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POPQORN: Quantifying Robustness of Recurrent Neural Networks., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3468-3477. PMLR, (2019)A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion., , , , и . CoRR, (2021)Fastened CROWN: Tightened Neural Network Robustness Certificates., , , , , и . AAAI, стр. 5037-5044. AAAI Press, (2020)DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior., , , , , , , , и . CoRR, (2023)Fastened CROWN: Tightened Neural Network Robustness Certificates., , , , , и . CoRR, (2019)Towards Evaluating and Training Verifiably Robust Neural Networks., , , , , и . CVPR, стр. 4308-4317. Computer Vision Foundation / IEEE, (2021)GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation., , , , , , и . CoRR, (2024)POPQORN: Quantifying Robustness of Recurrent Neural Networks., , , , , и . CoRR, (2019)Accelerating Diffusion Models via Early Stop of the Diffusion Process., , , , и . CoRR, (2022)Controllable Mesh Generation Through Sparse Latent Point Diffusion Models., , , , , и . CVPR, стр. 271-280. IEEE, (2023)