Hahn, Niklas and Moure, Pehuen and Liu, Shih-Chii A Behavioral Study of Event-based Depth-Filtered Prosthetic Vision in Simulated Dynamic Environments ^*, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 1-7, 2025

Moure, Pehuen and Pak, Tatyana and Hahn, Niklas and de Ruyter van Steveninck, Jaap and Liu, Shih-Chii Temporally-Varying Stimulations for Cortical Visual Neuroprosthetics using Spiking Neural Networks, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 1-7, 2025

Marcin Paluch, Florian Bolli, Pehuen Moure, Xian Deng, Tobi Delbruck A-NC: Adaptive Neural Control with implicit online inference of privileged parameters, L4DC, 2024

Pehuen Moure, L.ongbiao Cheng, Joachim Ott, Zuowen Wang, and Shih-Chii Liu Regularized parameter uncertainty for improving generalization in reinforcement learning, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 23805-23814, 2024

Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, UniReps Workshop in Proceedings of Machine Learning Research (PMLR) 209-222, 2024

Zuowen Wang, Pehuen Moure, Longbiao Cheng, Niklas Hahn, and Shih-Chii Liu DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations, Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024

Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023