Geoopt: Riemannian Optimization in PyTorch

6 May 2020

Papers citing "Geoopt: Riemannian Optimization in PyTorch"

19 / 19 papers shown

Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 41 0 0 26 Apr 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 72 0 0 26 Mar 2025
Predicate Hierarchies Improve Few-Shot State Classification Emily Jin Joy Hsu Jiajun Wu OffRL 67 0 0 18 Feb 2025
Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential Kentaro Hino Yuki Kurashige 29 0 0 31 Oct 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 41 0 0 31 Oct 2024
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl Noémie Jaquier Jens Lundell Tamim Asfour Danica Kragic AI4CE 26 0 0 24 Oct 2024
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space Jacob Fein-Ashley Ethan Feng Minh Pham 30 3 0 25 Sep 2024
A Metric-based Principal Curve Approach for Learning One-dimensional Manifold E. Cui 11 0 0 20 May 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 35 3 0 18 Mar 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Nicolas Courty Rémi Flamary Pascal Frossard Titouan Vayer 13 3 0 03 Feb 2024
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction Zhiying Leng Shun-cheng Wu Mahdi Saleh Antonio Montanaro Hao Yu Yin Wang Nassir Navab Xiaohui Liang Federico Tombari 3DH 26 7 0 06 Sep 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 19 8 0 12 Apr 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 19 10 0 28 Mar 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 18 6 0 26 Jan 2023
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 33 31 0 21 Sep 2022
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification Karish Grover S. Angara Md. Shad Akhtar Tanmoy Chakraborty 11 12 0 15 Sep 2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering Eli Chien Puoya Tabaghi O. Milenkovic 8 4 0 19 May 2022
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning Buyun Liang Tim Mitchell Ju Sun 13 3 0 27 Nov 2021
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification F. López Michael Strube 11 28 0 05 Oct 2020