[UAI] PhD studentship in epistemic artificial intelligence

[Fabio Cuzzolin]

*PhD **Studentship: *PhD studentship in epistemic artificial intelligence



*Eligibility:* all students

*Bursary:* £16,540 per year

*Fees:* Tuition fees will be paid by the university

*Deadline for applying:* May 22 2022

*Start date:* September 2022

The Faculty of Technology Design and Environment at Oxford Brookes
University is pleased to offer a three-year full-time PhD studentship to
students commencing September 2022, funded by the EU Horizon 2020 project
“Epistemic AI”.

The successful candidate will join the Visual Artificial Intelligence
Laboratory  under the
supervision of Professor Fabio Cuzzolin
. This
is a fully-funded PhD studentship with annual bursary of £16,540.



*Project description*

The Visual Artificial Intelligence Laboratory
 is a fast-growing research
unit currently running on a budget of £3.2 million from nine live projects
funded by the EU (2), Innovate UK (2), the Leverhulme Trust and others. Our
research interests span artificial intelligence, uncertainty theory,
machine learning, computer vision, autonomous driving, surgical and mobile
robotics, AI for healthcare. The Lab is currently pioneering frontier
topics in AI such as machine theory of mind, self-supervised learning,
continual learning and future event prediction.

The PhD students will join the Lab’s work towards a new Horizon 2020 FET
(Future Emerging Technologies) project “Epistemic AI
” coordinated by
Prof Cuzzolin and whose other partners are TU Delft (Netherlands) and KU
Leuven (Belgium). The project started in March 2021 and will end in
February 2025.

https://www.epistemic-ai.eu/

https://www.youtube.com/watch?v=GNCKqoQODR0=3s

The project’s overarching objective is to develop a new paradigm for a
next-generation artificial intelligence providing worst-case guarantees on
its predictions thanks to a proper modelling of real-world uncertainties.
The project re-imagines AI from the foundations, with the aim of providing
a proper treatment of the ‘epistemic’ uncertainty stemming from a machine’s
forcibly partial knowledge of the world by means of advanced uncertainty
theory. All new algorithms and learning paradigms are to be tested in the
context of autonomous driving.



*Requirements*

Candidates should have a strong mathematical background, specifically in
optimisation, probability and statistics, and a good first degree in
Machine Learning, Artificial Intelligence or related fields. Applicants are
also expected to have Research experience in Machine Learning or Artificial
Intelligence, and good coding skills in Python and/or C++. Knowledge of
uncertainty theory, including belief functions, random sets or imprecise
probabilities is desirable, as is experience of coding in Torch, PyTorch,
Tensorflow or Caffe, and experience of work in autonomous driving.

*How to apply*



To apply for this studentship please see the submission instructions on our
website:

https://sites.google.com/brookes.ac.uk/tde-research/studentships
-how-to-apply?authuser=0



When completing your application online, please note the following: *Title:
PhD studentship in epistemic artificial intelligence*



*Select the following course: *MPhil/ PhD in Computing



Applications must be completed by 5pm on March 22 2022.



*Enquiries: *Dominic Maitland: dmaitl...@brookes.ac.uk

Fabio Cuzzolin: fabio.cuzzo...@brookes.ac.uk
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] 7th International Conference on Mathematics and Computers in Sciences and Industry . Publisher: IEEE CPS u...@cs.orst.edu

[7th International Conference on Mathematics and Computers in Sciences and Industry . Publisher: IEEE CPS]

7th International Conference on Mathematics and Computers in Sciences and 
Industry

Athens, Greece

August 22-24, 2022

http://www.mcsi-conf.org


Publisher: IEEE CPS
-
The Proceedings of MCSI 2014, 2015, 2016, 2017, 2018 have been already 
published by IEEE
CPS and Indexed ISI, SCOPUS, EI Compende

Journals
--
Check here the ISI, SCOPUS, EI Compendex, etc journals that will publish papers 
from the
conference after additional peer review 

Indexing
--
Indexing of the conference proceedings and Indexing of the journals for the 
extended
versions,  http://www.mcsi-conf.org

Best Regards

Kostas Chiotopoulos 


 Should you want to unsubscribe, send an empty email to 
kostas.chiotopou...@gmail.com with
subject << Block u...@cs.orst.edu >>

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE)

[Schuller, Bjoern W]

Call for Participation
ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE)
Vocalisations, Stuttering, Activity, & Mosquitos

The ACM Multimedia 2022 Computational Paralinguistics ChallengE (ComParE) is an 
open Grand Challenge dealing with states and traits of speakers as manifested 
in their speech signal’s properties and beyond. There have so far been twelve 
consecutive Challenges held annually at INTERSPEECH 2009 – 2021 (cf. the 
repository), but there still exists a 
multiplicity of not yet covered, but highly relevant paralinguistic phenomena. 
Thus, we introduce four new tasks by the Vocalisations Sub-Challenge, the 
Stuttering Sub-Challenge, the Activity Sub-Challenge, and the Mosquitos 
Sub-Challenge (see also for the data 
descriptions). For the tasks, the data 
are provided by the organisers. The Sub-Challenges are generally open for 
participation. This year also features human movement data and animal sounds.


The ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE) shall 
help bridging the gap between excellent research on paralinguistic information 
in audio and other modalities and low compatibility of results. The results of 
the Challenge will be presented at ACM Multimedia 
2022 in Lisbon. Prizes will be awarded to the 
Sub-Challenge winners.

If you are interested and planning to participate in the Computational 
Paralinguistics Challenge, or if you want to be kept informed about the 
Challenge, please send the organisers an 
e-mail to indicate your interest.

Organisers:

General Chairs:
Björn Schuller (University of Augsburg, 
Germany / Imperial College London, UK / audEERING)
Anton Batliner (University of 
Augsburg, Germany)
Shahin Amiriparian (University of 
Augsburg, Germany)
Christian Bergler (FAU Erlangen-Nuremberg 
Erlangen, Germany)

Data Chairs:
Natalie Holz (MPI Frankfurt, Germany)
Sebastian Bayerl (TH Nürnberg, Germany)
Korbinian Riedhammer (TH Nürnberg, Germany)
Adria Mallol-Ragolta (University of Augsburg, Germany)
Maria Pateraki (FORTH, Greece)
Harry Coppock (Imperial College London, UK)
Ivan Kiskin (University of Oxford, UK)
Stephen Roberts (University of Oxford, UK)

Officially started:
9 May 2022

Important Dates:
18 June 2022 Paper submission at http://2022.acmmm.org
1 July 2022 Final result upload
7 July 2022 Notification of acceptance
20 July 2022 Camera-ready paper

To get started:

Please register your team by email to
Christian Bergler: christian.berg...@fau.de .

Then, please obtain the according End-User License Agreements (EULAs) to get a 
password and further instructions for the download of the datasets: Please fill 
out electronically the PDF for the dataset(s) you wish to obtain, and print, 
sign, scan, and email - to the email addresses given on the agreements - both 
the electronic version and the scans accordingly to ease handling. The 
agreement(s) has/have to be signed by a permanent staff member.

To obtain the EULAs, please contact per Sub-Challenge:
Vocalisations Sub-Challenge: Natalie Holz: 
natalie.h...@ae.mpg.de
Stuttering Sub-Challenge: Sebastian Bayerl: 
sebastian.bay...@th-nuernberg.de
Activity Sub-Challenge: Adria Mallol-Ragolta: 
adria.mallol-rago...@informatik.uni-augsburg.de
Mosquitos Sub-Challenge: Ivan Kiskin: 
ivankisk...@gmail.com

After downloading the data you can directly start your experiments with the 
data sets. Once you found your best method you should write your paper for the 
Grand Challenge. At the same time, you can compute your results per instance 
and Sub-Challenge task on the test set and upload them: we will then let you 
know your performance result.

If you have questions, ideally contact all of the General Chairs (see above).








___

Univ.-Prof. mult. Dr. habil.
Björn W. Schuller,
FAAAC, FBCS, FIEEE, FISCA

Professor and Chair of Embedded Intelligence for Health Care and Wellbeing
University of Augsburg / Germany

Professor of Artificial Intelligence
Head GLAM - Group on Language, Audio, & Music
Imperial College London / UK

CSO/MD audEERING GmbH
Germany

Field Chief Editor Frontiers in Digital Health

schul...@ieee.org
www.schuller.one

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CFP]: Workshop on Mobility in the Evolving Internet Architecture 2022 | Sydney, Australia

[Sudipta Acharya]

Dear Colleagues,

*Apologies if you have received multiple copies.*

MobiArch 2022  will be held jointly with MobiCom 2022 in Sydney, Australia on 
21st Oct. The details are presented below. The paper submission deadline is 
10th June 2022.

=
 Workshop on Mobility in the Evolving Internet Architecture (MobiArch) 2022
 Sydney, AUSTRALIA
  Homepage: https://mobiarch2022.github.io/call.html
   Dates: In-person (21st Oct. '22)
   Submission Deadline: 10th June 2022
=

MobiArch 2022 (to be held jointly with ACM MobiCom 2022) welcomes submissions 
from both researchers and practitioners from academia and industry that explore 
the latest developments in mobile communication technologies, architectures and 
machine learning/artificial intelligence/security/privacy related issues in 
mobile networks. In addition, we encourage work-in-progress and position papers 
that describe highly original ideas, present new directions, or have the 
potential to generate insightful provocative discussion at the workshop.

The workshop solicits submissions covering aspects around architectural issues 
and system support for mobility in the evolving mobile Internet (e.g. terahertz 
and cell-free communication, integrated space-earth networks, massive IoT, edge 
computing, autonomous cars and systems, distributed artificial intelligence, 
security/privacy issues in mobile networks and network virtualization), 
including but are not limited to:

• Effects of COVID-19 Pandemic on mobile network architecture
• Future Internet and next-generation networking architectures
• Mobile computing and networking architectures with 5G and beyond 5G
• Joint communication, computing, networking and computing architecture design
• Software defined networking (SDN) and network function virtualization (NFV)
• Network virtualization in mobile Internet architecture
• Terahertz wireless communications
• Mobile internet architectures and technologies for connected autonomous 
vehicles and cooperative ITS
• Next generation heterogenous radio access networks
• Mobile internet architecture for massive and low-power IoT access and smart 
cities
• Mobile data sensing and fusion for big M2M data
• Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC)
• Information-Centric Networking for mobile networks and mobile computing
• Mobile network management and architecture design with data analysis and 
learning
• Location management, positioning, and data management for wireless and 
mobility
• Future Internet architecture for efficient mobility support
• Resource orchestration in next-generation networks
• Field trials, deployment and evaluation of innovative mobile Internet 
architectures
• Blockchain application and SD-RAN systems
• Distributed/Federated/Split learning in mobile networks
• Data privacy preservation in mobile networks
• Machine learning and artificial intelligence in mobile networks

=
Important Dates:

Deadline for submissions: 10th June, 2022
Notification of acceptance: 30th July, 2022
Submission: https://easychair.org/conferences/?conf=mobiarch2022
=

Please see https://mobiarch2022.github.io/index.html for detailed information.

CO-CHAIRS
• Stefano Secci (Cnam, Paris)
• Yipeng Zhou (Macquarie University)

With regards,
Sudipta Acharya
(On behalf of MobiArch'22 organizers)

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] CFP-Extended: Adverse Impacts and Collateral Effects of AI Technologies (AIofAI-IJCAI'22)

[Nicolás Díaz Ferreyra]

[*Apologies if you receive multiple copies*]

EXTENDED DEADLINE: MAY 20, 2022 (AoE)

AIofAI ‘22: 2nd Workshop on Adverse Impacts and Collateral Effects of 
Artificial Intelligence Technologies

In conjunction with the 31st International Conference on Artificial 
Intelligence (IJCAI-2022) https://ijcai-22.org 

Vienna, Austria

July 23-25, 2022

Workshop website: https://sites.google.com/view/aiofai-2022/ 


=

CALL FOR SUBMISSIONS

The role of Artificial Intelligence (AI) in people’s everyday life has grown 
exponentially over the last decade. Currently, individuals rely heavily on 
intelligent software applications across different domains including 
healthcare, logistics, defence, and governance. Particularly, AI systems 
facilitate decision-making processes across these domains through the automatic 
analysis and classification of large data sets and the subsequent 
identification of relevant patterns. To a large extent, such an approach has 
contributed to the sustainable development of modern societies and remains a 
powerful instrument for social and economic growth. However, recent events 
related to the massive spread of misinformation and deepfakes, along with large 
privacy and security breaches, have raised concerns among AI practitioners and 
researchers about the negative and detrimental impacts of these technologies. 
Hence, there is an urgent call for guidelines, methods, and techniques to 
assess and mitigate the potentially adverse impacts and side effects of AI 
applications.

This workshop explores how and up to which extent AI technologies can serve 
deceptive and malicious purposes either intentionally or not. Furthermore, it 
seeks to elaborate on countermeasures and mitigation actions to prevent 
potential negative effects and collateral damages of AI systems. For this, we 
invite AI researchers and practitioners across different disciplines and 
knowledge backgrounds to submit contributions dealing with the following (or 
related) topics:

Hazardous AI applications:
- Deepfakes.
- Fake news and misinformation.
- Online deception.
- Malicious personalization.
- Social engineering.

Adverse impacts of AI:
- Privacy and security breaches.
- Backfire effects.
- Guidelines and mitigation actions.
- Ethical conflicts and challenges.
- Risk assessment methods.

Responsible AI:
- Case studies.
- Best practices for trustworthy AI.

**SPECIAL TOPICS OF INTEREST**

- AI in the COVID-19 era: Since its outbreak in 2020, the COVID-19 pandemic has 
plunged the world into a state of crisis. Far from over, the last two years 
have been characterized by a tsunami of misinformation, as well as the hasty 
deployment of inexact and biased AI models to detect COVID-19 and manage the 
pandemic, fostering mistrust in research and scientific evidence. AIofAI 
welcomes submissions elaborating on the detrimental impact of AI applications 
during the COVID-19 pandemic.

- AI Regulations: The new regulatory framework for AI systems drafted by the 
European Commission seeks for instance to promote profound changes in the way 
such systems are developed and deployed. Still, many challenges are upfront 
particularly when it comes to the identification and assessment of risks 
potentially linked to AI solutions. We encourage the submission of papers 
elaborating on regulations, guidelines, methods and tools for assessing the 
risks of AI systems and their possible adverse impact on both individuals and 
societies at large.

=

SUBMISSION DETAILS

We welcome submissions spanning the full range of theoretical and applied work 
including user research, methods, datasets, tools, simulations, demos, and 
practical evaluations. Submissions should be 10-15 pages for full technical 
papers and 5-9 pages for position papers or demos including references. Papers 
should be formatted according to the CEUR-WS instructions. Templates (Word and 
Latex) and can be found here http://ceur-ws.org/Vol-XXX/CEURART.zip 


Submissions will be peer-reviewed by 3-4 members of the program committee in a 
single-blind process. Proceedings shall be submitted to CEUR-WS.org 
 for online publication (tentative).

