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Experimental Design

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Showing 151–200 of 688 papers

TitleStatusHype
Seesaw Experimentation: A/B Tests with Spillovers—0
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development—0
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning—0
Off-Policy Selection for Initiating Human-Centric Experimental Design—0
Optimizing the role of human evaluation in LLM-based spoken document summarization systems—0
Interpretable Multimodal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions—0
Optimising Neural Fractional Differential Equations for Performance and EfficiencyCode0
Experimental Design Using Interlacing Polynomials—0
Bayesian Experimental Design via Contrastive DiffusionsCode0
Optimal Adaptive Experimental Design for Estimating Treatment Effect—0
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design—0
"Why" Has the Least Side Effect on Model Editing—0
Implementing a Nordic-Baltic Federated Health Data Network: a case report—0
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design—0
Hypothesizing Missing Causal Variables with LLMsCode0
AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
Sparse Regression for Discovery of Constitutive Models from Oscillatory Shear Measurements—0
Preference-Optimized Pareto Set Learning for Blackbox OptimizationCode0
Active learning of digenic functions with boolean matrix logic programming—0
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental DesignCode0
Linear combinations of latents in generative models: subspaces and beyondCode0
eGAD! double descent is explained by Generalized Aliasing Decomposition—0
All the single cells: single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists—0
A Reproducible Analysis of Sequential Recommender SystemsCode0
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions—0
Beta regression mixed model applied to sensory analysis—0
Efficient Approximate Methods for Design of Experiments for Copolymer Engineering—0
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs—0
Decoding Digital Influence: The Role of Social Media Behavior in Scientific Stratification Through Logistic Attribution Method—0
AI AI Bias: Large Language Models Favor Their Own Generated ContentCode0
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design—0
Large Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models—0
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer—0
Deep Optimal Experimental Design for Parameter Estimation Problems—0
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity AnalysisCode0
Model-Based Inference and Experimental Design for Interference Using Partial Network Data—0
Adaptive Experimentation When You Can't Experiment—0
Evaluation of Large Language Models: STEM education and Gender Stereotypes—0
Graphical Perception of Saliency-based Model Explanations—0
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook—0
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery—0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
Bayesian Adaptive Calibration and Optimal DesignCode0
Adaptive Online Experimental Design for Causal Discovery—0
An adaptive approach to Bayesian Optimization with switching costs—0
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network modelsCode0
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