A selection of research authored by our scientists, across AI and quantum computing.

[ AI / ML ]

2024

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

ICML'24: Proceedings of the 41st International Conference on Machine Learning
ai-ml

[ AI / ML ]

2024

When geoscience meets generative AI and large language models: Foundations, trends, and future challenges

Journal: Expert Systems
ai-ml

[ AI / ML ]

2024

Decision Trees Versus Systems of Decision Rules: A Rough Set Approach

Part of the book series: Studies in Big Data, Springer Nature
ai-ml

[ AI / ML ]

2024

Driver’s facial expression recognition: A comprehensive survey

Journal: Expert Systems with Applications
ai-ml

[ Quantum ]

2024

On-premises superconducting quantum computer for education and research

Journal: EPJ Quantum Technology
quantum

[ AI / ML ]

2024

Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges

Journal: Information Fusion
ai-ml

[ AI / ML ]

2024

Evaluation of the Embrittlement in Reactor Pressure-Vessel Steels Using a Hybrid Nondestructive Electromagnetic Testing and Evaluation Approach

Journal: Materials
ai-ml

[ AI / ML ]

2024

Bounds on depth of decision trees derived from decision rule systems with discrete attributes

Journal: Annals of Mathematics and Artificial Intelligence
ai-ml

[ AI / ML ]

2023

Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach

2023 IEEE International Conference on Big Data (BigData)
ai-ml

[ AI / ML ]

2023

State-Conditioned Adversarial Subgoal Generation

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI)
ai-ml
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