kaibrach / Moment-PropagationLinks
Source Code for the ICML 2020 Paper on Uncertainty & Robustness in Deep Learning
☆17Updated last year
Alternatives and similar repositories for Moment-Propagation
Users that are interested in Moment-Propagation are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation☆24Updated 2 years ago
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆64Updated 7 months ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆70Updated 3 years ago
- codes for paper "Interpretability-Aware Vision Transformer"☆23Updated last year
- ☆44Updated last year
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- ☆11Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆44Updated 3 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- PyTorch implementation of SoftFlow☆58Updated 4 years ago
- ☆38Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆27Updated 2 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups☆36Updated 4 years ago
- C++ and Cuda ops for fused FourierKAN☆80Updated last year
- ☆89Updated last year
- ☆78Updated 4 years ago
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper☆34Updated last year
- ☆8Updated last year
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆51Updated 9 months ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆30Updated 8 months ago
- PyTorch implementation of the Hessian-free optimizer☆36Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated last month
- Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)☆17Updated 4 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 10 months ago
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated last year
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks☆28Updated 2 years ago