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Showing 251–300 of 464 papers

TitleStatusHype
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical DiscoveryCode0
The Use of AI-Robotic Systems for Scientific Discovery—0
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars—0
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints—0
Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence—0
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers—0
On the Robustness of Global Feature Effect ExplanationsCode0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
Open Problem: Active Representation Learning—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
Meta-Designing Quantum Experiments with Language Models—0
Smoke and Mirrors in Causal Downstream TasksCode0
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs—0
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation—0
"Turing Tests" For An AI Scientist—0
Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation—0
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network modelsCode0
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningCode0
Opportunities for machine learning in scientific discovery—0
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving—0
Generative Active Learning for the Search of Small-molecule Protein Binders—0
Why Tabular Foundation Models Should Be a Research Priority—0
Integrating Chemistry Knowledge in Large Language Models via Prompt EngineeringCode0
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form EquationsCode0
Conditional computation in neural networks: principles and research trends—0
Pruning neural network models for gene regulatory dynamics using data and domain knowledgeCode0
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling—0
Data-driven Discovery with Large Generative Models—0
Quantitative causality, causality-guided scientific discovery, and causal machine learning—0
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum OpticsCode0
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data—0
Multi-Fidelity Methods for Optimization: A Survey—0
Retrieve to Explain: Evidence-driven Predictions with Language ModelsCode0
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision—0
Institutional Platform for Secure Self-Service Large Language Model Exploration—0
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical SciencesCode0
PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge—0
Interactive Mars Image Content-Based Search with Interpretable Machine Learning—0
Closed-Form Interpretation of Neural Network Classifiers with Symbolic GradientsCode0
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective—0
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure—0
Beyond Regrets: Geometric Metrics for Bayesian Optimization—0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
Vertical Symbolic Regression—0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
Image and Data Mining in Reticular Chemistry Using GPT-4V—0
AI Competitions and Benchmarks: The life cycle of challenges and benchmarks—0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
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