Yu-Group / adaptive-wavelets
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
☆74Updated 2 years ago
Alternatives and similar repositories for adaptive-wavelets:
Users that are interested in adaptive-wavelets are comparing it to the libraries listed below
- ☆39Updated 4 years ago
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆32Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 8 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- ☆19Updated 3 years ago
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 3 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆14Updated last year
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated 11 months ago
- ☆23Updated 3 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 2 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 6 years ago
- PyTorch implementation of the paper: 'Neural Network compression via learnable wavelet transforms', International Conference on Artificia…☆25Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Hypercomplex Neural Networks with PyTorch☆53Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆43Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- ☆28Updated 2 years ago
- ☆32Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence☆12Updated 11 months ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated last year
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- L1-regularized least squares with PyTorch☆64Updated last year
- Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).☆27Updated 2 years ago
- Vector Quantile Regression☆19Updated last year
- ☆13Updated 4 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆73Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆119Updated 2 years ago