2025
EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability.
CoRR, March, 2025
Narrative-Based Interactive Learning for Scam Prevention: Rich Within Reach.
Proceedings of the 17th International Conference on Computer Supported Education, 2025
2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.
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J. Mach. Learn. Res., 2024
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity.
CoRR, 2024
Large Language Models as In-context AI Generators for Quality-Diversity.
CoRR, 2024
Evolutionary Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity.
ACM Trans. Evol. Learn. Optim., June, 2023
Accelerated Quality-Diversity through Massive Parallelism.
Trans. Mach. Learn. Res., 2023
Mix-ME: Quality-Diversity for Multi-Agent Learning.
CoRR, 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.
CoRR, 2023
Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies.
CoRR, 2023
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients.
CoRR, 2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning.
CoRR, 2022
Accelerated Quality-Diversity for Robotics through Massive Parallelism.
CoRR, 2022
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Learning to walk autonomously via reset-free quality-diversity.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
QDax: on the benefits of massive parallelization for quality-diversity.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures.
CoRR, 2021
Deep Learning for Market by Order Data.
CoRR, 2021
2020
Deep learning for time series prediction and decision making over time.
PhD thesis, 2020
Building Cross-Sectional Systematic Strategies By Learning to Rank.
CoRR, 2020
Time Series Forecasting With Deep Learning: A Survey.
CoRR, 2020
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio.
CoRR, 2020
Robust Autonomous Navigation of a Small-Scale Quadruped Robot in Real-World Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting.
CoRR, 2019
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs.
CoRR, 2019
Enhancing Time Series Momentum Strategies Using Deep Neural Networks.
CoRR, 2019
2018
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning.
CoRR, 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning.
CoRR, 2018
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Disease-Atlas: Navigating Disease Trajectories using Deep Learning.
Proceedings of the Machine Learning for Healthcare Conference, 2018