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Showing 351400 of 464 papers

TitleStatusHype
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning0
Can Theoretical Physics Research Benefit from Language Agents?0
Causal-Copilot: An Autonomous Causal Analysis Agent0
Causal Relational Learning0
Causal Structural Learning from Time Series: A Convex Optimization Approach0
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation0
Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction0
Conditional computation in neural networks: principles and research trends0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints0
Contributions of the Petabyte Scale Sequence Search Codeathon toward efforts to scale sequence-based searches on SRA0
CriticAL: Critic Automation with Language Models0
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers0
CycleResearcher: Improving Automated Research via Automated Review0
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints0
Data-driven Discovery with Large Generative Models0
Data Science for Social Good0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era0
Deep Learning Opacity in Scientific Discovery0
Deep literature reviews: an application of fine-tuned language models to migration research0
Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing0
DeepROCK: Error-controlled interaction detection in deep neural networks0
DeepSNR: A deep learning foundation for offline gravitational wave detection0
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies0
Design of Turing Systems with Physics-Informed Neural Networks0
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models0
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation0
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains0
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups0
Efficient nonmyopic active search with applications in drug and materials discovery0
Efficient nonmyopic batch active search0
Enabling real-time multi-messenger astrophysics discoveries with deep learning0
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning0
Evaluating the Adversarial Robustness for Fourier Neural Operators0
Evolvable Conditional Diffusion0
Explainable AI needs formal notions of explanation correctness0
Explaining dark matter halo density profiles with neural networks0
Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems0
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry0
FAIR AI Models in High Energy Physics0
Fast Generic Interaction Detection for Model Interpretability and Compression0
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation0
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures0
Foundation Models for Environmental Science: A Survey of Emerging Frontiers0
From Kepler to Newton: Explainable AI for Science0
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models0
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach0
Generative Active Learning for the Search of Small-molecule Protein Binders0
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