ermongroup / fast_feedforward_computationLinks
Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
☆27Updated 3 years ago
Alternatives and similar repositories for fast_feedforward_computation
Users that are interested in fast_feedforward_computation are comparing it to the libraries listed below
Sorting:
- ☆12Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- An adaptive training algorithm for residual network☆15Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated last year
- ☆61Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 3 weeks ago
- ☆24Updated 3 years ago
- ☆41Updated 2 years ago
- Blog post☆17Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- ☆30Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- ☆36Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆61Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yue…☆11Updated 2 months ago
- ☆12Updated 3 months ago
- ☆51Updated 4 years ago
- ☆44Updated last year
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 9 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- ☆18Updated 2 years ago
- ☆15Updated 2 years ago