Moved into Boston

[Guicho 271828]

Ok, It seems the new boss at Cambridge seems to be much more liberal and
open-minded than
the manager I had in Japan. I got an approval. Please go ahead -- update
the info. Thank you.

On Tue, Jul 30, 2019 at 5:44 PM Masataro Asai <guicho2.71828 at gmail.com>
wrote:

> 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/
>


-- 
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(private): http://guicho271828.github.io/
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