guanghelee / iclr20-locally-constant-netsLinks
"Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
☆22Updated 4 years ago
Alternatives and similar repositories for iclr20-locally-constant-nets
Users that are interested in iclr20-locally-constant-nets are comparing it to the libraries listed below
Sorting:
- ☆30Updated 2 years ago
- ☆12Updated 4 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- ☆16Updated 4 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆21Updated last year
- Course Website☆9Updated 3 years ago
- Codebase for Evaluating Attribution for Graph Neural Networks.☆81Updated 4 years ago
- Learning Tree structures and Tree metrics☆23Updated 9 months ago
- Random feature latent variable models in Python☆22Updated last year
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago