Mathematical Methods and Models in Machine Learning

The meeting takes place at the Department of Mathematics of the University of Bologna on 27 and 28 April 2020.

https://eventi.unibo.it/m4l2020

Aim of the meeting
The gap between the increasing performance of deep learning and its understanding is therefore a very relevant scientific theme that calls for a strong participation in research efforts from the fields of Mathematics and Mathematical Physics.

The purpose of the conference is to present recent results on mathematical methods and models related to machine learning and link researchers coming from different areas.


Registration
Registration is required by March 10 at 11am. It is possible to apply for a short talk

"Classifying Wikipedia in a fine-grained hierarchy : what graphs can contribute"

(Viard et al, 2020)

https://t.co/I4nuXvxC7n

💡 https://physicsworld.com/a/the-secret-of-the-synchronized-pendulums/

💰 I'm hiring postdoctoral fellows in (1) network science and (2) data science with focus on smartphone data and health, both in my group at Harvard. Please share! https://t.co/YgL7IUP2pP

#postdoc #HarvardBiostats

Interesting paper on the evolution of the role of Physical Review (and PRL).

"Physical Review: From the Periphery to the Center of Physics" https://t.co/QReCA0bnA7

💰 I'm looking for a new post-doc (flexible starting time). If you have a strong background in Bayesian statistics, know something what I've been doing recently and would be interested in working with @mcmc_stan, send me a message.

https://users.aalto.fi/~ave/

#aalto #postdoc

☕️ Find out how to make espressos from this paper by Jaimie Foster et al. https://t.co/KAmBHBPREs

A very nice application of advection-diffusion equations and homogenisation that lets you find the sweet spot for the perfect espresso.

https://t.co/G92RsVo0kS

💡Tutorial: Higher-Order Network Models for Temporal Network Data by Anton Eriksson and Jürgen Hackl

#NetSciX2020 https://pathpy.github.io/pathpy-tutorials/

💊 https://www.nature.com/articles/d41586-020-00166-6

📐 "The spectral dimension of simplicial complexes: a renormalization group theory"

https://t.co/lEq0duFemp

Analysis, tools and data updated as of January 26, 2020.
- Estimates of the Wuhan outbreak going up
- Additional countries experiencing imported cases

https://t.co/4wsf31qW8O

🐙 Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis.

(arXiv:2001.09006v1 [physics.soc-ph])

https://t.co/N0PnQnjEsa

Join us for the 4th edition of the Oxford Summer School in Economic Networks https://t.co/pTQtoMO95r
Application deadline: 7 March 2020

Percolation is one of the most important concepts within complex systems research. Want to have a theoretical picture of the problem? Kim Christensen's notes on "Percolation theory" are among the best to start https://t.co/oU1G4PxDr0

💡 https://www.nature.com/articles/s41562-019-0807-z

http://conference.nrisp.ac.ir/steco/fa/

رویکردهای مختلفی جهت ترسیم میزان توسعه اقتصادی کشورها مورد استفاده قرار می­گیرند، اما از آنجایی که این رویکردها معمولاً مالی بوده و تحت تأثیر نوسانات اقتصادی داخلی و خارجی همچون تورم، رکود و ... قرار می­ گیرند. لذا قابلیت اتکاء در جهت تبیین و آزمون فرضیات و تئوری­ های اقتصادی را ندارند. با توجه به پیچیدگی ­هایی که در عرصه اقتصاد در حال رخ دادن هستند و نیز شناخت بهتر موقعیت فعلی کشورها، پرداختن به روش ­ها و ابزارهای کارآمدتر جهت تجزیه و تحلیل اقتصاد کشور از ضرورت ­های حال حاضر اقتصاد است. به همین دلیل الزام به روی آوردن به تفکر جدید اقتصادی است. در همین راستا رویکرد پیچیدگی اقتصادی، اقتصاد را نه به عنوان یک سیستم در تعادل، بلکه به عنوان سیستمی می­بیند که در حال حرکت بوده و به طور مداوم خود را از نو می ­سازد. در این راستا لازم دیده شد تا به برگزاری کنفرانسی ملی تحت عنوان علم، فناوری و پیچیدگی اقتصادی اقدام گردد، بلکه بتوان به ترویج این رویکرد و کاربردهای آن در حوزه های مختلف سیاست گذاری و تصمیم گیری نائل آییم.

http://conference.nrisp.ac.ir/steco/fa/

Almost five years after the previous release, we today release version 0.8.0 of igraph's C core. It is a major improvement with several new features, performance and robustness improvements, and many bug fixes. See our website

https://t.co/UMrQjm9Mps for more details.

💉 Competition between vaccination and disease spreading. (arXiv:2001.11293v1 [physics.soc-ph])
https://t.co/ALrqqTlNxt

A #Python library that helps data scientists to infer causation rather than observing correlation. #causality

https://causalnex.readthedocs.io/en/latest/

ALBERT-LÁSZLÓ BARABÁSI
NETWORK SCIENCE

Ch 10) SPREADING PHENOMENA

💉 اکنون که ویروس کرونا در حال فتح قاره‌های مختلف دنیا است، خوب است نگاهی کنیم به مدل‌های ساده توصیف کننده همه‌گیری در علم شبکه.

📽 Epidemics, Erdös Numbers and the Internet: the Physics of Networks

https://podcasts.ox.ac.uk/epidemics-erd-s-numbers-and-internet-physics-networks

🌀 Physics Colloquium 12th February 2016 delivered by Professor Mark Newman
Many systems of interest in science and engineering can be represented as networks: the internet, the power grid, transport networks, metabolic networks, ecological networks and social networks are just a few of the many well studied examples. The structure of these networks has deep implications for the behaviour of the systems they represent (for traffic flow on the internet, for instance, or the spread of a disease over a human social network). Their structure is complex and we need new tools to help make sense of it. Physics, perhaps surprisingly, has proved a rich source of such tools. This talk will introduce some of the fundamental ideas in this growing field. It will also demonstrate how techniques borrowed from quantum and statistical physics are helping us to understand a wide range of networked systems.