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Avoiding Excess Computation in Asynchronous Evolutionary Algorithms., , , , , , and . UKCI, volume 1409 of Advances in Intelligent Systems and Computing, page 71-82. Springer, (2021)Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation., , , and . ICONS, page 6:1-6:7. ACM, (2021)Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach., , , , , , , , , and . ICONS, page 14:1-14:8. ACM, (2021)Zespol: A Lightweight Environment for Training Swarming Agents., , , , and . ICONS, page 24:1-24:5. ACM, (2023)Semi-Supervised Graph Structure Learning on Neuromorphic Computers., , , , , , , and . ICONS, page 28:1-28:4. ACM, (2022)A Brain-inspired Approach for Malware Detection using Sub-semantic Hardware Features., , and . ACM Great Lakes Symposium on VLSI, page 139-142. ACM, (2023)PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design., , , and . ICCAD, page 1-8. ACM, (2019)Asynchronous Neuromorphic Optimization with Lava., , and . CoRR, (2024)Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations., , , , and . CoRR, (2023)Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis., , , and . EMBC, page 78-81. IEEE, (2017)