Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
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Updated
Feb 2, 2024 - Python
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
A list of awesome resources related to constraint learning
Learning for planning architecture using both classical and deep learning methods. [AAAI-24, ICAPS-24]
A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)
Coursework for COMSE6998 Natural Language Generation and Summarization
AI UK Fringe Event on AI research at City, University of London
Personal website of Ernesto Jiménez-Ruiz, Lecturer in AI at City, University of London
The repository is to document neurosymbolic AI architectures
Endless conversations between GPT and Google Gemini with possible human interaction
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