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Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning., , , , and . CoRR, (2018)Physics-consistent deep learning for structural topology optimization., , , , , , and . CoRR, (2020)Distributed Online Non-convex Optimization with Composite Regret., , , , , and . Allerton, page 1-8. IEEE, (2022)DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models., , , , , , , and . CoRR, (2024)HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models., , , and . J. Comput. Inf. Sci. Eng., (2022)SpecXAI - Spectral interpretability of Deep Learning Models., , , , and . CoRR, (2023)Decentralized Deep Learning Using Momentum-Accelerated Consensus., , , , , and . ICASSP, page 3675-3679. IEEE, (2021)On Consensus-Optimality Trade-offs in Collaborative Deep Learning., , , and . Frontiers Artif. Intell., (2021)MDPGT: Momentum-Based Decentralized Policy Gradient Tracking., , , , , , , and . AAAI, page 9377-9385. AAAI Press, (2022)Multi-Level 3D CNN for Learning Multi-Scale Spatial Features., , , , and . CVPR Workshops, page 1152-1156. Computer Vision Foundation / IEEE, (2019)