Geoopt: Riemannian Optimization in PyTorch

6 May 2020

Papers citing "Geoopt: Riemannian Optimization in PyTorch"

27 / 27 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 43 0 0 26 Apr 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 75 0 0 26 Mar 2025
Predicate Hierarchies Improve Few-Shot State Classification Emily Jin Joy Hsu Jiajun Wu OffRL 79 0 0 18 Feb 2025
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Xing Hu Yuan Cheng Dawei Yang Zukang Xu Zhihang Yuan Jiangyong Yu Chen Xu Zhe Jiang Sifan Zhou MQ 39 5 0 23 Jan 2025
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 49 0 0 31 Oct 2024
Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential Kentaro Hino Yuki Kurashige 34 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 28 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 18 0 0 20 May 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 4 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 26 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
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 29 17 0 05 May 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 34 8 0 12 Apr 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 41 10 0 28 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 25 6 0 26 Jan 2023
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 46 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 16 12 0 15 Sep 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Y. Ma 24 6 0 18 Jun 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 19 53 0 02 Jun 2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering Eli Chien Puoya Tabaghi O. Milenkovic 24 4 0 19 May 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 32 17 0 25 Apr 2022
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning Buyun Liang Tim Mitchell Ju Sun 17 3 0 27 Nov 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 24 71 0 01 Jan 2021
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification F. López Michael Strube 15 28 0 05 Oct 2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering Ines Chami Albert Gu Vaggos Chatziafratis Christopher Ré 23 95 0 01 Oct 2020