kaibrach / Moment-PropagationLinks
Source Code for the ICML 2020 Paper on Uncertainty & Robustness in Deep Learning
☆17Updated 2 years ago
Alternatives and similar repositories for Moment-Propagation
Users that are interested in Moment-Propagation are comparing it to the libraries listed below
Sorting:
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆64Updated 10 months ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- Meta Optimal Transport☆104Updated 2 years ago
- ☆34Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆29Updated 2 years ago
- [NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation☆24Updated 2 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆71Updated 3 years ago
- PyTorch implementation of SoftFlow☆58Updated 5 years ago
- ☆11Updated 2 years ago
- ☆44Updated last year
- PyTorch implementation of the Hessian-free optimizer☆36Updated last year
- Recyclable Gaussian Processes☆11Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 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
- Texture mapping with variational auto-encoders☆40Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆39Updated 2 years ago
- codes for paper "Interpretability-Aware Vision Transformer"☆22Updated 2 years ago
- Physarum Powered Differentiable Linear Programming Layers☆18Updated 3 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆23Updated last year
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆29Updated 4 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆105Updated 5 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated 11 months ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆84Updated last year
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆46Updated 4 years ago