hiroyuki-kasai
Research interests include machine learning, optimization and multimedia signal processing.
Ph.D, Professor, WASEDA UniversityTokyo, JAPAN
hiroyuki-kasai's Stars
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
chihming/awesome-network-embedding
A curated list of network embedding techniques.
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
JeanKossaifi/tensorly-notebooks
Tensor methods in Python with TensorLy
mctorch/mctorch
A manifold optimization library for deep learning
arogozhnikov/infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
hiroyuki-kasai/HybridPrecodingOpt
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
canyilu/Tensor-tensor-product-toolbox
tensor-tensor product toolbox
hiroyuki-kasai/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
xwcao/LowRankTRN
Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
salimandre/unsupervised-image-segmentation-persistent-homology
Unsupervised image segmentation by applying topological data analysis techniques.
Sohl-Dickstein/LAHMC
Look Ahead Hamiltonian Monte Carlo
felipeyanez/nmf
Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
tonyabracadabra/Deep-Subspace-Clustering
Subspace clustering through the deep learning approach
madhavcsa/Low-Rank-Tensor-Completion
A Dual Framework for Low-rank Tensor Completion
hiroyuki-kasai/SimpleDeepNetToolbox
Simple MATLAB toolbox for deep learning network: Version 1.0.3
shuaiOKshuai/D2AGE
The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
hiroyuki-kasai/SSPW-kmeans
Sparse simplex projection-based Wasserstein k-means
jmdvinodjmd/LIBS2ML
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
colehawkins/Robust-Streaming-Tensor-Factorization
Fzx-oss/WWLS
hiroyuki-kasai/CI-GMVC
Consistency-aware and inconsistency-aware graph-based multi-view clustering
madhavcsa/SIITA
Side Information infused Incremental Tensor Analysis
hiroyuki-kasai/Subsampled-RTR
Subsampled Riemannian trust-region (RTR) algorithms
SatyadevNtv/MOT
Manifold optimization based Optimal Transport
satwikkottur/StochasticMCMC
MCMC for posterior distribution sampling
bamdevm/Riemannian-preconditioning-for-tensor-regression-and-completion
AkiraJM/LCSGK
salayatana66/learn_to_transport_code
WIP
xiaohan2012/sghmc-matlab
Matlab Implementation for Stochastic Gradient Hamiltonian Monte Carlo