rgrosse / csc2541_examples
☆29Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for csc2541_examples
- Natural Gradient, Variational Inference☆29Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆128Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆115Updated 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
- ☆97Updated 2 years ago
- ☆36Updated 3 years ago
- ☆67Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- ☆19Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Convolutional Neural Tangent Kernel☆107Updated 5 years ago
- ☆33Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- ☆53Updated 3 months ago
- ☆78Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆62Updated 9 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆38Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated last year