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Showing 251–300 of 464 papers

TitleStatusHype
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
GraphGPT: Graph Learning with Generative Pre-trained TransformersCode1
Deep Generative Symbolic RegressionCode1
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
A Transformer Model for Symbolic Regression towards Scientific DiscoveryCode1
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
Uncertainty in Additive Feature Attribution methods—0
Machine-Guided Discovery of a Real-World Rogue Wave ModelCode1
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis—0
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4—0
Large Language Models are Zero Shot Hypothesis ProposersCode1
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational AutoencoderCode1
Data Science for Social Good—0
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations—0
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge—0
Large-scale Foundation Models and Generative AI for BigData Neuroscience—0
Sum-of-Parts: Faithful Attributions for Groups of FeaturesCode0
Large Language Models for Scientific Synthesis, Inference and ExplanationCode1
Transformers and Large Language Models for Chemistry and Drug Discovery—0
Physics-tailored machine learning reveals unexpected physics in dusty plasmasCode0
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators—0
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies—0
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity—0
Pre-Training and Fine-Tuning Generative Flow Networks—0
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities—0
Neural Operators for Accelerating Scientific Simulations and Design—0
DeepROCK: Error-controlled interaction detection in deep neural networks—0
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning—0
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains—0
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum ExperimentsCode0
Inferring physical laws by artificial intelligence based causal models—0
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers—0
Genomic reproducibility in the bioinformatics era—0
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI HilbertCode1
Towards Lightweight Data Integration using Multi-workflow Provenance and Data ObservabilityCode1
Serendipity in Science—0
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysicsCode0
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material ResearchCode0
Constructing Custom Thermodynamics Using Deep LearningCode1
Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI—0
Towards Generalist Biomedical AI—0
Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge—0
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence—0
Better Research Software Tools to Elevate the Rate of Scientific Discovery -- or why we need to invest in research software engineering—0
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