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Showing 101–125 of 464 papers

TitleStatusHype
HSG-12M: A Large-Scale Spatial Multigraph DatasetCode1
Applications of Gaussian Processes at Extreme Lengthscales: From Molecules to Black HolesCode1
GraphGPT: Graph Learning with Generative Pre-trained TransformersCode1
AbductionRules: Training Transformers to Explain Unexpected InputsCode1
Large Language Models for Scientific Synthesis, Inference and ExplanationCode1
Applications and Techniques for Fast Machine Learning in Science—0
Applications and Challenges of AI and Microscopy in Life Science Research: A Review—0
A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering—0
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving—0
Causal Structural Learning from Time Series: A Convex Optimization Approach—0
Causal Relational Learning—0
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning—0
Causal-Copilot: An Autonomous Causal Analysis Agent—0
Advancing the Scientific Frontier with Increasingly Autonomous Systems—0
A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Data-driven Discovery with Large Generative Models—0
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure—0
Can Theoretical Physics Research Benefit from Language Agents?—0
Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning—0
A Perspective on Symbolic Machine Learning in Physical Sciences—0
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning—0
An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences—0
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation—0
Accelerating Earth Science Discovery via Multi-Agent LLM Systems—0
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