LC-John / RNN2DFALinks
Extracting minimal DFA's from well-trained RNN's
☆11Updated 7 years ago
Alternatives and similar repositories for RNN2DFA
Users that are interested in RNN2DFA are comparing it to the libraries listed below
Sorting:
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated 2 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆56Updated 2 years ago
- ☆123Updated last year
- ☆53Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆121Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- ☆49Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019☆18Updated 5 years ago
- ☆18Updated 7 months ago
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆20Updated 5 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆69Updated 10 months ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆101Updated 3 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- ☆18Updated 8 months ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆130Updated 2 weeks ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆22Updated 2 years ago
- ☆31Updated 3 years ago
- EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages☆24Updated 5 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Updated 11 months ago
- ☆57Updated last year
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago