tensorflow-riemopt: A Library for Optimization on Riemannian Manifolds
Fuente:
arXiv
Saved in:
| Main Author: | Smirnov, Oleg |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
by: Antunes, Benjamin, et al.
Published: (2024)
by: Antunes, Benjamin, et al.
Published: (2024)
Cooper: A Library for Constrained Optimization in Deep Learning
by: Gallego-Posada, Jose, et al.
Published: (2025)
by: Gallego-Posada, Jose, et al.
Published: (2025)
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds
by: Linwu, Jun, et al.
Published: (2025)
by: Linwu, Jun, et al.
Published: (2025)
A Lie Group Approach to Riemannian Batch Normalization
by: Chen, Ziheng, et al.
Published: (2024)
by: Chen, Ziheng, et al.
Published: (2024)
Computing Arrangements of Hypersurfaces
by: Breiding, Paul, et al.
Published: (2024)
by: Breiding, Paul, et al.
Published: (2024)
LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
by: Wang, Jiaping, et al.
Published: (2025)
by: Wang, Jiaping, et al.
Published: (2025)
A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
by: Yang, James, et al.
Published: (2024)
by: Yang, James, et al.
Published: (2024)
TTK is Getting MPI-Ready
by: Guillou, Eve Le, et al.
Published: (2023)
by: Guillou, Eve Le, et al.
Published: (2023)
A Framework for Symmetric Self-Intersecting Surfaces
by: Amend, Christian, et al.
Published: (2023)
by: Amend, Christian, et al.
Published: (2023)
chipfiring: A Python Package for Efficient Mathematical Analysis of Chip-Firing Games on Multigraphs
by: Mavani, Dhyey Dharmendrakumar, et al.
Published: (2025)
by: Mavani, Dhyey Dharmendrakumar, et al.
Published: (2025)
scikit-fda: A Python Package for Functional Data Analysis
by: Ramos-Carreño, Carlos, et al.
Published: (2022)
by: Ramos-Carreño, Carlos, et al.
Published: (2022)
NUBO: A Transparent Python Package for Bayesian Optimization
by: Diessner, Mike, et al.
Published: (2023)
by: Diessner, Mike, et al.
Published: (2023)
Escher Tile Deformation via Closed-Form Solution
by: Chen, Crane He, et al.
Published: (2025)
by: Chen, Crane He, et al.
Published: (2025)
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning
by: Liu, Jiashuo, et al.
Published: (2025)
by: Liu, Jiashuo, et al.
Published: (2025)
BlackJAX: Composable Bayesian inference in JAX
by: Cabezas, Alberto, et al.
Published: (2024)
by: Cabezas, Alberto, et al.
Published: (2024)
Efficiently Vectorized MCMC on Modern Accelerators
by: Dance, Hugh, et al.
Published: (2025)
by: Dance, Hugh, et al.
Published: (2025)
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
by: Bokde, Neeraj Dhanraj
Published: (2024)
by: Bokde, Neeraj Dhanraj
Published: (2024)
Differentiable Parameter Optimization for DAEs with State-Dependent Events
by: Matei, Ion, et al.
Published: (2026)
by: Matei, Ion, et al.
Published: (2026)
Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation
by: Andelfinger, Philipp, et al.
Published: (2026)
by: Andelfinger, Philipp, et al.
Published: (2026)
hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)
by: Panda, Sambit, et al.
Published: (2019)
Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
by: Barket, Rashid, et al.
Published: (2024)
by: Barket, Rashid, et al.
Published: (2024)
Goodness-of-Fit and Clustering of Spherical Data: the QuadratiK package in R and Python
by: Saraceno, Giovanni, et al.
Published: (2024)
by: Saraceno, Giovanni, et al.
Published: (2024)
Parallel Redundancy Removal in lrslib with Application to Projections
by: Avis, David, et al.
Published: (2024)
by: Avis, David, et al.
Published: (2024)
evomap: A Toolbox for Dynamic Mapping in Python
by: Matthe, Maximilian
Published: (2025)
by: Matthe, Maximilian
Published: (2025)
Adaptation of XAI to Auto-tuning for Numerical Libraries
by: Aoki, Shota, et al.
Published: (2024)
by: Aoki, Shota, et al.
Published: (2024)
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
by: Valentin, Romeo, et al.
Published: (2025)
by: Valentin, Romeo, et al.
Published: (2025)
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)
by: Hajij, Mustafa, et al.
Published: (2024)
cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
by: Qiu, Yixuan
Published: (2026)
by: Qiu, Yixuan
Published: (2026)
tvopt: A Python Framework for Time-Varying Optimization
by: Bastianello, Nicola
Published: (2020)
by: Bastianello, Nicola
Published: (2020)
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
by: Saves, Paul, et al.
Published: (2023)
by: Saves, Paul, et al.
Published: (2023)
A method of using RSVD in residual calculation of LowBit GEMM
by: Gu, Hongyaoxing
Published: (2024)
by: Gu, Hongyaoxing
Published: (2024)
PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs
by: Cole, David L, et al.
Published: (2024)
by: Cole, David L, et al.
Published: (2024)
Learning to Optimize by Differentiable Programming
by: Tao, Liping, et al.
Published: (2026)
by: Tao, Liping, et al.
Published: (2026)
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
by: Cheng, Sibo, et al.
Published: (2024)
by: Cheng, Sibo, et al.
Published: (2024)
MiniTensor: A Lightweight, High-Performance Tensor Operations Library
by: Sarkar, Soumyadip
Published: (2026)
by: Sarkar, Soumyadip
Published: (2026)
Giga-scale Kernel Matrix Vector Multiplication on GPU
by: Hu, Robert, et al.
Published: (2022)
by: Hu, Robert, et al.
Published: (2022)
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
by: Zaher, Eslam, et al.
Published: (2024)
by: Zaher, Eslam, et al.
Published: (2024)
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
by: Zhang, Xiaoyuan, et al.
Published: (2024)
by: Zhang, Xiaoyuan, et al.
Published: (2024)
Self-Scaled Broyden Family of Quasi-Newton Methods in JAX
by: Bioli, Ivan, et al.
Published: (2026)
by: Bioli, Ivan, et al.
Published: (2026)
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
by: Subramonian, Arjun, et al.
Published: (2025)
by: Subramonian, Arjun, et al.
Published: (2025)
Similar Items
-
Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
by: Antunes, Benjamin, et al.
Published: (2024) -
Cooper: A Library for Constrained Optimization in Deep Learning
by: Gallego-Posada, Jose, et al.
Published: (2025) -
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds
by: Linwu, Jun, et al.
Published: (2025) -
A Lie Group Approach to Riemannian Batch Normalization
by: Chen, Ziheng, et al.
Published: (2024) -
Computing Arrangements of Hypersurfaces
by: Breiding, Paul, et al.
Published: (2024)