gallego-posada / constrained_sparsity
Official implementation for the paper "Controlled Sparsity via Constrained Optimization"
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for constrained_sparsity
- 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
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆42Updated 3 years ago
- scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch☆17Updated last week
- ☆15Updated last year
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆19Updated last week
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆10Updated last year
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆55Updated 2 years ago
- ☆32Updated last year
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…☆13Updated 9 months ago
- Optimizing neural networks via an inverse scale space flow.☆15Updated 9 months ago
- ☆45Updated last year
- EP☆15Updated 3 years ago
- PyTorch Implementation of the CLIP Algorithm☆12Updated last month
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 3 years ago
- ☆25Updated last year
- [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation☆11Updated last year
- ☆32Updated 2 years ago
- ☆9Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆69Updated 3 months ago
- ☆10Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆18Updated 3 years ago
- ☆59Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- ☆28Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated 2 weeks ago
- ☆36Updated 2 years ago
- Distributed K-FAC Preconditioner for PyTorch☆80Updated this week
- Code to simulate energy-based neuromorphic platforms and learning algorithms for such platforms☆13Updated 5 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆76Updated 5 months ago
- ☆22Updated 4 years ago