NeSy2020: International Workshop on Neural-Symbolic Learning and Reasoning Athens, Greece, September 9-11, 2020 |
Conference website | https://sites.google.com/view/nesy20/ |
Submission link | https://easychair.org/conferences/?conf=nesy2020 |
Submission deadline | May 29, 2020 |
NeSy is the annual workshop of the Neural-Symbolic Learning and Reasoning Association: http://www.neural-symbolic.org/. The goal of Neural-Symbolic Integration is to combine neural networks' robust learning mechanisms with symbolic knowledge representation, reasoning, and explanation capability in ways that retain the strengths of each paradigm.
Submission Guidelines
Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere. Submitted papers must be written in English and should not exceed 8 pages in the case of research and experience papers, or 4 pages in the case of position papers (including figures, bibliography and appendices). All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation. Papers must be submitted through EasyChair at https://easychair.org/conferences/?conf=nesy2020
List of Topics
NeSy invites theoretical and applied submissions that span both connectionist and symbolic learning paradigms. We further invite papers detailing experimental and in-the-wild neural-symbolic systems and papers on topics where neural-symbolic learning has a strong use case. Topics of interest include, but are not limited to:
- Knowledge representation and reasoning in deep neural networks
- Symbolic knowledge extraction from neural and statistical learning models
- Explainable AI models, systems, and techniques that integrate connectionist and symbolic paradigms
- Neural-symbolic cognitive models
- Biologically-inspired neural-symbolic integration
- Continual learning, integration of logic and probabilities with neural networks
- Neural-symbolic methods for structured learning tasks, including transfer, meta, and relational learning
- Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g. logical deduction)
- Novel symbolic systems able to perform traditionally connectionist tasks (e.g. unstructured data analysis)
- Applications in simulation, finance, robotics, the semantic web, software engineering, systems engineering, bioinformatics, and visual intelligence.
The workshop will include the following sessions:
- Semantic Web and Deep Learning
- NeSy and Continual Learning
- NeSy for Explainable AI
- Industry/application track
Organizing Committee
- Artur d'Avila Garcez, City, University of London, UK
- Natalia Diaz Rodriguez, ENSTA ParisTech, FR
- Ernesto Jimenez-Ruiz, City, University of London, UK
- Dagmar Gromann, University of Vienna, AT
- Freddy Lecue, INRIA and Thales, Montreal, CA
- Derek Doran, Wright State University, OH, USA
All questions about submissions should be emailed to nesy2020 [at] easychair [dot] org
Invited Speakers
- Gary Marcus, RobustAI
- Pedro Domingos, U. Washington and D.E. Shaw
- Luciano Serafini, FBK Trento
- Guy Van den Broeck, UCLA
Publication
All accepted papers will be published by CEUR-WS.org and presented at the workshop. Revised and extended versions of the best papers will be invited for submission to next year's NeSy journal track. A selection of the accepted papers will be chosen for poster presentation.
Venue
NeSy2020 will be collocated with ILP, StarAI and AAIP in Athens, Greece from 9 to 11 September 2020.
Program Committee
- Asan Agibetov, Medical University of Vienna, AT
- Jiaoyan Chen, University of Oxford, UK
- Bernardo Cuenca Grau, University of Oxford, UK
- Vincenzo Cutrona, University of Milano - Bicocca, IT
- Artur d'Avila Garcez, City University of London, UK
- Ivan Donadello, Fondazione Bruno Kessler, IT
- Derek Doran, Wright State University, OH, USA
- Monireh Ebrahimi, Wright State University, USA
- Frank Van Harmelen, Vrije Universiteit Amsterdam, NL
- Pascal Hitzler, Kansas State University, USA
- Steffen Hölldobler, TU Dresden, DE
- Andreas Holzinger, Medical University Graz, AT
- Kristian Kersting, TU Darmstadt, DE
- Luis Lamb, University of Rio Grande do Sul, Brazil
- Freddy Lecue, INRIA and Thales, Montreal, CA
- Thomas Lukasiewicz, University of Oxford, UK
- Carlos Maestre, Valeo, FR
- Pasquale Minervini, University College London, UK
- Summaya Mumtaz, University of Oslo, NO
- Erik Bryhn Myklebust, Norwegian Institute for Water Research, NO
- Catia Pesquita, Universidade de Lisboa, PT
- Alina Petrova, University of Oxford, UK
- Md. Kamruzzaman Sarker, Wright State University, USA
- Luciano Serafini, Fondazione Bruno Kessler, Trento, IT
- Andrey Sharapov, Schwarz IT, DE
- Michael Spranger, Sony CSL, Tokyo, JP
- Kavitha Srinivas, IBM Research, USA
- Andreas Theodorou, Umeå University, SE