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Experimental Design

Papers

Showing 150 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
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model InternalsCode4
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM AgentsCode4
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersCode3
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
Attention is not not ExplanationCode3
OmniPred: Language Models as Universal RegressorsCode3
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemCode2
OpenBox: A Python Toolkit for Generalized Black-box OptimizationCode2
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Probing the limitations of multimodal language models for chemistry and materials researchCode2
Reviving The Classics: Active Reward Modeling in Large Language Model AlignmentCode2
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?Code1
Interventions, Where and How? Experimental Design for Causal Models at ScaleCode1
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured TextCode1
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)Code1
Conditional Image Generation by Conditioning Variational Auto-EncodersCode1
Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experimentsCode1
New Paradigms for Exploiting Parallel Experiments in Bayesian OptimizationCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
ExPT: Synthetic Pretraining for Few-Shot Experimental DesignCode1
Implicit Deep Adaptive Design: Policy-Based Experimental Design without LikelihoodsCode1
Active Task Disambiguation with LLMsCode1
Evaluating Multiview Object Consistency in Humans and Image ModelsCode1
Gemstones: A Model Suite for Multi-Faceted Scaling LawsCode1
Empirical evaluation of scoring functions for Bayesian network model selectionCode1
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media ForensicsCode1
Edge Proposal Sets for Link PredictionCode1
Emulation of physical processes with EmukitCode1
GeneDisco: A Benchmark for Experimental Design in Drug DiscoveryCode1
An Experimental Design Perspective on Model-Based Reinforcement LearningCode1
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning CourseCode1
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0Code1
Correct block-design experiments mitigate temporal correlation bias in EEG classificationCode1
A friendly introduction to triangular transportCode1
Autonomous Microscopy Experiments through Large Language Model AgentsCode1
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental DesignCode1
Active Learning for Optimal Intervention Design in Causal ModelsCode1
BINOCULARS for Efficient, Nonmyopic Sequential Experimental DesignCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative StudyCode1
Experimental design for MRI by greedy policy searchCode1
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental DesignCode1
Deep Local VolatilityCode1
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental DesignCode1
Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual NetworksCode1
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