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 10 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 11 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated 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
- The Energy Transformer block, in JAX☆58Updated last year
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆83Updated 2 years ago
- ☆26Updated 2 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Code for the paper: Rotating Features for Object Discovery☆52Updated 10 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated last year
- ☆24Updated last year
- ☆18Updated last year
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Code repository for "The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks"☆17Updated last year
- ☆20Updated 9 months 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 8 months ago
- Implementation of the unbounded depth neural network from the paper Variational Inference for Infinitely Deep Neural Networks☆17Updated 2 years ago
- ☆18Updated 2 years ago
- ☆34Updated 2 months ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated 11 months ago
- ☆51Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- ☆26Updated 2 years ago
- ☆17Updated 2 years ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆91Updated 2 weeks ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆37Updated last month
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated 2 years ago
- ☆9Updated 2 years ago