hans-riess

Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

elementary-stats

gated_gcrnns

Gated graph convolutional recurrent neural networks code used in:

graph-learning

hans-riess.github.io

HGLearning

Stable and transferable hypergraph learning in PyTorch

P_MAS_TG

Planner for Multiple Agent System with Temporal Goals

prefdynamo

Code accompanying paper "Network Preference Dynamics using Lattice Theory"

pygsig

hans-riess/hans-riess.github.io

hans-riess/P_MAS_TG

Planner for Multiple Agent System with Temporal Goals

hans-riess/pygsig

hans-riess/Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

hans-riess/DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

hans-riess/elementary-stats

hans-riess/gated_gcrnns

Gated graph convolutional recurrent neural networks code used in:

hans-riess/graph-learning

hans-riess/HGLearning

Stable and transferable hypergraph learning in PyTorch

hans-riess/kiawahbabysitter.github.io

hans-riess/LatticeCNN

Code accompanying paper "Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions"

hans-riess/neural-sheaf-diffusion

hans-riess/paywall_genie

hans-riess/prefdynamo

Code accompanying paper "Network Preference Dynamics using Lattice Theory"

hans-riess/RRAgU

Accompanying code for "Max-Plus Synchronization in Decentralized Trading Systems"

hans-riess/S_Deep-Fish-Landmark-Detection-train

hans-riess/TNNs

Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"

hans-riess/pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

hans-riess/seq2tens

Seq2Tens: An efficient representation of sequences by low-rank tensor projections

hans-riess/signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

hans-riess/text_introductory-statistics

Introductory Statistics