=

IMPORTANT DATES

Submission Deadline: May 20, 2022(AoE)

Notification: June 3, 2022

Submission Link: https://easychair.org/conferences/?conf=aiofai2022 


=

ORGANIZERS

- Esma Aïmeur - University of Montréal (Canada)
- Nicolas Diaz Ferreyra - Hamburg University of Technology (Germany)
- Hicham Hage - Notre Dame University-Louaize (Lebanon)___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] 3 PhD positions University of Copenhagen, deadline May 19

[Maria Maistro]

3 PhD fellowships in applied Machine Learning, Information Retrieval and 
Natural Language Processing

The Information Retrieval Lab of the Department of Computer Science at the 
University of Copenhagen (DIKU) is offering 3 fully funded PhD Fellowships in 
applied Machine Learning, Information Retrieval, and Natural Language 
Processing, commencing 1 September 2022 or as soon as possible thereafter.

The fellows will conduct research, having as starting point the following broad 
research areas:

  *   a fully-funded PhD in interpretability of applied machine learning;
  *   a fully-funded PhD in overparameterization and generalizability in deep 
neural architectures;
  *   a fully-funded PhD in web & information retrieval;

We are looking for candidates with a MSc degree in a subject relevant for the 
research area. The successful candidate is expected to have strong grades in 
Machine Learning and/or Information Retrieval and/or Natural Language 
Processing. Successful candidates should have a preliminary research record as 
witnessed by a master thesis or publications in the area.

The deadline for applications is 19 May 2022, 23:59 GMT +2.

Full job description:

https://employment.ku.dk/phd/?show=156455

———

Maria Maistro, PhD
Tenure-track Assistant Professor
Department of Computer Science
University of Copenhagen
Universitetsparken 5, 2100 Copenhagen, Denmark

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] CPAIOR 2022: Call for Student Scholarships, the Mentorship Program, and Conference Registration

[Thiago Serra]

 Dear colleagues,

I would like to emphasize the unique opportunity this year for students to
have their costs to attend CPAIOR partially covered. In addition, students
and postdocs are welcome to apply for the first edition of our mentorship
program with senior members of our community. We are grateful for our
generous sponsors for making it possible, and looking forward to seeing you
in LA!

International Conference on the Integration of
Constraint Programming, Artificial Intelligence, and Operations Research
(CPAIOR)

Conference Dates: June 20-23, 2022
Conference Location: University of Southern California, Los Angeles,
California, USA
Early Registration Deadline: May 20, 2022
Registration Site:
https://sites.google.com/usc.edu/cpaior-2022/registration-and-hotels

CPAIOR-22 is a conference that brings together researchers from Constraint
Programming (CP), Artificial Intelligence (AI), and Operations Research
(OR) to showcase how the integration of techniques from these fields
advances the state-of-the-art in terms of techniques and challenging
applications. Scholarships are available for students.

CPAIOR-22 starts with a one-day Master class on June 20 on the theme
“Bridging the Gap between Machine Learning and Optimization,” where experts
from universities and companies provide overviews of research in the field
in tutorial-style lectures. The Master class is ideally suited for students
and participants from academia and industry who want to familiarize
themselves with the state-of-the-art in this exciting and quickly evolving
area. The speakers are

- Brandon Amos (Facebook AI Research, USA)
- Priya Donti (Carnegie Mellon University, USA)
- Paul Grigas (University of California at Berkeley, USA)
- Tias Guns (Katholieke Universiteit Leuven, Belgium)
- Bryan Wilder (Carnegie Mellon University and Harvard University,
USA)
- Angela Zhou (UC Berkeley and University of Southern California,
USA)

CPAIOR-22 continues with the presentations of the accepted papers and
posters on June 21-23, supplemented by a social program (that includes an
opening reception and a banquet) and three talks by invited speakers, namely

- Andre Cire (University of Toronto, Canada)
- Carla Gomes (Cornell University, USA)
- Vinod Nair (DeepMind, UK)

CPAIOR-22 is held on the smoke-free campus of the University of Southern
California (USC), which is located next to Exposition Park, one of the
major cultural centers of Los Angeles with several museums where one can,
for example, experience the Space Shuttle Endeavour up close. USC is also
just minutes away by public transportation from the center of Los Angeles
with all its attractions.

*For interested students, scholarships are available to cover part of the
CPAIOR registration fee, travel costs, and accommodation costs, whether
they just want to attend the Master class and/or conference or will present
their research, including for students from underrepresented groups in
computing and optimization, from small universities, and from countries
with limited study or research opportunities. A limited number of dormitory
rooms are available for CPAIOR-22 attendees on the USC campus, including
shared and individual rooms, with preference given to students. *

Attendees are strongly encouraged to attend in person to facilitate the
exchange of ideas and social interactions. However, CPAIOR-22 also offers a
virtual attendance option. It is expected that papers and posters will be
presented in person. To register for CPAIOR-22 (and, for students, apply
for a scholarship and the mentorship program), please visit

https://sites.google.com/usc.edu/cpaior-2022/registration-and-hotels

The early registration deadline is May 20, 2022, but registrations are
accepted until the start of CPAIOR-22.

To find out more about the COVID situation and safety protocols at USC and
in Los Angeles, please visit

https://coronavirus.usc.edu/
http://www.publichealth.lacounty.gov/media/Coronavirus/data/index.htm


CPAIOR-22 thanks Gurobi, Google, Nextmv, Kinaxis, The Optimization Firm,
Lindo Systems, Cosling, the Artificial Intelligence journal, the USC
Epstein Department of Industrial & Systems Engineering, the Epstein
Institute at USC, and the USC-Meta Center for Research and Education in AI
and Learning for their sponsorship.
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] PhD position on generative models for discrete data structures

[Alexandros Kalousis]

Apologies for cross-postings.

We have an opening for a PhD position. The research target is the 
development of deep generative models for discrete data structures such 
as graphs and in particular molecules. We seek to develop generative 
models capable of conditional generation as well as what can be 
considered the equivalent of style transfer for discrete structures.

The successful candidate will enrol as a PhD student in the Computer 
Science department of the University of Geneva (under the co-direction 
of myself and Prof. Stephane Marchand-Maillet) and, at the same time, 
will become a member of the Data Mining and Machine Learning group 
(http://dmml.ch) at the University of applied sciences, Geneva. Starting 
date 1/September/2022 (negotiable). The position is funded by a Swiss 
National Science Foundation grant with funding secured for four years.

We seek strongly motivated candidates prepared to dedicate to high 
quality research. The candidate should have (or be close to obtaining) a 
Master's degree or equivalent in computer science, statistics, applied 
mathematics, electrical engineering or other related field with very 
good background in machine learning and programming (Pytorch and/or 
Tensorflow, JAX).

If interested, please send the following to alexandros.kalou...@hesge.ch
- academic CV (max 2 pages)
- academic transcripts of BSc and MSc
- one page motivation letter explaining why the candidate is suitable 
for the position
- 500 word research proposal on the research topic of generative models
- contact details of three referees (do not send reference letters)

Deadline for applications: 15/06/2022.

For any questions please contact me directly.


___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Call for papers [extended deadline]: Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML @ IJCAI-ECAI 2022)

[Murena Pierre-Alexandre]

Apologies for cross-posting! - Please distribute

Please note that the deadline has been extended to May 20!



Workshop on the Interactions between Analogical Reasoning and Machine Learning 
(IARML @ IJCAI-ECAI 2022)

Call For Papers

Dates: July 23rd-25th, 2022

Location: Vienna, Austria

Website: https://iarml2022-ijcai-ecai.loria.fr

Important dates:

* May 20, 2022: Workshop Paper Due Date
* June 10, 2022: Notification of Paper Acceptance
* June 24, 2022: Camera-ready papers due



Analogical reasoning is a remarkable capability of human reasoning, used to 
solve hard reasoning tasks. It consists in transferring knowledge from a source 
domain to a different, but somewhat similar, target domain by relying 
simultaneously on similarities and dissimilarities. In particular, analogical 
proportions, i.e., statements of the form "A is to B as C is to D", are the 
basis of analogical inference.

