pietrobarbiero / constraint-learningLinks
Constraint-based Learning with Neural Networks
☆15Updated 5 years ago
Alternatives and similar repositories for constraint-learning
Users that are interested in constraint-learning are comparing it to the libraries listed below
Sorting:
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- ☆50Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 10 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- Official code repository to the corresponding paper.☆29Updated 2 years ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Updated 2 years ago
- Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"☆85Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 2 months ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- Awesome list for Neural Network Optimization methods.☆81Updated 11 months ago
- Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"☆18Updated 3 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- ☆12Updated 3 years ago
- Code used for the AAAI 2020 paper "System Identification with Time-Aware Neural Sequence Models"☆16Updated 6 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 2 years ago
- ☆15Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- ☆10Updated 2 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆63Updated 3 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆83Updated 4 years ago