📊 Modeling - fischerj · Scour

A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity

journals.plos.org·

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

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Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

🕸️Neural Networks Academic

SLUUG Talk: Demystifying Large Language Models on Linux

🤖AI Code

github.com··DEV

Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization

🕸️Neural Networks Academic

Exploring the Design Space of Reward Backpropagation for Flow Matching

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Predictive Coding with Bayesian Priors via Proximal Gradients

🕸️Neural Networks Academic

A Theory on Flow Matching with Neural Networks

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Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

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Overcoming Rank Collapse in Feedback Alignment

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Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE

🕸️Neural Networks Academic

Second-Order Path Kernel Interpolation Formulas in Machine Learning

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Automated Pronunciation Evaluation for Korean Toddler Speech using Speech Diarization and Self-Supervised Learning

🕸️Neural Networks Academic

SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization

🔬Science Academic

Leveraging Soft Distributions of SSL-Derived Discrete Speech Tokens for Downstream Inference

🔤Language Models Academic

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

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Flatland: The Adventures of Gradient Descent with Large Step Sizes

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An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

🕸️Neural Networks Academic

Reinforcement Learning for Flow-Matching Policies with Density Transport

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Variational Proximal Policy Optimization

🕸️Neural Networks Academic

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