This course will cover a wide range of machine learning methods, both model-based and algorithmic.

The ETH Zurich Campus Heilbronn is excited to announce the inaugural edition of the Interdisciplinary School on Machine Learning and Artificial Intelligence for Science. This in-person event will take ...

The encoder employs stacked self-attention layers to capture spatial-temporal dependencies and thematic continuity, while the decoder leverages a two-stage attention mechanism combining multi-head ...

The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual information across ...

Our world-class researchers and talented graduates develop groundbreaking technology to protect and enhance people’s lives.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

This repository contains a Jupyter Notebook implementing a machine translation model using an encoder-decoder architecture with LSTM for translating English sentences to French. The model is trained ...