We are hosting tech tutorials for the virtual venues (Webex, Wonder.me) on June 28th, one tutorial at 9:00 (UTC+2) and one tutorial at 18:00 (UTC+2). The virtual venues can be accessed through the link "Browse Conference Agenda" in ConfTool.
The schedule is now available HERE. Small adaptions might be necessary. (Schedule updated on 1st of July, 2021)
Paper submission deadline extended
The paper submission deadline has been extended to 7th of June 14th of June (midnight, central european summer time)!
No further extensions can be considered.
Book of Abstracts now available
We are pleased to issue the Book of Abstracts HERE Arrangement of Sessions and Schedule will follow in due time. (Update 31st of May, 2021)
Update (27th of May, 2021)
MaxEnt 2021 will be held online from 4th-9th July!
A technical tutorial on how to use and navigate the virtual venues (Webex and wonder.me) will likely be given in the week of 20th June to 27th June. There will be two slots (morning and evening, central european time) to accomodate for different international time zones. The exact dates of this technical tutorial will be announced in due time. We will offer live presentations and schedule the conference to account for the different time zones of the participants and speakers. We will additionally offer video recordings of the presentations and arrange additional discussion time slots to the participants in conflicting time zones.
Further details will be announced in due time.
As it has for 40 years, the workshop will focus on the applications of Bayesian inference and the maximum entropy principle in regard to problems faced in science and engineering.
The broadness of this topic is illustrated by presentations held in previous years which include fields such as astronomy and astrophysics, chemistry, communications theory, climate studies, earth studies, particle physics, plasma physics robotics and social sciences.
The conference invites contributions on all aspects of probabilistic inference, including novel techniques and applications and work that sheds new light on the foundations of inference.
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