Fast and Easy Infinite Neural Networks in Python
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Updated
Mar 1, 2024 - Jupyter Notebook
Fast and Easy Infinite Neural Networks in Python
Pytorch implementation of DGflow (ICLR 2021).
Numeric simulation of a 2D Bose Einstein condensate
[ICML2022] Variational Wasserstein gradient flow
Solver for differential algebraic equations
Variational Filtering via Wasserstein Gradient Flow
[NeurIPS 2022] Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again by Ajay Jaiswal*, Peihao Wang*, Tianlong Chen, Justin F Rousseau, Ying Ding, Zhangyang Wang
Senior Project for Statistics & Data Science at Yale University
Yale S&DS 432 final project studying lazy training dynamics for differentiable optimization problems
Utilities of gauge fields coupled with higher-form gauge fields
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
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