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Showing 426–450 of 688 papers

TitleStatusHype
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
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks—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
In-Field Gyroscope Autocalibration with Iterative Attitude Estimation—0
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models—0
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models—0
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental DesignCode1
Conditional Image Generation by Conditioning Variational Auto-EncodersCode1
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference—0
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study—0
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach—0
Learning Models of Model Predictive Controllers using Gradient Data—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers—0
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem—0
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments—0
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning—0
From Tinkering to Engineering: Measurements in Tensorflow Playground—0
Maximizing Information Gain for the Characterization of Biomolecular Circuits—0
Learning Collision-free Latent Space for Bayesian Optimization—0
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