Awni00 / abstractorLinks
This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers"
☆17Updated 11 months ago
Alternatives and similar repositories for abstractor
Users that are interested in abstractor are comparing it to the libraries listed below
Sorting:
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- The Energy Transformer block, in JAX☆59Updated last year
- ☆16Updated last year
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆95Updated last month
- ☆13Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- ☆24Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Code repository for "The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks"☆17Updated last year
- ☆26Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de H…☆10Updated 9 months ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated 2 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- NF-Layers for constructing neural functionals.☆88Updated last year
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Scalable training and inference for Probabilistic Circuits☆72Updated 3 weeks ago
- ☆51Updated last year
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆39Updated 2 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆15Updated 6 months ago
- Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"☆38Updated last year
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago