Yann Cauchepin

26. June 2024

Genetic algorithms

Cutting-edge metaheuristic combining selection, crossover and mutation to achieve optimal solutions

09. June 2024

Integrated gradients

Interpreting black box of deep neural networks

09. June 2024

Kolmogorov Arnold networks

Interpretation-oriented deep neural networks focused on activation functions

09. June 2024

Simulated annealing algorithms

Metallurgy-based heuristic combining local and global optimization

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Convolutional neural networks

Extracting local features in multiple dimensions

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Cross validation

Improving the robustness of model evaluations

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Deep neural networks

Fondamentals to understand deep neural networks

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Extreme learning machine

Simple neural network enabling good generalization through randomness

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Introduction to artificial intelligence

An overview of artifical intelligence

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Introduction to computer vision

An overview of computer vision

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Introduction to natural language processing

An overview of natural language processing

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Introduction to reinforcement learning

An overview of reinforcement learning

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Mutlilayer perceptron networks

One of the most commonly used deep neural network

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Predicted conformal intervals

Providing valid uncertainty quantification based on past predictions errors

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Recurrent neural networks

Extracting temporal features in multiple dimensions