization over the space of probability measures

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Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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From terrestrialisation to disturbance: long-term trajectories of a fen ecosystem and its conservation implications in the Xistral Mountains, NW Iberia

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Short‐term effects of wildlife rehabilitation disappear over time in the wild: A case study on Spanish imperial eagles

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Exploring Pre-service EFL Teachers’ Perceptions of AI-Generated Feedback and Teacher Feedforward in Argumentative Writing: A Process-Genre Perspective

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Psychometric Properties of the Objective Structured Video Examination (OSVE) in the Assessment of Mental Health Literacy Skills of University Students

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Honey, I Shrunk the Hypothesis Space (Through Logical Preprocessing)

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Orchestrated intelligence: an adaptive multi-agent architecture for high-frequency options risk management

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A model for music emotion recognition and aesthetic education effect evaluation based on deep learning and multimodal data

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Research on fashion brand narrative generation and personalized communication strategy based on knowledge graph and LLM

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Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

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Research on cross-border enterprise knowledge sharing mechanism based on federated graph neural network and differential privacy collaboration

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Hybrid deep learning metaheuristic ensemble framework for enhanced COVID-19 classification using ResNet and particle swarm optimization

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Integrating gene expression and proteomics for breast cancer biomarker prediction through a deep learning framework with SHAP-based explainability

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Application of multimodal machine learning in building ecological assessment

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