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Machine Learning at EPFL

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Related lectures (50)

Physics-Informed Imaging Systems Log in to Mediaspace to watch this video

Explores physics-informed imaging systems, including lensless imaging, deep learning for imaging challenges, and the development of noise models for low-light videos.

Deep Learning: Dimensionality and Data Representation Log in to Mediaspace to watch this video

Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.

Graph Machine Learning Log in to Mediaspace to watch this video

Delves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.

Delineation: Techniques and Applications Log in to Mediaspace to watch this video

Explores techniques for delineation, including Hough transform, gradient orientation, and shape detection, emphasizing the importance of combining graph-based techniques and machine learning.

Transformer Architecture: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Interactive Lecture: Reinforcement Learning Log in to Mediaspace to watch this video

Explores advanced reinforcement learning topics, including policies, value functions, Bellman recursion, and on-policy TD control.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

Nonuniform Learnability and Structural Risk Minimization Log in to Mediaspace to watch this video

Explores nonuniform learnability, PAC theorems, and structural risk minimization in machine learning.

Deep Neural Networks Log in to Mediaspace to watch this video

Covers the back-propagation algorithm for deep neural networks and the importance of locality in CNN.

Deep Learning: Data, Models, and Challenges Log in to Mediaspace to watch this video

Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.

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