Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
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Updated
Oct 15, 2024 - Python
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
Graph Learning for Planning [AAAI-24, ICAPS-24, NeurIPS-24]
Code and data of "NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems"
headquarters of the April team in Edinburgh
A list of awesome resources related to constraint learning
An LLM-based code translator for whole-program translation, fine-tuned using feedback from compiler and symbolic execution
A dedicated repository for learning and researching about neuro-symbolic artificial intelligence (NSAI)
LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers
AI UK Fringe Event on AI research at City, University of London
Coursework for COMSE6998 Natural Language Generation and Summarization
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
Headquarters of the APRIL research lab
Enhancing reasoning capabilities of LLMs by fine-tuning based algorithm using Symbolic AI feedback component
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