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Experimental Design

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Showing 51–100 of 688 papers

TitleStatusHype
Distillation Scaling Laws—0
Are Expressions for Music Emotions the Same Across Cultures?—0
Find Central Dogma Again: Leveraging Multilingual Transfer in Large Language Models—0
Gemstones: A Model Suite for Multi-Faceted Scaling LawsCode1
t-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing—0
Active Task Disambiguation with LLMsCode1
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
Reviving The Classics: Active Reward Modeling in Large Language Model AlignmentCode2
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology—0
Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation—0
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions—0
Informativity Conditions for Multiple Signals: Properties, Experimental Design, and ApplicationsCode0
Resource Allocation under the Latin Square Constraint—0
Optimizing Experiments for Accurate Battery Circuit Parameters Estimation: Reduction and Adjustment of Frequency Set Used in Electrochemical Impedance Spectroscopy—0
Exploring a Datasets Statistical Effect Size Impact on Model Performance, and Data Sample-Size Sufficiency—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables—0
Multi-Scenario Reasoning: Unlocking Cognitive Autonomy in Humanoid Robots for Multimodal Understanding—0
Comprehensive Analysis and Experimental Design of High-Gain DC-DC Boost Converter Topologies—0
Autonomous Microscopy Experiments through Large Language Model AgentsCode1
A simple DNN regression for the chemical composition in essential oil—0
Probabilities-Informed Machine Learning—0
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized ExperimentsCode0
From Intention To Implementation: Automating Biomedical Research via LLMs—0
What You See Is Not Always What You Get: An Empirical Study of Code Comprehension by Large Language Models—0
Non-Myopic Multi-Objective Bayesian OptimizationCode0
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler—0
Measuring Consumer Sensitivity to Audio Advertising: A Long-Run Field Experiment on Pandora Internet Radio—0
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Probing the limitations of multimodal language models for chemistry and materials researchCode2
Modeling the Modeler: A Normative Theory of Experimental Design—0
Modeling human decomposition: a Bayesian approach—0
Expected Information Gain Estimation via Density Approximations: Sample Allocation and Dimension Reduction—0
An information-matching approach to optimal experimental design and active learning—0
Seesaw Experimentation: A/B Tests with Spillovers—0
Amortized Bayesian Experimental Design for Decision-MakingCode0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models—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
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM AgentsCode4
Experimental Design Using Interlacing Polynomials—0
Bayesian Experimental Design via Contrastive DiffusionsCode0
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
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