🎲 Bayesian Statistics - paulm · Scour

Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification

📊data science Academic

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A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening

📊data science Academic

Connectivity of Districting Metagraphs

🗺maps Academic

Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

🤖Machine Learning Academic

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

🤖Machine Learning Academic

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence

📊statistics Academic

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo

📊R Programming Academic

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

🤖Machine Learning Academic

Variational Proximal Policy Optimization

🤖Machine Learning Academic

Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study

📊R Programming Academic

Discrete-symmetry-adapted Markov chain Monte Carlo for the electro-elasticity of polymers: chain taut, collapse, and order

📊statistics Academic

Semiparametric Bayesian Difference-in-Differences

🤖Machine Learning Academic

Disentanglement with Holographic Reduced Representations

📊data science Academic

Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems

🤖Machine Learning Academic

Variational Bayes Estimation for Affine-Precoded Superimposed Pilots in Partially Connected Dual-Wideband Tera-Hertz MU-MIMO Systems

🤖Machine Learning Academic

A Unifying Lens on Reward Uncertainty in RLHF

🤖Machine Learning Academic

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

🤖Machine Learning Academic

Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

🤖Machine Learning Academic

Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory

🤖Machine Learning Academic

Geometry-Structured Channel Reconstruction for Conventional and Fluid Antenna Systems: Bayesian Inference and Fundamental Limits

🤖Machine Learning Academic

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