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The purpose of these lecture notes is to provide readers, who have some mathematical background but little or no exposure to quantum mechanics and quantum computation, with enough material to begin reading the research literature in quantum…

Quantum Physics · Physics 2007-05-23 Samuel J. Lomonaco , jr

This work in progress aims to provide a unified introduction to statistical learning, building up slowly from classical models like the GMM and HMM to modern neural networks like the VAE and diffusion models. There are today many internet…

Machine Learning · Computer Science 2025-07-31 Joseph G. Makin

The recent progresses in Machine Learning opened the door to actual applications of learning algorithms but also to new research directions both in the field of Machine Learning directly and, at the edges with other disciplines. The case…

Disordered Systems and Neural Networks · Physics 2023-07-17 Aurélien Decelle

These are extended notes for my lectures at the workshop ``Reconstructing the Gravitational Hologram'' held at Galileo-Galilei Institute, Florence, in June 2022.

High Energy Physics - Theory · Physics 2025-03-10 Stefan Hollands

My ten-week Massive Open Online Course "Statistical Mechanics: Algorithms and Computations", in early 2014, focused on subjects such as Monte Carlo sampling, molecular dynamics, transition phases in hard-sphere liquids, simulated annealing,…

Physics Education · Physics 2018-09-13 Werner Krauth

This special issue brings together eight papers from experts of communities which often have been perceived as different once: bibliometrics, scientometrics and informetrics on the one side and information retrieval on the other. The idea…

Information Retrieval · Computer Science 2019-01-15 Philipp Mayr , Andrea Scharnhorst

This is the Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, which was held in Washington, DC, July 9-11, 1993

Artificial Intelligence · Computer Science 2013-04-16 David Heckerman , E. Mamdani

This is an alternative version of the course notes in chao-dyn/9407003. The previous version is based on measuring the size of lisp s-expressions. This version is based on measuring the size of what I call lisp m-expressions, which are lisp…

chao-dyn · Physics 2008-02-03 G. J. Chaitin

The series of workshops on New Partial-Wave Analysis Tools for Next-Generation Hadron Spectroscopy Experiments was initiated with the ATHOS 2012 meeting, which took place in Camogli, Italy, June 20-22, 2012. It was followed by ATHOS 2013 in…

This is the Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, which was held on Catalina Island, CA August 14-18 2012.

Artificial Intelligence · Computer Science 2014-08-29 Nando de Freitas , Kevin Murphy

The workshop is affiliated with 33nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024) August 26~30, 2023 / Pasadena, CA, USA. It is designed as a half-day event, extending over four hours from 9:00 to…

Robotics · Computer Science 2024-10-14 Yuchong Zhang , Elmira Yadollahi , Yong Ma , Di Fu , Iolanda Leite , Danica Kragic

These notes are from a series of lectures given at the Universidad de Los Andes in Bogot\'a, Colombia on some topics of current interest in quantum information. While they aim to be self-contained, they are necessarily incomplete and…

Quantum Physics · Physics 2016-04-08 Fernando G. S. L. Brandao , Matthias Christandl , Aram W. Harrow , Michael Walter

This chapter is based on lectures on Randomized Numerical Linear Algebra from the 2016 Park City Mathematics Institute summer school on The Mathematics of Data.

Data Structures and Algorithms · Computer Science 2017-12-27 Petros Drineas , Michael W. Mahoney

In this short communication it is discussed the relation between disentangled states and algorithmic information theory aiming to construct an irreducible sentence whose length increases in a non-polynomial way when the number of qubits…

Computational Complexity · Computer Science 2007-07-13 Rubens Viana Ramos

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University of California, Berkeley, in Berkeley,…

Machine Learning · Computer Science 2025-11-05 Emily Alsentzer , Marie-Laure Charpignon , Bill Chen , Niharika D'Souza , Jason Fries , Yixing Jiang , Aparajita Kashyap , Chanwoo Kim , Simon Lee , Aishwarya Mandyam , Ashery Mbilinyi , Nikita Mehandru , Nitish Nagesh , Brighton Nuwagira , Emma Pierson , Arvind Pillai , Akane Sano , Tanveer Syeda-Mahmood , Shashank Yadav , Elias Adhanom , Muhammad Umar Afza , Amelia Archer , Suhana Bedi , Vasiliki Bikia , Trenton Chang , George H. Chen , Winston Chen , Erica Chiang , Edward Choi , Octavia Ciora , Paz Dozie-Nnamah , Shaza Elsharief , Matthew Engelhard , Ali Eshragh , Jean Feng , Josh Fessel , Scott Fleming , Kei Sen Fong , Thomas Frost , Soham Gadgil , Judy Gichoya , Leeor Hershkovich , Sujeong Im , Bhavya Jain , Vincent Jeanselme , Furong Jia , Qixuan Jin , Yuxuan Jin , Daniel Kapash , Geetika Kapoor , Behdokht Kiafar , Matthias Kleiner , Stefan Kraft , Annika Kumar , Daeun Kyung , Zhongyuan Liang , Joanna Lin , Qianchu Liu , Chang Liu , Hongzhou Luan , Chris Lunt , Leopoldo Julían Lechuga López , Matthew B. A. McDermott , Shahriar Noroozizadeh , Connor O'Brien , YongKyung Oh , Mixail Ota , Stephen Pfohl , Meagan Pi , Tanmoy Sarkar Pias , Emma Rocheteau , Avishaan Sethi , Toru Shirakawa , Anita Silver , Neha Simha , Kamile Stankeviciute , Max Sunog , Peter Szolovits , Shengpu Tang , Jialu Tang , Aaron Tierney , John Valdovinos , Byron Wallace , Will Ke Wang , Peter Washington , Jeremy Weiss , Daniel Wolfe , Emily Wong , Hye Sun Yun , Xiaoman Zhang , Xiao Yu Cindy Zhang , Hayoung Jeong , Kaveri A. Thakoor

Condensed account of the Lectures delivered at the Meeting on {\it Noncommutative Geometry in Field and String Theory}, Corfu, September 18 - 20, 2005.

High Energy Physics - Theory · Physics 2008-11-26 Sergio Doplicher

These proceedings summarize lectures that were delivered as part of the 2002 and 2003 Theoretical Advanced Study Institutes in elementary particle physics (TASI) at the University of Colorado at Boulder. They are intended to provide a…

Astrophysics · Physics 2007-05-23 Mark Trodden , Sean M. Carroll

These are lecture notes of the QFT-I course I gave in an online mode at Chennai Mathematical Institute. The course focussed on the free relativistic quantum fields, their interactions in the perturbative scattering framework, standard…

High Energy Physics - Theory · Physics 2022-07-07 Ghanashyam Date

This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in…

Quantum Physics · Physics 2023-01-18 Ronald de Wolf

Proceedings of the AAAI Fall Symposium on Artificial Intelligence in Government and Public Sector, Washington, DC, USA, November 13-14, 2020

Artificial Intelligence · Computer Science 2021-10-11 Frank Stein , Alun Preece