CoMoGAN是一个依赖于函数流形上目标数据的无监督重组的连续GAN。为此,我们引入了一种新的函数实例归一化层和残差机制,它们将图像内容从目标流形上的位置中分离出来。我们依靠原始的物理模型来指导训练,同时允许私有的模型/翻译功能。CoMoGAN可以与任何GAN主干一起使用,并允许新类型的图像翻译,例如循环图像翻译(如延时生成...
CoMoGAN: continuous model-guided image-to-image translation [arXiv] | [supp] | [teaser] Fabio Pizzati,Pietro Cerri,Raoul de Charette Inria, Vislab Ambarella. CVPR'21 (oral) If you find our work useful, please cite: @inproceedings{pizzati2021comogan, title={{CoMoGAN}: continuous model-guided...
The 3D Discrete-Continuous Model (DCM) is revisited.Crystal plasticity is simulated with dislocation dynamics (DD) and finite element (FE) simulations.The DD simulation works as a physically justified plasticity law.The FE simulation handles complex boundary conditions and calculates long-range dislocati...
Model type— Turbulence model Continuous Dryden (+q -r) (default) | Continuous Von Karman (+q +r) | Continuous Von Karman (-q +r) | Continuous Von Karman (+q -r) | Continuous Dryden (+q +r) | Continuous Dryden (-q +r) | Discrete Dryden (+q -r) | Discrete Dryden (+q +r...
To model the differential equation x´= –2x(t)+u(t), whereu(t) is a square wave with an amplitude of1and a frequency of1rad/sec, use an integrator block and a gain block.The Integrator block integrates its inputx´to producex. Other blocks needed in this model include a Gain ...
The patients had significant decreased risk of recurrent malaria episodes when treated with AS+AQ or AS+SP arms compared to AL arm; Relative Risks were: 0.75 (95% CI (Confidence Interval): 0.62-0.89), 0.74 (95% CI: 0.62-0.88) respectively for AG-CP model and 0.76 (95% CI: 0.64-0.89...
具体而言,TD-MPC中使用到的组件包括以上5个部分(截取自TD-MPC2,请暂时忽略每个公式中的e),Encoder用于将state编码成隐空间状态z;Latent dynamics是一个隐空间上的Dynamic model,对给定的z,a预测下一步的状态z’;Reward预测一步transition得到的奖励;Terminal value是Q function;Policy prior是用TD-Learning学习的策...
However, the one-wave assumption often leads to under-estimation when the progress of the true admixture cannot be well modeled by the HI model. Jin et al. showed earlier that under the assumption of HI, the estimated time is half of the true time when the true model is a modified ...
Model pre-training 我们使用一般的预训练目标来训练主干GNN。这就不需要为分子分析广泛地设计和预训练特定模型的任务。 Prompt addition 通过附加指示性motifs,将独立的分子重新表述为一个 motif prompt。 Prompt fine-tuning 在微调任务中,我们使用motif prompt G' 来代替原始的图 G 。所有参数(或仅涉及那些涉及Prom...
the continuum model allows individuals to be freely distributed in continuous space instead of grouped in spatially fixed demes. In doing so, the effective population size of local demes and migration rates between demes are no longer of concern. In addition, the continuum solves several long-stand...