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Showing 351–400 of 464 papers

TitleStatusHype
GFlowNets for AI-Driven Scientific Discovery—0
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
Interpretable models for extrapolation in scientific machine learningCode0
FAIR AI Models in High Energy Physics—0
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
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
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities—0
Graph Value Iteration—0
Ab-initio quantum chemistry with neural-network wavefunctions—0
AI-coupled HPC Workflows—0
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics—0
Deep Learning Opacity in Scientific Discovery—0
A Computational Inflection for Scientific Discovery—0
To be or not to be an Integer? Encoding Variables for Mathematical Text—0
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement LearningCode0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Evaluating the Adversarial Robustness for Fourier Neural Operators—0
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain—0
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach—0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Rediscovering orbital mechanics with machine learning—0
AI Research Associate for Early-Stage Scientific Discovery—0
Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction—0
Reproducible, incremental representation learning with Rosetta VAE—0
Uniform-in-Phase-Space Data Selection with Iterative Normalizing FlowsCode0
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning—0
Simulation Intelligence: Towards a New Generation of Scientific Methods—0
Learning from learning machines: a new generation of AI technology to meet the needs of science—0
From Kepler to Newton: Explainable AI for Science—0
AbductionRules: Training Transformers to Explain Unexpected Inputs—0
Interpretable and Explainable Machine Learning for Materials Science and Chemistry—0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data—0
Applications and Techniques for Fast Machine Learning in Science—0
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