Pytorch implementation of DGflow (ICLR 2021).
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Updated
Mar 3, 2021 - Python
Pytorch implementation of DGflow (ICLR 2021).
[NeurIPS'25] Sequence Modeling with Spectral Mean Flows, in PyTorch
Numeric simulation of a 2D Bose Einstein condensate
[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
Solver for differential algebraic equations
Variational Filtering via Wasserstein Gradient Flow
Kinetic Adaptation via Wasserstein Heuristics and Identity
Accelerated Stein Variational Gradient Descent for sampling for densities
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
Discreteness as the Late-Time Limit of a Smooth Flow
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
High-Dimensional Analysis of Gradient Flow for the Matrix Factorization Problem
A detailed-balanced chemical reaction network realized as a gradient flow, where equilibrium propagation is rigorous — the chemistry computes its own weight update (verified: local update == true gradient). Audits 'who computes the update?' across a co-location spectrum vs an offline ceiling. Part of physical-learning-substrates.
Unity Equilibrium Theory - Dual-field gradient flow simulator for phase dynamics
Supplementary code for the paper 'Are GATs Out of Balance?' to be published at NeurIPS 2023
Independent research on inactive-neuron entry-exit dynamics, with mathematical analysis, archived experiments, reproducibility guides, and a connected research roadmap.
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