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Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout., , and . ICONS, page 9:1-9:4. ACM, (2019)Towards On-Chip Bayesian Neuromorphic Learning., , and . CoRR, (2020)A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes., , and . CoRR, (2020)Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks., , , and . CoRR, (2020)Flow-Bench: A Dataset for Computational Workflow Anomaly Detection., , , , , , and . CoRR, (2023)Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting., , and . CoRR, (2022)Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems., , , , and . CoRR, (2019)Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation., , , , , , and . CoRR, (2023)Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives., , , , and . CoRR, (2023)Self-supervised Learning for Anomaly Detection in Computational Workflows., , , , , , and . CoRR, (2023)