f=32, KL (d=64)2.0440676322.27 +/- 3.931.41 +/- 0.40https://ommer-lab.com/files/latent-diffusion/kl-f32.zip Get the models Running the following script downloads und extracts all available pretrained autoencoding models. bash scripts/download_first_stages.sh ...
DILab决策实验室:最前沿——决策智能与强化学习(1):Transformer in RL358 赞同 · 4 评论文章 随着人工智能技术的迅猛发展,构建通用人工智能(Artificial General Intelligence,AGI)已成为学术界和工业界的共同追求。AGI 的目标是使机器具备类似人类的感知、理解、推理和学习能力,从而能在复杂多变的环境中独立解决问题...
FFHQ Unconditional Image Synthesis LDM-VQ-4 (200 DDIM steps, eta=1) 4.98 (4.98) 4.50 (4.50) 0.73 0.50 https://ommer-lab.com/files/latent-diffusion/ffhq.zip LSUN-Churches Unconditional Image Synthesis LDM-KL-8 (400 DDIM steps, eta=0) 4.02 (4.02) 2.72 0.64 0.52 https://ommer-lab.com...
imclab / models-1 Impertatore / models imranmu / models-1 ineedgrowup / models informaticacba / py-onnx-models ingeniousfrog / models-1 innovad / models inuyashachang / models IRONICBo / models IrrigationEngineer / models IrvingShu / models-1 ...
f=8, KL0.9024.19 +/- 4.191.02 +/- 0.35https://ommer-lab.com/files/latent-diffusion/kl-f8.zip f=16, KL (d=16)0.8724.08 +/- 4.221.07 +/- 0.36https://ommer-lab.com/files/latent-diffusion/kl-f16.zip f=32, KL (d=64)2.0422.27 +/- 3.931.41 +/- 0.40https://ommer-lab.com...
[30]) in our lab, upon intracerebral implantation only E98 cells cultured as neurospheres retained the capacity to diffusely infiltrate into the brain parenchyma, whereas E98 cells grown under serum conditions had lost this capacity (Fig.3). Similar observations were made by others [82]. The ...
connection density matrices were obtained using a fully automated fiber tractography algorithm79and intravoxel fiber distribution reconstruction80. For any subject and pair of regionskandl, the∁lkmeasure (\({0\le \complement }_{{lk}}\le 1,{\complement }_{{lk}}={\complement }_{{kl}}\))...
Symmetric KL distance was measured between the model’s predictions; low value indicates small distance. Note that in some simulation conditions the exploratory DNN model’s predictions converged with the reward-oblivious model’s and not with the reward-oriented model’s predications, and vice ...
MIND-Lab/OCTIS BranchesTags Folders and files Name Last commit message Last commit date Latest commit History 1,150 Commits .github docs examples octis preprocessed_datasets tests trained_embeddings/test_example .editorconfig .gitignore AUTHORS.rst...
Huang, Krueger, Lacoste, Courville https://medium.com/element-ai-research-lab/neural-autoregressive-flows-f164d6b8e462 https://arxiv.org/pdf/1804.00779.pdf https://github.com/CW-Huang/NAF Gaussian process prior variational autoencoders. Casale, Dalca, Sagletti, Listgarten, Fusi https://...