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Experimental Design

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Showing 101–150 of 688 papers

TitleStatusHype
Detecting Malicious AI Agents Through Simulated Interactions—0
Extensions of regret-minimization algorithm for optimal design—0
Kernel Learning Assisted Synthesis Condition Exploration for Ternary SpinelCode0
Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
How causal perspectives can inform problems in computational neuroscienceCode0
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality—0
PIED: Physics-Informed Experimental Design for Inverse ProblemsCode0
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental DesignCode0
Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control—0
Can Large Language Models Help Experimental Design for Causal Discovery?—0
Stronger Neyman Regret Guarantees for Adaptive Experimental DesignCode0
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge—0
Multilevel classification framework for breast cancer cell selection and its integration with advanced disease models—0
Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control—0
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research—0
Prioritized Ranking Experimental Design Using Recommender Systems in Two-Sided Platforms—0
Are Expressions for Music Emotions the Same Across Cultures?—0
Distillation Scaling Laws—0
Find Central Dogma Again: Leveraging Multilingual Transfer in Large Language Models—0
t-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing—0
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
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
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
Amortized Bayesian Experimental Design for Decision-MakingCode0
Seesaw Experimentation: A/B Tests with Spillovers—0
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