Prerequisite chain
Prerequisites for Deep Generative Models for Molecules
Topics you need before working through Deep Generative Models for Molecules. Direct prerequisites are listed first; transitive prerequisites (the chain reachable through them) follow.
Direct prerequisites (2)
- Variational Autoencoderslayer 3, tier 1
- Diffusion Modelslayer 4, tier 1
Reachable through the chain (37)
These topics are not directly cited as prerequisites but are reached transitively by following the chain upward. Working through the direct prerequisites pulls these in.
- Autoencoderslayer 2, tier 2
- Feedforward Networks and Backpropagationlayer 2, tier 1
- Differentiation in Rnlayer 0A, tier 1
- Sets, Functions, and Relationslayer 0A, tier 1
- Basic Logic and Proof Techniqueslayer 0A, tier 2
- Vectors, Matrices, and Linear Mapslayer 0A, tier 1
- Continuity in Rⁿlayer 0A, tier 1
- Metric Spaces, Convergence, and Completenesslayer 0A, tier 1
- Matrix Calculuslayer 1, tier 1
- The Jacobian Matrixlayer 0A, tier 1
- The Hessian Matrixlayer 0A, tier 1
- Matrix Operations and Propertieslayer 0A, tier 1
- Eigenvalues and Eigenvectorslayer 0A, tier 1
- Activation Functionslayer 1, tier 1
- Convex Optimization Basicslayer 1, tier 1
- Maximum Likelihood Estimation: Theory, Information Identity, and Asymptotic Efficiencylayer 0B, tier 1
- Common Probability Distributionslayer 0A, tier 1
- Central Limit Theoremlayer 0B, tier 1
- Law of Large Numberslayer 0B, tier 1
- Random Variableslayer 0A, tier 1
- Kolmogorov Probability Axiomslayer 0A, tier 1
- Expectation, Variance, Covariance, and Momentslayer 0A, tier 1
- KL Divergencelayer 1, tier 1
- Information Theory Foundationslayer 0B, tier 2
- Score Matchinglayer 3, tier 1
- Stochastic Differential Equationslayer 3, tier 2
- Ito's Lemmalayer 3, tier 2
- Stochastic Calculus for MLlayer 3, tier 3
- Martingale Theorylayer 0B, tier 2
- Measure-Theoretic Probabilitylayer 0B, tier 1
- Fokker–Planck Equationlayer 3, tier 2
- PDE Fundamentals for Machine Learninglayer 1, tier 2
- Fast Fourier Transformlayer 1, tier 2
- Exponential Function Propertieslayer 0A, tier 1
- Functional Analysis Corelayer 0B, tier 2
- Inner Product Spaces and Orthogonalitylayer 0A, tier 1
- Fisher Information: Curvature, KL Geometry, and the Natural Gradientlayer 0B, tier 1