Analogical inference is pertaining to case-based reasoning and it has 
contributed to multiple machine learning tasks such as classification, decision 
making, and automatic translation with competitive results. Moreover, 
analogical extrapolation can support dataset augmentation (analogical 
extension) for model learning, especially in environments with few labeled 
examples. Conversely, advanced neural techniques, such as representation 
learning, enabled efficient approaches to detecting and solving analogies in 
domains where symbolic approaches had shown their limits. However, recent 
approaches using deep learning architectures remain task and domain specific, 
and strongly rely on ad-hoc representations of objects, i.e., tailor made 
embeddings.

The purpose of this workshop is to bring together AI researchers at the cross 
roads of machine learning and knowledge representation and reasoning, who are 
interested by the various applications of analogical reasoning in machine 
learning or, conversely, of machine learning techniques to improve analogical 
reasoning. The IARML workshop aims at bridging gaps between different 
communities of AI researchers, including case-based reasoning, deep learning 
and neuro-symbolic machine learning.

===

Themes and topics

===

We invite submissions of research papers on all topics at the intersection of 
analogical reasoning and machine learning. Topics of interest include, but are 
not limited to:

Machine learning for analogical reasoning:
* Representation learning;
* Transfer learning;
* Neuro-symbolic models for analogical inference.

Analogical reasoning for machine learning:
* Classification using analogical reasoning;
* Recommendation using analogical reasoning;
* Case-Based Reasoning.

Applications:
* Analogical reasoning in visual domains;
* Analogical reasoning in Natural Language Processing;
* Analogical reasoning in healthcare;
* Analogies in software engineering.


===

Submission

===

We welcome contributions in the form of extended abstracts (up to two pages) 
and long papers (up to six pages plus 1 page for references). Submissions can 
describe either work in progress or mature work that has already been published 
at other research venues. Previously published work in whole or in part may be 
in the form of a resubmission of a previous paper, or in the form of a survey 
or position paper that overviews and cites a body of work. Submitted papers 
must be formatted according to IJCAI-ECAI 2022 guidelines, which can be 
downloaded: https://www.ijcai.org/authors_kit

All papers will be thoroughly reviewed. Overlength papers will be rejected 
without review. The reviewing process will be double-blind.

Submission link: https://cmt3.research.microsoft.com/IARML2022


===

Proceedings

===

Accepted papers will appear in the preproceedings published in HAL and made 
available at the workshop. Selected papers will be invited for publication in a 
CEUR-WS postproceedings.

===
Confirmed keynote speakers

===

* Kenneth Forbus (Northwestern University)
* Yves Lepage (Waseda University)



===
Chairs

===

* Miguel Couceiro (University of Lorraine, CNRS, LORIA, 
miguel.couce...@loria.fr )
* Pierre-Alexandre Murena (Aalto University, 
pierre-alexandre.mur...@aalto.fi )

The organizers would be grateful if you could inform potentially interested 
participants of this conference.

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] CfP: International Workshop on Statistical Relational AI (StaRAI)

[Sebastijan Dumančić]

DESCRIPTION
The purpose of the Statistical Relational AI (StarAI) workshop is to bring 
together researchers and practitioners from three fields: logical (or 
relational) AI/learning, probabilistic (or statistical) AI/learning and neural 
approaches for AI/learning with knowledge graphs and other structured data. 
These fields share many key features and often solve similar problems and 
tasks. Until recently, however, research in them has progressed independently 
with little or no interaction. The fields often use different terminology for 
the same concepts and, as a result, keeping up and understanding the results in 
the other field is cumbersome, thus slowing down research. Our long term goal 
is to change this by achieving synergy between logical, statistical and neural 
AI. As a stepping stone towards realising this big-picture view on AI, we are 
organizing the Tenth International Workshop on Statistical Relational AI at 
IJCAI 2022, July 22-23, 2022.

