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These lecture notes are intended to give a modest impulse to anyone willing to start or pursue a journey into the theory of Vertex Algebras by reading one of Kac's or Lepowsky-Li's books. Therefore, the primary goal is to provide required…

Quantum Algebra · Mathematics 2008-11-11 Christophe Nozaradan

These are the lecture notes that accompanied the course of the same name that I taught at the Eindhoven University of Technology from 2021 to 2023. The course is intended as an introduction to neural networks for mathematics students at the…

Machine Learning · Computer Science 2024-03-11 Bart M. N. Smets

This is a write-up of the lectures given by the author during the Master Class "Categorification" at {\AA}rhus University, Denmark in October 2010.

Representation Theory · Mathematics 2011-09-08 Volodymyr Mazorchuk

These notes, based on a graduate course I gave at Hamburg University in 2003, are intended to students having basic knowledges of differential geometry. Their main purpose is to provide a quick and accessible introduction to different…

Differential Geometry · Mathematics 2007-05-23 Andrei Moroianu

Lecture notes on selected topics in the theory of gravitation.

General Relativity and Quantum Cosmology · Physics 2017-03-16 Pietro Menotti

The notes contain a streamlined account on stability of univariate polynomials and related problems

Classical Analysis and ODEs · Mathematics 2011-04-15 Yury S. Barkovsky

Lecture Notes. Minicourse given at the workshop "Activated Random Walks, DLA, and related topics" at IM\'eRA-Marseille, March 2015.

Probability · Mathematics 2015-07-16 Leonardo T. Rolla

Lecture notes on quantum machine learning for computer scientists.

Quantum Physics · Physics 2025-12-08 Bojan Žunkovič

These are notes from a three-lecture mini-course on free probability given at MSRI in the Fall of 2010 and repeated a year later at Harvard. The lectures were aimed at mathematicians and mathematical physicists working in combinatorics,…

Combinatorics · Mathematics 2012-05-11 Jonathan Novak , Michael LaCroix

In these six lectures, we examine what can be learnt about the behavior of multi-layer neural networks from the analysis of linear models. We first recall the correspondence between neural networks and linear models via the so-called lazy…

Machine Learning · Statistics 2023-08-28 Theodor Misiakiewicz , Andrea Montanari

This is an updated version of the lectures notes for a course on condensed mathematics taught in the summer term 2019 at the University of Bonn. The material presented is joint work with Dustin Clausen. This is intended as a stable citable…

Number Theory · Mathematics 2026-05-06 Peter Scholze

These are lecture notes mainly aimed at graduate students on selected aspects of generalized geometry: in particular generalized complex and Kaehler structures and generalized holomorphic bundles. They are based on lectures given in March…

Differential Geometry · Mathematics 2010-08-06 Nigel Hitchin

Randomized linear algebra (RLA) algorithms are a modern class of numerical linear algebra techniques that play an essential role in scientific computing and machine learning, with broad and growing adoption. However, their discovery remains…

Machine Learning · Computer Science 2026-05-19 Jinglong Xiong , Xiaotian Liu , Ruoxin Wang , Zihang Liu , Yefan Zhou , Yujun Yan , Yaoqing Yang

These lecture notes have been converted to a book titled Network Information Theory published recently by Cambridge University Press. This book provides a significantly expanded exposition of the material in the lecture notes as well as…

Information Theory · Computer Science 2011-12-15 Abbas El Gamal , Young-Han Kim

These are lecture notes written at the University of Zurich during spring 2014 and spring 2015. The first part of the notes gives an introduction to probability theory. It explains the notion of random events and random variables,…

Probability · Mathematics 2020-11-02 Nima Moshayedi

This short course offers a new perspective on randomized algorithms for matrix computations. It explores the distinct ways in which probability can be used to design algorithms for numerical linear algebra. Each design template is…

Numerical Analysis · Mathematics 2025-09-23 Anastasia Kireeva , Joel A. Tropp

This paper presents teaching materials, particularly assignments and ideas for classroom activities, from a new course on large language models (LLMs) taught at Charles University. The assignments include experiments with LLM inference for…

Computation and Language · Computer Science 2024-07-30 Jindřich Helcl , Zdeněk Kasner , Ondřej Dušek , Tomasz Limisiewicz , Dominik Macháček , Tomáš Musil , Jindřich Libovický

These lecture notes focus on the recent advancements in neural information retrieval, with particular emphasis on the systems and models exploiting transformer networks. These networks, originally proposed by Google in 2017, have seen a…

Information Retrieval · Computer Science 2022-09-13 Nicola Tonellotto

These lecture notes are an expanded write-up of my short lecture series "Noncommutative Resolutions" given to the MSRI Graduate Student Workshop "Noncommutative Algebraic Geometry" during June 2012. The notes include five chapters, an…

Representation Theory · Mathematics 2014-09-30 M. Wemyss

This in an introduction to random matrix theory, giving an impression of some of the most important aspects of this modern subject. In particular, it covers the basic combinatorial and analytic theory around Wigner's semicircle law,…

Probability · Mathematics 2020-09-14 Roland Speicher