Spain

ECAI 2020

Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning

dynamical systems

one-short learning

physics-based neural network

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

Underline hosted the two main days of AGI 2020 on Wednesday June 24th and Thursday June 25th. Both days were **live-streamed** and you can read the full program bellow. All presentations are available for a **asynchronous viewing**. All presenters are grouped into panels. You can also hear guest talks by **Ben Goertzel** (SingularityNET), **Valery Tarasov** (Semenov Institute of Chemical Physics), **Tatiana Shavrina** (Sberbank) and **Joscha Bach** (MIT Media Lab). 

AGI-20

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Learning classifier chains using matrix regularization: application to multimorbidity prediction

Abstract Argumentation with Markov Networks

IAD: A Benchmark Dataset and a New Method for Illegal Advertising Classification

Preferences over rankings and how to control them using rewards

Monte Carlo Information-Oriented Planning

Enhanced foraging in robot swarms using collective Lévy walks

General Supervision via Probabilistic Transformations

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

Heuristics for Link Prediction in Multiplex Networks

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience

https://d3smihljt9218e.cloudfront.net/transcript/996/subtitle/61b1185da63ef03ac250a2e05ebff1f4.vtt

English (automatic)

Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning

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Learning classifier chains using matrix regularization: application to multimorbidity prediction

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Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning

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Next from ECAI 2020

Learning classifier chains using matrix regularization: application to multimorbidity prediction

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The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents

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