TOPICS
StarAI is currently provoking a lot of new research and has tremendous 
theoretical and practical implications. The focus of the workshop will be on 
general-purpose representation, reasoning and learning tools for StarAI as well 
as practical applications. Specifically, the workshop will encourage active 
participation from researchers in the following communities, and integration 
thereof: satisfiability, knowledge representation, constraint satisfaction and 
programming, (inductive) logic programming, graphical models and probabilistic 
reasoning, statistical learning, relational embeddings, neural-symbolic 
integration, graph mining and probabilistic databases. It will also actively 
involve researchers from more applied communities, such as natural language 
processing, information retrieval, vision, semantic web and robotics. We seek 
to invite researchers in all subfields of AI to attend the workshop and to 
explore together how to reach the goals imagined by the early AI pioneers.

FORMAT
StarAI will be a one day workshop with short paper presentations, a poster 
session, and three invited speakers.

ATTENDANCE: open to all

SUBMISSION REQUIREMENTS
Authors should submit either:
- a full paper reporting on novel technical contributions or work in progress 
(AAAI style, up to 7 pages excluding references),
- a short position paper (AAAI style, up to 2 pages excluding references),
- an already published work (verbatim, no page limit, citing original work)
in PDF format via EasyChair.

All submitted papers will be carefully peer-reviewed by multiple reviewers and 
low-quality or off-topic papers will be rejected.

SUBMISSION DEADLINE: May 13, 2022

SUBMIT TO
https://easychair.org/my/conference?conf=starai22

WORKSHOP COMMITTEE:
Sebastijan Dumančić (TU Delft)
Angelika Kimmig (KU Leuven)
David Poole (UBC)
Jay Pujara (USC)

WORKSHOP URL
http://www.starai.org


___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CFP] The 18th Int'l Conf. on Mobility, Sensing and Networking (MSN 2022) Dec 14-16, 2022, Guangzhou, China

[Lei Yang]

Dear All,

[Apologies if you receive multiple copies of this email.]

You are welcome to submit papers to the 18th International Conference on
Mobility, Sensing and Networking (MSN 2022) December 14-16, 2022 ·
Guangzhou, China.
https://ieee-msn.org/2022

MSN 2022 provides a forum for academic researchers and industry
practitioners to present research progresses, exchange new ideas, and
identify future directions in the field of Mobility, Sensing and
Networking. MSN 2022 is technically sponsored by IEEE.

[Scope and Objectives]
Mobility, sensing and networking are the key areas of enabling technologies
for the next-generation networks, Internet of Things and Cyber-Physical
Systems. Recent years have witnessed the increasing convergence of
algorithms, protocols, and applications for mobility, sensing and
networking in a range of applications including connected vehicles, smart
cities, smart manufacturing, smart healthcare, smart agriculture, and
digital twins. Building on the past 17 years of success, the 18th
International Conference on Mobility, Sensing and Networking (MSN 2022)
provides a forum for academic researchers and industry practitioners to
exchange new research ideas, present their progress, and identify future
directions in the field of mobility, sensing and networking.
The conference solicits submissions from all research areas related to
mobility, sensing and networking, as well as their corresponding systems
and applications.
Topics of interests are covered by the following tracks:
• Mobile & Wireless Sensing and Networking
• Edge Computing, IoT and Digital Twins
• Security, Privacy, Trust, and Blockchain
• Big Data and AI
• Systems, Tools and Testbed
• Applications in Smart Cities, Healthcare and Other Areas

[Submission Procedures]
Submitted manuscripts must be prepared according to IEEE Computer Society
Proceedings Format (double column, 10pt font, letter paper) and submitted
in the PDF format. The manuscript submitted for review should be no longer
than 8 pages. After the manuscript is accepted, the camera-ready paper may
have up to 10 pages, subject to an additional fee per extra page.
Manuscripts should be submitted to one of the research tracks. Submitted
manuscripts must not contain previously published material or be under
consideration for publication in another conference or journal at the time
of submission. The accepted papers will be included in IEEE Xplore.

[Important Dates]
Submission due:  Jul 1, 2022
Notification: Sep 15, 2022
Camera-ready due: Oct 15, 2022
Conference date: Dec 14-16, 2022


Best Regards,
Lei Yang
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai