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Showing 301–350 of 464 papers

TitleStatusHype
Uncertainty in Additive Feature Attribution methods—0
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
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
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
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity—0
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies—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
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material ResearchCode0
Serendipity in Science—0
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysicsCode0
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
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
Large Language Models are Few-shot Publication Scoopers—0
bAIoimage analysis: elevating the rate of scientific discovery -- as a community—0
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
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