Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

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Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

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Fair Decentralized Learning

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

A generalized machine learning framework to estimate fatigue life across materials with minimal data

MCMC: Bridging Rendering, Optimization and Generative AI

Networks with correlated edge processes

Directional sensitivity of cortical neurons towards TMS induced electric fields

Sparsely Observed Functional Time Series: Theory and Applications

Adaptive hot water production based on Supervised Learning

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Probabilistic approach for fatigue evaluation of welded connections with application to road steel bridges

A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents

Improved Similarity Measures for Small Sets of Spike Trains

Model-fitting in the presence of outliers

Predicting single spikes and spike patterns with the Hindmarsh–Rose model