SOTAVerified

Experimental Design

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 688 papers

TitleStatusHype
Active Learning-Based Optimization of Scientific Experimental Design—0
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review—0
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design—0
Model predictive control guided with optimal experimental design for pulse-based parallel cultivation—0
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing—0
Improving gearshift controllers for electric vehicles with reinforcement learning—0
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls—0
Eliciting and Distinguishing Between Weak and Incomplete Preferences: Theory, Experiment and Computation—0
Temporal Effects on Pre-trained Models for Language Processing TasksCode0
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network—0
Nearly Optimal Algorithms for Level Set Estimation—0
Bayesian Optimal Experimental Design for Simulator Models of Cognition—0
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning—0
Sensing Cox Processes via Posterior Sampling and Positive BasesCode0
A-Optimal Active LearningCode0
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential DiagnosisCode0
From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust—0
AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization—0
Design and Evaluation for Robust Continual Learning—0
An Experimental Design Perspective on Exploration in Reinforcement Learning—0
Treatment Effects in Market EquilibriumCode0
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsCode0
Asymptotic Causal Inference—0
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling—0
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits—0
Importance sampling based active learning for parametric seismic fragility curve estimation—0
AdjointNet: Constraining machine learning models with physics-based codes—0
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors—0
An Experimental-Design Perspective on Population Genetic Variation—0
Active Learning for Saddle Point Calculation—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs—0
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive ManufacturingCode0
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids—0
Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized TrialsCode0
Learning from an Exploring Demonstrator: Optimal Reward Estimation for BanditsCode0
A Practical & Unified Notation for Information-Theoretic Quantities in ML—0
Retractions: Updating from Complex Information—0
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments—0
Active Learning of Continuous-time Bayesian Networks through Interventions—0
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure LearningCode0
Improved Algorithms for Agnostic Pool-based Active Classification—0
High-Dimensional Experimental Design and Kernel Bandits—0
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower BoundsCode0
A Birds-eye (Re)View of Acid-suppression Drugs, COVID-19, and the Highly Variable Literature—0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks—0
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC—0
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures—0
Show:102550
← PrevPage 9 of 14Next →

No leaderboard results yet.