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Experimental Design

Papers

Showing 125 of 688 papers

TitleStatusHype
Better than classical? The subtle art of benchmarking quantum machine learning modelsCode7
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in MedicineCode5
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM AgentsCode4
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model InternalsCode4
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
OmniPred: Language Models as Universal RegressorsCode3
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersCode3
Attention is not not ExplanationCode3
Probing the limitations of multimodal language models for chemistry and materials researchCode2
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemCode2
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
Reviving The Classics: Active Reward Modeling in Large Language Model AlignmentCode2
OpenBox: A Python Toolkit for Generalized Black-box OptimizationCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design FrameworkCode1
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental DesignCode1
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on UncertaintyCode1
CeBed: A Benchmark for Deep Data-Driven OFDM Channel EstimationCode1
An Experimental Design Perspective on Model-Based Reinforcement LearningCode1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
Active Learning for Optimal Intervention Design in Causal ModelsCode1
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative StudyCode1
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