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Showing 301–350 of 464 papers

TitleStatusHype
Multi-Fidelity Active Learning with GFlowNetsCode2
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline MaterialsCode1
Towards Practical Federated Causal Structure LearningCode0
LGEM^+: a first-order logic framework for automated improvement of metabolic network models through abductionCode0
Using generative AI to investigate medical imagery models and datasets—0
Symbolic Regression via Control Variable Genetic ProgrammingCode0
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding—0
Assessing Exoplanet Habitability through Data-driven Approaches: A Comprehensive Literature Review—0
MolXPT: Wrapping Molecules with Text for Generative Pre-trainingCode0
Explaining dark matter halo density profiles with neural networks—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Quantifying the Benefit of Artificial Intelligence for Scientific Research—0
OKRidge: Scalable Optimal k-Sparse Ridge RegressionCode0
Scientists' Perspectives on the Potential for Generative AI in their Fields—0
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMsCode1
Large Language Models are Few-shot Publication Scoopers—0
Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational BiologyCode2
bAIoimage analysis: elevating the rate of scientific discovery -- as a community—0
Applications of Gaussian Processes at Extreme Lengthscales: From Molecules to Black HolesCode1
AI for Science: An Emerging Agenda—0
Online Symbolic Regression with Informative Query—0
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction—0
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points—0
Learning Symbolic Models for Graph-structured Physical Mechanism—0
GFlowNets for AI-Driven Scientific Discovery—0
Unifying Molecular and Textual Representations via Multi-task Language ModellingCode1
Causal Structural Learning from Time Series: A Convex Optimization Approach—0
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images—0
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate PredictionCode0
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning—0
Automated Gadget Discovery in ScienceCode0
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
Interpretable models for extrapolation in scientific machine learningCode0
FAIR AI Models in High Energy Physics—0
SRSD: Rethinking Datasets of Symbolic Regression for Scientific DiscoveryCode1
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts—0
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry—0
Design of Turing Systems with Physics-Informed Neural Networks—0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment—0
Simulation-Based Parallel Training—0
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network—0
Toward Human-AI Co-creation to Accelerate Material Discovery—0
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Data-Driven Computational Imaging for Scientific DiscoveryCode0
Neurosymbolic Programming for Science—0
Artificial Intelligence and Natural Language Processing and Understanding in Space: A Methodological Framework and Four ESA Case Studies—0
KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base ConstructionCode0
Explaining Patterns in Data with Language Models via Interpretable AutopromptingCode1
Selection by Prediction with Conformal p-valuesCode1
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