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Showing 151–200 of 464 papers

TitleStatusHype
OKRidge: Scalable Optimal k-Sparse Ridge RegressionCode0
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular LibrariesCode0
Automated Gadget Discovery in ScienceCode0
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentationCode0
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking TechniqueCode0
MolXPT: Wrapping Molecules with Text for Generative Pre-trainingCode0
Dynamical Kinds and their DiscoveryCode0
DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model AgentsCode0
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials ScienceCode0
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical SciencesCode0
μ-Bench: A Vision-Language Benchmark for Microscopy UnderstandingCode0
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental FeedbackCode0
Discovering physical concepts with neural networksCode0
Differentiable Learning Under TriageCode0
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciencesCode0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Leveraging large language models for nano synthesis mechanism explanation: solid foundations or mere conjectures?Code0
Physics-tailored machine learning reveals unexpected physics in dusty plasmasCode0
LGEM^+: a first-order logic framework for automated improvement of metabolic network models through abductionCode0
A Survey of Deep Learning for Scientific DiscoveryCode0
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum ExperimentsCode0
Pruning neural network models for gene regulatory dynamics using data and domain knowledgeCode0
KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base ConstructionCode0
OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific DiscoveryCode0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Interpretable models for extrapolation in scientific machine learningCode0
InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical DataCode0
Integrating Chemistry Knowledge in Large Language Models via Prompt EngineeringCode0
Hypothesizing Missing Causal Variables with LLMsCode0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement LearningCode0
IdeaBench: Benchmarking Large Language Models for Research Idea GenerationCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
Graphine: A Dataset for Graph-aware Terminology Definition GenerationCode0
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?Code0
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific DataCode0
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsCode0
From Reproduction to Replication: Evaluating Research Agents with Progressive Code MaskingCode0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Conditional computation in neural networks: principles and research trends—0
Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction—0
Applications and Techniques for Fast Machine Learning in Science—0
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation—0
Applications and Challenges of AI and Microscopy in Life Science Research: A Review—0
A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering—0
A Perspective on Symbolic Machine Learning in Physical Sciences—0
Causal Structural Learning from Time Series: A Convex Optimization Approach—0
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