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Showing 426–450 of 688 papers

TitleStatusHype
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
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