AaltoML / PeriodicBNNLinks
Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
☆19Updated 3 years ago
Alternatives and similar repositories for PeriodicBNN
Users that are interested in PeriodicBNN are comparing it to the libraries listed below
Sorting:
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- ☆47Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- ☆10Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- ☆15Updated 2 years ago
- Sketched matrix decompositions for PyTorch☆70Updated 2 weeks ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago