Preconditioned Score-Based Generative Models.
Int. J. Comput. Vis., July, 2025
Stochastic Forward-Forward Learning through Representational Dimensionality Compression.
CoRR, May, 2025
Simulation and assimilation of the digital human brain.
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Nat. Comput. Sci., December, 2024
Uncertainty Quantification in Working Memory via Moment Neural Networks.
CoRR, 2024
Efficient Combinatorial Optimization via Heat Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes.
Neural Comput., November, 2023
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification.
CoRR, 2023
Accelerating Score-based Generative Models for High-Resolution Image Synthesis.
CoRR, 2022
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling.
Proceedings of the Computer Vision - ECCV 2022, 2022
An effective and automatic approach for parameters optimization of complex end milling process based on virtual machining.
J. Intell. Manuf., 2020