AlexandraVolokhova / stochasticity_in_neural_ode
"Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper
☆13Updated 4 years ago
Alternatives and similar repositories for stochasticity_in_neural_ode:
Users that are interested in stochasticity_in_neural_ode 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
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆31Updated 2 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆28Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- orbital MCMC☆10Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆11Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆36Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Convex potential flows☆82Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆29Updated 4 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆27Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- ☆10Updated 5 years ago
- ☆22Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- ☆45Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 6 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 6 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 3 years ago