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Experimental Design

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Showing 151–175 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
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