nshepperd / gumbel-rao-pytorch

Related projects ⓘ

Alternatives and complementary repositories for gumbel-rao-pytorch

• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆39Updated 4 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆35Updated last year
• NicolasZucchet / Online-learning-LR-dependencies
  Implementation of the "Online learning of long-range dependencies" paper, NeurIPS 2023
  ☆12Updated 3 weeks ago
• choidami / sst
  ☆49Updated 4 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆36Updated 3 years ago
• benrhodes26 / tre_code
  ☆22Updated 3 years ago
• f-dangel / curvlinops
  scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
  ☆18Updated this week
• MichaelArbel / GeneralizedEBM
  ☆53Updated 4 months ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 2 years ago
• chijames / GST
  ☆19Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆69Updated 4 months ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 2 years ago
• locuslab / edge-of-stability
  ☆59Updated 3 years ago
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆32Updated last year
• cunningham-lab / igr
  ☆31Updated 4 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• rgrosse / csc2541_examples
  ☆29Updated 3 years ago
• f-dangel / singd
  [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)
  ☆20Updated 3 weeks ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆45Updated 4 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆107Updated 3 years ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated last year
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆28Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• epfml / REQ
  ☆16Updated 5 months ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆36Updated 5 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• anirudh9119 / neural_production_systems
  ☆15Updated 3 years ago