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Showing 351–400 of 464 papers

TitleStatusHype
Why Tabular Foundation Models Should Be a Research Priority—0
Low-Rank Adaptation for Foundation Models: A Comprehensive Review—0
Meta-Designing Quantum Experiments with Language Models—0
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?—0
Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony—0
Multi-Fidelity Methods for Optimization: A Survey—0
NatureLM: Deciphering the Language of Nature for Scientific Discovery—0
Neural Operators for Accelerating Scientific Simulations and Design—0
NeuroStorm: Accelerating Brain Science Discovery in the Cloud—0
Neurosymbolic Programming for Science—0
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation—0
OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data—0
Online Symbolic Regression with Informative Query—0
On the definition and importance of interpretability in scientific machine learning—0
Open Problem: Active Representation Learning—0
Opportunities for machine learning in scientific discovery—0
PalimpChat: Declarative and Interactive AI analytics—0
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment—0
PersonaFlow: Boosting Research Ideation with LLM-Simulated Expert Personas—0
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising—0
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles—0
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes—0
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics—0
Post-hoc Interpretability Illumination for Scientific Interaction Discovery—0
Pre-Training and Fine-Tuning Generative Flow Networks—0
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding—0
Probabilistic Dimensionality Reduction via Structure Learning—0
PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge—0
Quantifying the Benefit of Artificial Intelligence for Scientific Research—0
Quantitative causality, causality-guided scientific discovery, and causal machine learning—0
Reasoning with Natural Language Explanations—0
LGEM^+: a first-order logic framework for automated improvement of metabolic network models through abductionCode0
Leveraging large language models for nano synthesis mechanism explanation: solid foundations or mere conjectures?Code0
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciencesCode0
Physics-tailored machine learning reveals unexpected physics in dusty plasmasCode0
KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base ConstructionCode0
Smoke and Mirrors in Causal Downstream TasksCode0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials ScienceCode0
μ-Bench: A Vision-Language Benchmark for Microscopy UnderstandingCode0
Unsupervised Discovery of Formulas for Mathematical ConstantsCode0
Interpretable models for extrapolation in scientific machine learningCode0
InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical DataCode0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Integrating Chemistry Knowledge in Large Language Models via Prompt EngineeringCode0
IdeaBench: Benchmarking Large Language Models for Research Idea GenerationCode0
MolXPT: Wrapping Molecules with Text for Generative Pre-trainingCode0
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental FeedbackCode0
Hypothesizing Missing Causal Variables with LLMsCode0
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