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Showing 151–200 of 464 papers

TitleStatusHype
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach—0
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
AI Research Associate for Early-Stage Scientific Discovery—0
Inferring physical laws by artificial intelligence based causal models—0
Interpretable and Explainable Machine Learning for Materials Science and Chemistry—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Active Inference AI Systems for Scientific Discovery—0
AI Idea Bench 2025: AI Research Idea Generation Benchmark—0
AbductionRules: Training Transformers to Explain Unexpected Inputs—0
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists—0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery—0
Image and Data Mining in Reticular Chemistry Using GPT-4V—0
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation—0
FAIR AI Models in High Energy Physics—0
Autonomous synthesis of metastable materials—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
Automating Exploratory Proteomics Research via Language Models—0
AI for Science: An Emerging Agenda—0
ACRE: Abstract Causal REasoning Beyond Covariation—0
Improving Chemical Understanding of LLMs via SMILES Parsing—0
Explaining dark matter halo density profiles with neural networks—0
Explainable AI needs formal notions of explanation correctness—0
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge—0
Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence—0
Evolvable Conditional Diffusion—0
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry—0
Evaluating the Adversarial Robustness for Fourier Neural Operators—0
Fast Generic Interaction Detection for Model Interpretability and Compression—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities—0
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space—0
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning—0
Foundation Models for Environmental Science: A Survey of Emerging Frontiers—0
Enabling real-time multi-messenger astrophysics discoveries with deep learning—0
bAIoimage analysis: elevating the rate of scientific discovery -- as a community—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Efficient nonmyopic batch active search—0
From Kepler to Newton: Explainable AI for Science—0
Efficient nonmyopic active search with applications in drug and materials discovery—0
A Computational Inflection for Scientific Discovery—0
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty—0
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups—0
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains—0
Generative AI Uses and Risks for Knowledge Workers in a Science Organization—0
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks—0
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers—0
Automated Explanation Selection for Scientific Discovery—0
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation—0
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