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Details
Table of Contents
Intro
Preface
Special Events
Tutorial
Workshops
Organization
Abstracts of Invited Talks
Monte Carlo Search
Autonomy in AI: Reactive Synthesis, Planning and Reinforcement Learning in Linear Temporal Logic on Finite Traces
Ontologies for Providing Map Knowledge to Autonomous Vehicles
The Third Wave of AI
Motion Intelligence for Human-Centred Robots
Human-Compatible Artificial Intelligence
Contents
Technical Programme
RP-DQN: An Application of Q-Learning to Vehicle Routing Problems
1 Introduction
2 Related Work
3 Problem Definition
4 Method
4.1 Original Attention-Model
4.2 RP-DQN
5 Experiments
5.1 Baselines
5.2 Data
5.3 CVRP Results
5.4 MDVRP Results
5.5 Learning Curves
5.6 Runtime Comparison
5.7 Generalization Study
6 Conclusion
References
Circulant Maximum Variance Bases
1 Introduction
2 Preliminaries
2.1 Principal Component Analysis
2.2 Dynamic Principal Component Analysis
2.3 -Circulant Matrices
3 Maximum Variance Bases
3.1 Simple Matched Circulants
3.2 Matched -Circulant Matrices
3.3 Relation to PCA, DPCA and DFT
4 Numerical Results
4.1 MA Process
4.2 Circular Process
5 Conclusion
References
Quantified Boolean Solving for Achievement Games
1 Introduction
2 Quantified Boolean Formulas
3 Harary's Tic-Tac-Toe
4 Related Work
5 The Pairing Encoding
6 Experimental Results
7 Conclusion
References
Knowledge Graph Based Question Answering System for Financial Securities
1 Introduction
2 Framework
2.1 Knowledge Graph Construction
2.2 Semantic Question Answering System
3 Experiments
4 Conclusion
References
Semi-unsupervised Learning: An In-depth Parameter Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Learning Paradigms
3.2 Semi-unsupervised Learning with Deep Generative Models
4 Datasets
5 Experiments
5.1 Semi-unsupervised Classification
5.2 Parameter Analysis
6 Summary and Outlook
References
Combining Transformer Generators with Convolutional Discriminators
1 Introduction
2 Related Work
2.1 Generative Models Using CNNs
2.2 Generative Models Using Attention
2.3 Hybrid Models
3 Model Architecture
3.1 Transformer Generator
3.2 Convolutional Discriminator
4 Experiments
4.1 Setup
4.2 Results
4.3 Frequency Analysis
5 Discussion
6 Conclusion
References
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations
1 Introduction
2 A Relational Knowledge Domain
3 Learning an Interpretable Model with ILP
4 Multi-level and Multi-modal Explanations
4.1 Explanation Generation
4.2 Explanatory Dialogue
4.3 Proof-of-Concept Implementation
5 Conclusion and Outlook
References
Multi-Type-TD-TSR
Extracting Tables from Document Images Using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: From OCR to Structured Table Representations
Preface
Special Events
Tutorial
Workshops
Organization
Abstracts of Invited Talks
Monte Carlo Search
Autonomy in AI: Reactive Synthesis, Planning and Reinforcement Learning in Linear Temporal Logic on Finite Traces
Ontologies for Providing Map Knowledge to Autonomous Vehicles
The Third Wave of AI
Motion Intelligence for Human-Centred Robots
Human-Compatible Artificial Intelligence
Contents
Technical Programme
RP-DQN: An Application of Q-Learning to Vehicle Routing Problems
1 Introduction
2 Related Work
3 Problem Definition
4 Method
4.1 Original Attention-Model
4.2 RP-DQN
5 Experiments
5.1 Baselines
5.2 Data
5.3 CVRP Results
5.4 MDVRP Results
5.5 Learning Curves
5.6 Runtime Comparison
5.7 Generalization Study
6 Conclusion
References
Circulant Maximum Variance Bases
1 Introduction
2 Preliminaries
2.1 Principal Component Analysis
2.2 Dynamic Principal Component Analysis
2.3 -Circulant Matrices
3 Maximum Variance Bases
3.1 Simple Matched Circulants
3.2 Matched -Circulant Matrices
3.3 Relation to PCA, DPCA and DFT
4 Numerical Results
4.1 MA Process
4.2 Circular Process
5 Conclusion
References
Quantified Boolean Solving for Achievement Games
1 Introduction
2 Quantified Boolean Formulas
3 Harary's Tic-Tac-Toe
4 Related Work
5 The Pairing Encoding
6 Experimental Results
7 Conclusion
References
Knowledge Graph Based Question Answering System for Financial Securities
1 Introduction
2 Framework
2.1 Knowledge Graph Construction
2.2 Semantic Question Answering System
3 Experiments
4 Conclusion
References
Semi-unsupervised Learning: An In-depth Parameter Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Learning Paradigms
3.2 Semi-unsupervised Learning with Deep Generative Models
4 Datasets
5 Experiments
5.1 Semi-unsupervised Classification
5.2 Parameter Analysis
6 Summary and Outlook
References
Combining Transformer Generators with Convolutional Discriminators
1 Introduction
2 Related Work
2.1 Generative Models Using CNNs
2.2 Generative Models Using Attention
2.3 Hybrid Models
3 Model Architecture
3.1 Transformer Generator
3.2 Convolutional Discriminator
4 Experiments
4.1 Setup
4.2 Results
4.3 Frequency Analysis
5 Discussion
6 Conclusion
References
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations
1 Introduction
2 A Relational Knowledge Domain
3 Learning an Interpretable Model with ILP
4 Multi-level and Multi-modal Explanations
4.1 Explanation Generation
4.2 Explanatory Dialogue
4.3 Proof-of-Concept Implementation
5 Conclusion and Outlook
References
Multi-Type-TD-TSR
Extracting Tables from Document Images Using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: From OCR to Structured Table Representations