AaltoML / PeriodicBNNLinks
Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
☆19Updated 4 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)☆88Updated 3 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- ☆15Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- ☆15Updated 4 years ago
- ☆51Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆48Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
- Website for the book "The Elements of Differentiable Programming".☆14Updated 3 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- Sketched linear operations for PyTorch☆92Updated last week
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Random feature latent variable models in Python☆23Updated 2 years ago