KurochkinAlexey / AntisymmetricRNNLinks
Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"
☆15Updated 5 years ago
Alternatives and similar repositories for AntisymmetricRNN
Users that are interested in AntisymmetricRNN are comparing it to the libraries listed below
Sorting:
- Recursive Bayesian Networks☆11Updated 2 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated last year
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated last month
- ☆12Updated 3 years ago
- Blog post☆17Updated last year
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆45Updated 3 years ago
- Code for ICML 2020 paper: Do RNN and LSTM have Long Memory?☆17Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- ☆24Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- ☆22Updated 3 years ago
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆13Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 6 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆33Updated 4 years ago
- ☆50Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)☆11Updated last month
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago