aradha / lin-RFMLinks
Code for lin-RFM used for sparse recovery tasks
☆15Updated 8 months ago
Alternatives and similar repositories for lin-RFM
Users that are interested in lin-RFM are comparing it to the libraries listed below
Sorting:
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Code for verifying deep neural feature ansatz☆20Updated 2 years ago
- ☆58Updated 7 months ago
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆25Updated last year
- Mutual information estimators and benchmark☆54Updated 2 months ago
- ☆66Updated 7 months ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆13Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 4 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆62Updated last year
- ☆24Updated last year
- ☆16Updated last year
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- ☆61Updated last year
- ☆29Updated 3 years ago
- ☆33Updated last year
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 5 months ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆21Updated last year
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 2 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated this week
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆51Updated 2 months ago
- An annotated implementation of the Hyena Hierarchy paper☆34Updated 2 years ago
- A simple example of VAEs with KANs☆11Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago