aradha / deep_neural_feature_ansatzLinks
Code for verifying deep neural feature ansatz
☆19Updated 2 years ago
Alternatives and similar repositories for deep_neural_feature_ansatz
Users that are interested in deep_neural_feature_ansatz are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 months ago
- ☆14Updated last year
- Code for lin-RFM used for sparse recovery tasks☆14Updated 3 months ago
- 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
- ☆19Updated 2 months ago
- ☆15Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 11 months ago
- ☆53Updated 8 months ago
- ☆26Updated 2 years ago
- ☆25Updated last year
- ☆18Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆58Updated 2 years ago
- Library that provides metrics to assess representation quality☆12Updated 4 months ago
- ☆26Updated 2 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 5 months ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated last month
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Scalable training and inference for Probabilistic Circuits☆67Updated last week
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- The Energy Transformer block, in JAX☆58Updated last year
- ☆32Updated 8 months ago
- Code for experiments on transformers using Markovian data.☆15Updated 7 months ago
- ☆17Updated last year
- An annotated implementation of the Hyena Hierarchy paper☆33Updated 2 years ago
- A Python package for intrinsic dimension estimation☆91Updated last month
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".☆40Updated 7 months ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago