From jieshic at andrew.cmu.edu  Wed Jan  7 14:30:43 2026
From: jieshic at andrew.cmu.edu (Jieshi Chen)
Date: Wed, 7 Jan 2026 14:30:43 -0500
Subject: Please update your publication list on the Auton Lab website
Message-ID: <CAB-BqpiYCDiVEhyE5J0iJA1G-5QN6AsXON6FBu8=vcmoo7+LaQ@mail.gmail.com>

Dear Autonians,

We hope you had a wonderful holiday season and wish you a happy and healthy
New Year!

To help keep the Auton Lab website current and showcase everyone?s latest
work, we kindly invite you to update your publication list in our GitHub
repository under: *autonlab.github.io/publications/*
<https://github.com/autonlab/autonlab.github.io/tree/master/publications>(login
required).

Updating is quick and straightforward:

*If you already have a BibTeX file in the directory*

   -

   Simply edit your existing *[last]_[first].bib* file to add any new
   publications.

*If you don?t have a BibTeX file*

   -

   *Option 1 (recommended):* Click *?Add file?* to create a new BibTeX file
   named *[last]_[first].bib*, then paste in your citations and commit
   changes.
   -

   *Option 2:* Upload your existing *.bib* file directly using *?Upload
   files? *(through
   Add file" button).

Your updates help ensure our group?s research output is accurately
represented and visible?thank you for taking a few minutes to contribute.
If you have any questions or run into issues, please feel free to reach out
to me.

Great appreciation!



Best,
Jessie

-- 

Jieshi Chen
Principal Research Analyst
Auton Lab, Robotics Institute, School of Computer Science
Carnegie Mellon University
Email: jieshic at andrew.cmu.edu
Office: Newell Simon Hall Room 3115
Address: 5000 Forbes Avenue, Pittsburgh, PA 15213
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From awd at cs.cmu.edu  Sun Jan 18 19:25:29 2026
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Sun, 18 Jan 2026 19:25:29 -0500
Subject: Our own Kimberly Elenberg is a TV star
Message-ID: <CAJvAoysBEbG18Fy_KYpfPp=NSRrtAUJzVa2B1wgBATZ-YxZkmg@mail.gmail.com>

Team,

You've got to see this top-class performance by our rising television star:

https://www.cbsnews.com/news/pittsburgh-researchers-carnegie-mellon-life-saving-robot-dogs/?intcid=CNM-00-10abd1h

It was shown as part of the nationwide CBS Evening News the other day.

Note this is not the first time Kimberly and our DARPA Triage Challenge
work has been featured on television, I've emailed you all before about a
prior CBS appearance, but that was with the local Pittsburgh CBS station.
This one is nationwide.

Way to go Kimberly and congrats DTC Team Chiron for the well-deserved media
recognition!

Cheers,
Artur
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From awd at cs.cmu.edu  Wed Jan 21 12:25:57 2026
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Wed, 21 Jan 2026 12:25:57 -0500
Subject: Fwd: history of machine learning!
In-Reply-To: <CAAZSyQ8dL6Rfsd_o6bOp2xx2A4HGsCTgTWBNfzhoaoyAnhpEVg@mail.gmail.com>
References: <CAAZSyQ8dL6Rfsd_o6bOp2xx2A4HGsCTgTWBNfzhoaoyAnhpEVg@mail.gmail.com>
Message-ID: <CAJvAoysx=drU__Q9VRcS3VGWrZnWNgSi_3r9nk2PZ8r=yX8suA@mail.gmail.com>

great, juicy feast!

---------- Forwarded message ---------
From: Tom Mitchell <tom.mitchell at cs.cmu.edu>
Date: Wed, Jan 21, 2026 at 11:43?AM
Subject: history of machine learning!
To: <ml-all at cs.cmu.edu>


Dear Machine Learning Department,

Short version:  I'll be giving the SCS Katayanagi Distinguished Lecture
next Tuesday, January 27, on the history of machine learning.  Writing just
to invite you all to join in - hope to see you there!  Details below.

Longer version: I'm going to release a 13 episode podcast on The History of
Machine Learning next month.  Episodes 2 through 13 will be video
interviews with a dozen people you know of, including Geoff Hinton, Yann
LeCun, Rich Sutton, Leslie Valiant, Daphne Koller, Mike Jordan, ...
Episode 1 will be a recording of Tuesday's lecture, which will feature
video clips from each of the above interviews.

cheers,
Tom

*SCS Katayanagi Distinguished Lecture
<https://www.cs.cmu.edu/calendar/195215063>*
Tuesday, *27 January 2026*
*4:00 pm*
Rashid Auditorium, Gates Hillman 4401

*TOM M. MITCHELL* <https://www.cs.cmu.edu/~tom/>
SCS Founders University Professor
Machine Learning Department, School of Computer Science, and
Block Center for Technology and Society
Carnegie Mellon University

*The History of Machine Learning: How Did We Get Here?*

Machine learning is the key technology underlying today's amazing
artificial intelligence systems.

How did we get to today's technology which now supports a trillion dollar
AI industry? What were the key scientific breakthroughs? What were the
surprises and dead-ends along the way, as seen by the researchers who
created them? Who were the personalities involved, and what were they
thinking at the time? What should we learn from all this?

This talk will explore the history of machine learning based on personal
experience of the speaker, augmented by video interviews with a dozen
pioneering researchers in the field.

?

*Tom M. Mitchel*l <https://www.cs.cmu.edu/~tom/> is the Founders University
Professor at Carnegie Mellon University, where he founded the world's first
Machine Learning Department, and served as Interim Dean of the School of
Computer Science (2018-2019).  Beginning with his 1979 Ph.D. research he
has worked in machine learning and AI, and he remains optimistic about its
future. In 2010 Mitchell was elected to the U.S. National Academy of
Engineering  "For pioneering contributions and leadership in the methods
and applications of machine learning."  Mitchell is also a member of the
American Academy of Arts and Sciences, and a Fellow and Past President of
the Association for the Advancement of Artificial Intelligence (AAAI).

?

*About the Lecture:  The Katayanagi Lectures recognize the best and the
brightest in the field of computer science and are presented by the School
of Computer Science at Carnegie Mellon University in close cooperation with
the Tokyo University of Technology (TUT). The lectures recognize both
senior and junior talent.  The series were established through a gift from
Japanese entrepreneur and education advocate, Mr. Koh Katayanagi, who
founded TUT and other technical institutions in Japan over many multiple
decades.  We are delighted to have TUT as partners.*
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From awd at cs.cmu.edu  Mon Jan 26 17:17:48 2026
From: awd at cs.cmu.edu (Artur Dubrawski)
Date: Mon, 26 Jan 2026 17:17:48 -0500
Subject: Fwd: Publicizing the February 13 PCC webinar
In-Reply-To: <CAPTg13fn_HWuQb8pK9XOsAc88+WN6-r59Hh5jA9reojjP-aC=w@mail.gmail.com>
References: <CAPTg13fn_HWuQb8pK9XOsAc88+WN6-r59Hh5jA9reojjP-aC=w@mail.gmail.com>
Message-ID: <CAJvAoyv-jc6MtjpFBmh8Cg8L5W2k18iMStyD-T_a_ts5DM=u2Q@mail.gmail.com>

Of potential relevance, especially to those of us who work on or are
intrigued by TSFMs nas spatio-temporal processes.

AWD

---------- Forwarded message ---------
From: Sergiu Sanielevici <sergiu at psc.edu>
Date: Mon, Jan 26, 2026 at 3:18?PM
Subject: Publicizing the February 13 PCC webinar
To: Artur Dubrawski <awd at cs.cmu.edu>
Cc: Paola Buitrago <paola at psc.edu>


Hi Artur,
PSC always posts these events, but given the topic and your participation
on the Panel, allow me to share the promotional poster and registration
link, in case you wish to promote it within the Auton group and other
colleagues at CMU and beyond.
Paola, perhaps you would be interested in promoting it to your network as
well.
Thank you very much, --Sergiu.


-- 
Sergiu Sanielevici, Ph.D.
Director, Support for Scientific Applications
Principal Investigator and Project Director, Bridges-2
Co-Principal Investigator, Neocortex
Pittsburgh Supercomputing Center
sergiu at psc dot edu
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