wecarsoniv / beta-divergence-metrics

Related projects: ⓘ

• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 3 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆63Updated 2 years ago
• thomassutter / MoPoE
  Code release for ICLR 2021 paper "Generalised Multimodal ELBO"
  ☆32Updated last year
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆19Updated last year
• thomassutter / mmjsd
  Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
  ☆17Updated last year
• GAMES-UChile / Wasserstein-Fourier
  ☆12Updated 3 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆41Updated 5 years ago
• siplab-gt / hiwa-matlab
  Hierarchical Wasserstein Alignment
  ☆9Updated 4 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆22Updated 4 months ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆31Updated 2 years ago
• mrojascarulla / causal_transfer_learning
  ☆30Updated 6 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆71Updated 2 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆21Updated 2 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated last month
• HHalva / snica
  Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21
  ☆17Updated 3 months ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆22Updated 5 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆26Updated 4 years ago
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆12Updated last year
• akekic / causal-component-analysis
  ☆21Updated 9 months ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 4 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 2 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆33Updated 2 years ago
• rheasukthanker / SPDNetNAS
  Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021
  ☆13Updated 2 years ago
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆23Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆19Updated 3 years ago
• scrambledpie / GPVAE
  Train and visualise a latent variable model of moving objects.
  ☆14Updated 4 years ago
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆14Updated 7 months ago
• kimiandj / gsw
  ☆39Updated 4 years ago
• j-zarka / SparseScatNet
  Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning
  ☆25Updated 3 years ago