juliagusak / neural-ode-metasolver
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
☆24Updated 3 years ago
Alternatives and similar repositories for neural-ode-metasolver:
Users that are interested in neural-ode-metasolver are comparing it to the libraries listed below
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- ☆11Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆18Updated 3 years ago
- ☆29Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 6 months ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆31Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆35Updated 3 years ago
- ☆53Updated 7 months ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- ☆20Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 weeks ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆18Updated last year