Joey Bose
2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Joey Bose trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Joey Bose's perspective
Ordered by how strongly the researchers Joey Bose trusts endorse each paper. Same corpus, a different order for every researcher.
- Variational Inference with Normalizing Flows
- Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
- Neural Ordinary Differential Equations
- Deep Unsupervised Learning using Nonequilibrium Thermodynamics
- Generative Modeling by Estimating Gradients of the Data Distribution
- Gradient-based learning applied to document recognition
Their papers
- Matching Normalizing Flows and Probability Paths on Manifolds (2022) — 64 citations