jinglingli / nn-extrapolate
☆13Updated 2 years ago
Alternatives and similar repositories for nn-extrapolate
Users that are interested in nn-extrapolate are comparing it to the libraries listed below
Sorting:
- ☆12Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆31Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- ☆15Updated 3 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- ☆51Updated 9 months ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 2 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- ☆53Updated 9 months ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆44Updated 6 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆45Updated 4 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago