Moved into Boston

[Masataro Asai]

Please do not do it yet --- I should ask my boss if I can give a talk.
(the abstract is almost a copy from my paper abstract, to avoid issues)

Jonathan Godbout wrote:
> It should be updated: https://common-lisp.net/project/boston-lisp/
> 
> 
> On Mon, Jul 29, 2019 at 7:33 AM Masataro Asai <guicho2.71828 at gmail.com 
> <mailto:guicho2.71828 at gmail.com>> wrote:
> 
>     Thank you for the invitation :)
> 
>     August 15th should work, but I need to confirm the schedule in the
>     company, which I cannot check now until I complete the onboarding
>     process of US IBM (although I have been in IBM Japan for quite a
>     while...)
> 
>     Will they be posted on any sort of MIT bulletin board? Is it more of an
>     academic event? That might need a permission from the manager. For an
>     informal meeting it should be fine.
> 
>     Blurb meaning the short description / abstract of the talk? Let me give
>     a try...
> 
>     For myself:
> 
>     Masataro Asai, aka guicho271828, is a Lisp hacker with 11 years of
>     experience in Common Lisp, who received a Ph.D in Artificial
>     Intelligence from the University of Tokyo. He is an expert in heuristic
>     graph search and automated planning and scheduling, also known as AI
>     Planning, with publications records on top AI conferences e.g. AAAI,
>     IJCAI, ICAPS. Author of a fast pattern match library Trivia, a
>     numerical
>     computation library NUMCL (which got 400 stars) and more.
> 
>     For the talk:
> 
>     Title: Make Symbols Great Again!: Classical PDDL/STRIPS Planning in
>     Deep
>     Latent Space
> 
>     Domain-independent classical planners require the symbolic models of
>     the
>     problem domain and instance as input, resulting in a knowledge
>     acquisition bottleneck. Meanwhile, although deep learning has achieved
>     significant success in many fields, the knowledge is encoded in a
>     subsymbolic representation which is incompatible with symbolic systems
>     such as planners. We introduce LatPlan, an unsupervised architecture
>     combining deep learning and classical planning. Given only an unlabeled
>     set of image pairs showing a subset of transitions allowed in the
>     environment (training inputs), and a pair of images representing the
>     initial and the goal states (planning inputs), LatPlan finds a plan to
>     the goal state in a symbolic latent space and returns a visualized plan
>     execution.
> 
>     In the talk, we also survey the recent progress in the related fields
>     and also informally talk about my future ambitions.
> 
>     Regards
>     Masataro
> 
> 
>     Faré wrote:
>      > Congratulations!
>      >
>      > Let's summon a Boston Lisp Meeting to greet you.
>      > How about Thursday August 15th at 1800?
>      >
>      > I'll try to reserve a room at MIT. Either way, we can meet for dinner
>      > afterwards.
>      >
>      > Can you give a speech on some topic of your choice? Otherwise is
>     there
>      > any other candidate?
>      > Can you give me a one-paragraph blurb about yourself, another one
>      > about your topic?
>      >
>      > —♯ƒ • François-René ÐVB Rideau •Reflection&Cybernethics•
>     http://fare.tunes.org
>      > Genius is one percent inspiration and ninety-nine percent
>     perspiration.
>      >                  — Thomas Alva Edison
>      >
>      > On Sun, Jul 28, 2019 at 7:27 AM Masataro Asai
>     <guicho2.71828 at gmail.com <mailto:guicho2.71828 at gmail.com>> wrote:
>      >>
>      >> Dear all,
>      >>
>      >> I just moved to Boston yesterday. 5yr assignment.
>      >> Thanks
>      >>
>      >> --
>      >> Masataro Asai Ph.D
>      >>
>      >> Research Staff Member
>      >> IBM Research
>      >>
>      >> Tel: +81-44-856-9009
>      >> Mobile: +81-50-5534-1357
>      >> Mail: guicho2.71828 at gmail.com <mailto:guicho2.71828 at gmail.com>
>      >> Website: http://guicho271828.github.io/
>      >>
> 
>     -- 
>     Masataro Asai Ph.D
> 
>     Research Staff Member
>     IBM Research
> 
>     Tel: +81-44-856-9009
>     Mobile: +81-50-5534-1357
>     Mail: guicho2.71828 at gmail.com <mailto:guicho2.71828 at gmail.com>
>     Website: http://guicho271828.github.io/
> 

-- 
Masataro Asai Ph.D

Research Staff Member
IBM Research

Tel: +81-44-856-9009
Mobile: +81-50-5534-1357
Mail: guicho2.71828 at gmail.com
Website: http://guicho271828.github.io/