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Showing 351–375 of 464 papers

TitleStatusHype
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning—0
Can Theoretical Physics Research Benefit from Language Agents?—0
Causal-Copilot: An Autonomous Causal Analysis Agent—0
Causal Relational Learning—0
Causal Structural Learning from Time Series: A Convex Optimization Approach—0
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation—0
Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction—0
Conditional computation in neural networks: principles and research trends—0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints—0
Contributions of the Petabyte Scale Sequence Search Codeathon toward efforts to scale sequence-based searches on SRA—0
CriticAL: Critic Automation with Language Models—0
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers—0
CycleResearcher: Improving Automated Research via Automated Review—0
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints—0
Data-driven Discovery with Large Generative Models—0
Data Science for Social Good—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
Deep Learning Opacity in Scientific Discovery—0
Deep literature reviews: an application of fine-tuned language models to migration research—0
Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing—0
DeepROCK: Error-controlled interaction detection in deep neural networks—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies—0
Design of Turing Systems with Physics-Informed Neural Networks—0
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization—0
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