FW: [C4P]: 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-2022)

From: Ernesto Jimenez-Ruiz <ernesto.jimenez.ruiz@gmail.com>
Sent: Thursday, May 19, 2022 3:30 PM
To: Info-ids (IDS) <info-ids@maastrichtuniversity.nl>
Subject: Re: [C4P]: 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-2022)

Hi

I'm not managing this list: semantic-web@w3.org<mailto:semantic-web@w3.org>
There should be a standard way to unsubscribe though.

Ernesto



El jue, 19 may 2022 a las 14:22, Info-ids (IDS) (<info-ids@maastrichtuniversity.nl<mailto:info-ids@maastrichtuniversity.nl>>) escribió:
Dear Ernesto,

Could you please sign us out for these mailings?
Thanks!

From: Ernesto Jimenez-Ruiz <ernesto.jimenez.ruiz@gmail.com<mailto:ernesto.jimenez.ruiz@gmail.com>>
Sent: Monday, May 16, 2022 12:23 PM
To: semantic-web@w3.org<mailto:semantic-web@w3.org>
Subject: [C4P]: 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-2022)

Dear all,

NeSy-2022 invites submissions for presentation at the workshop of the latest and ongoing research work on neurosymbolic AI. Research papers in any of the following areas of neural-symbolic computing are welcome:

Knowledge representation and reasoning using deep neural networks;
Symbolic knowledge extraction from neural and statistical learning systems;
Explainable AI methods, systems and techniques integrating connectionist and symbolic AI;
Neural-symbolic cognitive agents;
Biologically-inspired neuro-symbolic integration;
Integration of logics and probabilities in neural networks;
Neural-symbolic methods for structure learning, transfer learning, meta, multi-task and continual learning, relational learning;
Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g. abduction, deduction, out-of-distribution learning);
Novel symbolic systems able to perform traditionally connectionist tasks (e.g. learning from unstructured data, distributed learning);
Applications of neural-symbolic and hybrid systems, including in simulation, finance, healthcare, robotics, semantic web, software engineering, systems engineering, bioinformatics and visual intelligence.

Publication:
All accepted papers will be published by CEUR and are expected to be presented at the workshop. Accepted papers will be chosen for spotlight oral and poster presentations at the workshop. Revised and extended versions of the best papers will be invited for submission to the NeSy Machine Learning journal track.

Submission:
Researchers and practitioners are invited to submit original papers that are not being reviewed or published elsewhere. Submitted papers need not be anonymous, must be written in English, should be formatted using single column and 11pt font, and should not exceed 8 pages in the case of research and experience papers, or 4 pages in the case of position papers, including all figures, but excluding references and appendices. All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation. Submissions should follow the CEUR style.

Please submit your paper via EasyChair at https://easychair.org/conferences/?conf=ijclr2022 (select track NeSy 2022).

Important Dates:
Deadline for paper submission: 31 May 2022 (Anywhere on Earth)
Notification of paper acceptance: 15 July 2022
Camera-ready paper due: 29 July 2022 (Anywhere on Earth)
NeSy Workshop dates: 28-30 September 2022

The workshop is being planned to take place at Cumberland Lodge (https://www.cumberlandlodge.ac.uk/), Windsor (20min from Heathrow Airport) and online as a hybrid event. Please visit the workshop webpage at https://sites.google.com/view/nesy-2022/home for any updates.

NeSy 2022 invited speakers:
Forough Arabshahi  Facebook, USA
William Cohen  Google AI, USA
Richard Evans  DeepMind, UK
Alexander Gray  IBM Research, USA
Noah Goodman  Stanford University, USA
Sumit Gulwani  Microsoft, USA
José Hernández-Orallo  Universitat Politècnica de València, Spain
Leslie Pack Kaelbling  MIT, USA
Luís Lamb  Universidade Federal do Rio Grande do Sul, Brazil
Hannes Leitgeb  Ludwig-Maximilians-Universität München, Germany
Pierre Lévy  Université de Montréal and INTLEKT Metadata Inc, Canada

NeSy 2022 workshop organisers:
Luis Lamb, University of Rio Grande do Sul, Brazil
Pasquale Minervini, University College London, UK
Danny Silver, Acadia University, Canada
Artur d'Avila Garcez, City, University of London, UK
Ernesto Jimenez-Ruiz, City, University of London, UK
Pranava Madhyastha, City, University of London, UK

Best regards
NeSy organisers

--
Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence

Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212
https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz





--
Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence

Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212
https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz