David Tuckey

According to our database, David Tuckey authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing.

Pavlos Vougiouklis, Nikos Papasarantopoulos, Danna Zheng, David Tuckey, Chenxin Diao, Zhili Shen, Jeff Z. Pan

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Consistency Based Unsupervised Self-Training for ASR Personalisation.

Jisi Zhang, Vandana Rajan, Haaris Mehmood, David Tuckey, Pablo Peso Parada, Md Asif Jalal, Karthikeyan Saravanan, Gil Ho Lee, Jungin Lee, Seokyeong Jung

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework.

Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo

Mach. Learn., 2022

Tunable Quantum Neural Networks in the QPAC-Learning Framework.

Viet Pham Ngoc, David Tuckey, Herbert Wiklicky

Proceedings of the Proceedings 19th International Conference on Quantum Physics and Logic, 2022

Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract).

Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge.

David Tuckey, Krysia Broda, Alessandra Russo

Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), Haifa, Israel, July 31st, 2022

2021

PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics.

David Tuckey, Alessandra Russo, Krysia Broda

CoRR, 2021

2020

A general framework for scientifically inspired explanations in AI.

David Tuckey, Alessandra Russo, Krysia Broda

CoRR, 2020

Towards Structure Learning under the Credal Semantics.

David Tuckey, Krysia Broda, Alessandra Russo

Proceedings of the International Conference on Logic Programming 2020 Workshop Proceedings co-located with 36th International Conference on Logic Programming (ICLP 2020), 2020

2019

Saliency Maps Generation for Automatic Text Summarization.

David Tuckey, Krysia Broda, Alessandra Russo

CoRR, 2019