wouterkool / ancestral-gumbel-top-k-sampling
Ancestral Gumbel-Top-k Sampling
☆23Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ancestral-gumbel-top-k-sampling
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ☆65Updated 3 months ago
- Code accompanying our paper at AISTATS 2020☆21Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆99Updated 4 years ago
- ☆45Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆84Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆27Updated 4 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆22Updated 5 years ago
- A neural network architecture for prediction on sets☆23Updated 2 years ago
- A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…☆22Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- ☆49Updated last year
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆12Updated 3 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆23Updated last year
- PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murra…☆40Updated 4 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago