Search results for "Manifolds"

Hits ?▲	Authors	Title	Venue	Year	Link
11	Wooyoung Chung, Daniel Polani, Stas Tiomkin	Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis.	CoRR	2023	DBLP DOI BibTeX RDF
11	Shixiao W. Jiang, Rongji Li, Qile Yan, John Harlim	Generalized Finite Difference Method on unknown manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yihao Fang, Ilsang Ohn, Vijay Gupta 0001, Lizhen Lin	Intrinsic and extrinsic deep learning on manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Harshavardhana T. Gowda, Lee M. Miller	Topology of Surface Electromyogram Signals: Hand Gesture Decoding on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang	Probabilistic and semantic descriptions of image manifolds and their applications.	Frontiers Comput. Sci.	2023	DBLP DOI BibTeX RDF
11	David H. Gutman, Nam Ho-Nguyen	Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds.	Math. Oper. Res.	2023	DBLP DOI BibTeX RDF
11	Sahu D. R., Babu Feeroz, Sharma Shikher	A new self-adaptive iterative method for variational inclusion problems on Hadamard manifolds with applications.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
11	Zhi Zhao, Qin Zeng, Yu-Nong Xu, Yaguan Qian, Teng-Teng Yao	A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds.	Numer. Algorithms	2023	DBLP DOI BibTeX RDF
11	Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu 0001	A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds.	Math. Program.	2023	DBLP DOI BibTeX RDF
11	Gilles Bareilles, Franck Iutzeler, Jérôme Malick	Newton acceleration on manifolds identified by proximal gradient methods.	Math. Program.	2023	DBLP DOI BibTeX RDF
11	Zhi Gao, Yuwei Wu 0001, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia	Learning to Optimize on Riemannian Manifolds.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
11	Feihu Huang, Shangqian Gao	Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
11	Qile Yan, Shixiao W. Jiang, John Harlim	Kernel-Based Methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
11	Abram Rodgers, Daniele Venturi 0002	Implicit Integration of Nonlinear Evolution Equations on Tensor Manifolds.	J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
11	Zhou Sheng, Jianze Li, Qin Ni	Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations.	Math. Comput.	2023	DBLP DOI BibTeX RDF
11	Yuan Gao 0004, Tiejun Li, Xiaoguang Li, Jian-Guo Liu	Transition Path Theory for Langevin Dynamics on Manifolds: Optimal Control and Data-Driven Solver.	Multiscale Model. Simul.	2023	DBLP DOI BibTeX RDF
11	Chao Tan, Huan Zhao, Han Ding 0001	Statistical initialization of intrinsic K-means clustering on homogeneous manifolds.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
11	Balendu Bhooshan Upadhyay, Arnav Ghosh	On Constraint Qualifications for Mathematical Programming Problems with Vanishing Constraints on Hadamard Manifolds.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
11	Xiangmei Wang, Jinhua Wang, Chong Li	Convergence of Inexact Steepest Descent Algorithm for Multiobjective Optimizations on Riemannian Manifolds Without Curvature Constraints.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
11	Nima Eslami, Behzad Najafi, Seyed Mansour Vaezpour	A Trust Region Method for Solving Multicriteria Optimization Problems on Riemannian Manifolds.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
11	Shahabeddin Najafi, Masoud Hajarian	Multiobjective Conjugate Gradient Methods on Riemannian Manifolds.	J. Optim. Theory Appl.	2023	DBLP DOI BibTeX RDF
11	Hyunjin Ahn, Junhyeok Byeon, Seung-Yeal Ha, Jaeyoung Yoon	Asymptotic Tracking of a Point Cloud Moving on Riemannian Manifolds.	SIAM J. Control. Optim.	2023	DBLP DOI BibTeX RDF
11	Paolo Cavicchioli	An algorithmic method to compute plat slide moves in 3-manifolds of Heegaard genus two.	Discret. Math.	2023	DBLP DOI BibTeX RDF
11	Yan-Ping Liang, De-Cheng Feng, Xiaodan Ren, Jie Li	Three-stage non-Gaussian homogeneous random field representation over manifolds.	Comput. Aided Civ. Infrastructure Eng.	2023	DBLP DOI BibTeX RDF
11	Chenkai Tan, Yingfeng Cai, Hai Wang 0003, Xiaoqiang Sun, Long Chen 0003	Vehicle State Estimation Combining Physics-Informed Neural Network and Unscented Kalman Filtering on Manifolds.	Sensors	2023	DBLP DOI BibTeX RDF
11	Jing Li 0031, Ziyu Guo, Shaotao Zhu, Ting Gao	Bifurcation of periodic orbits and its application for high-dimensional piecewise smooth near integrable systems with two switching manifolds.	Commun. Nonlinear Sci. Numer. Simul.	2023	DBLP DOI BibTeX RDF
11	Ernest Fontich, Arturo Vieiro	Dynamics near the invariant manifolds after a Hamiltonian-Hopf bifurcation.	Commun. Nonlinear Sci. Numer. Simul.	2023	DBLP DOI BibTeX RDF
11	Qianqian Jiang, Wanyang Dai	Fast simulation for Gaussian random fields on compact Riemannian manifolds.	Commun. Nonlinear Sci. Numer. Simul.	2023	DBLP DOI BibTeX RDF
11	Yihao Fang, Mu Niu, Pokman Cheung, Lizhen Lin	Extrinsic Bayesian Optimization on Manifolds.	Algorithms	2023	DBLP DOI BibTeX RDF
11	Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo	Reactive motion generation on learned Riemannian manifolds.	Int. J. Robotics Res.	2023	DBLP DOI BibTeX RDF
11	Jean-Daniel Boissonnat, Ramsay Dyer, Arijit Ghosh, Mathijs Wintraecken	Local Criteria for Triangulating General Manifolds.	Discret. Comput. Geom.	2023	DBLP DOI BibTeX RDF
11	Pim van der Hoorn, Gabor Lippner, Carlo A. Trugenberger, Dmitri Krioukov	Ollivier Curvature of Random Geometric Graphs Converges to Ricci Curvature of Their Riemannian Manifolds.	Discret. Comput. Geom.	2023	DBLP DOI BibTeX RDF
11	Raphaël Tinarrage	Recovering the Homology of Immersed Manifolds.	Discret. Comput. Geom.	2023	DBLP DOI BibTeX RDF
11	Luís Barreira, Cláudia Valls	Center manifolds for delay-differential equations with variable argument.	Period. Math. Hung.	2023	DBLP DOI BibTeX RDF
11	Xiaomin Chen, Yifan Yang	Static perfect fluid space-time on contact metric manifolds.	Period. Math. Hung.	2023	DBLP DOI BibTeX RDF
11	Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki	Learning stable robotic skills on Riemannian manifolds.	Robotics Auton. Syst.	2023	DBLP DOI BibTeX RDF
11	Shumeet Baluja	The infinite doodler: expanding textures within tightly constrained manifolds.	Vis. Comput.	2023	DBLP DOI BibTeX RDF
11	Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe	Semisupervised regression in latent structure networks on unknown manifolds.	Appl. Netw. Sci.	2023	DBLP DOI BibTeX RDF
11	Oleg Davydov	Error bounds for a least squares meshless finite difference method on closed manifolds.	Adv. Comput. Math.	2023	DBLP DOI BibTeX RDF
11	Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin	Domain Adaptation as Optimal Transport on Grassmann Manifolds.	IEEE Trans. Neural Networks Learn. Syst.	2023	DBLP DOI BibTeX RDF
11	Zhen Liu, Changzhen Hu, Chun Shan, Zheng Yan 0002	ADCaDeM: A Novel Method of Calculating Attack Damage Based on Differential Manifolds.	IEEE Trans. Dependable Secur. Comput.	2023	DBLP DOI BibTeX RDF
11	Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb	Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds.	SIAM J. Imaging Sci.	2023	DBLP DOI BibTeX RDF
11	Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou 0001, Dacheng Tao, Xuelong Li 0001	VTAE: Variational Transformer Autoencoder With Manifolds Learning.	IEEE Trans. Image Process.	2023	DBLP DOI BibTeX RDF
11	Nathan Mankovich, Tolga Birdal	Chordal Averaging on Flag Manifolds and Its Applications.	ICCV	2023	DBLP DOI BibTeX RDF
11	Jianfeng Xiang, Jiaolong Yang, Yu Deng 0006, Xin Tong 0001	GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds.	ICCV	2023	DBLP DOI BibTeX RDF
11	Ke Lu 0001, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du	Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization.	CIKM	2023	DBLP DOI BibTeX RDF
11	Yetong Zhang, Fan Jiang, Gerry Chen, Varun Agrawal, Adam Rutkowski, Frank Dellaert	Constraint Manifolds for Robotic Inference and Planning.	ICRA	2023	DBLP DOI BibTeX RDF
11	Michael M. Bilevich, Steven M. LaValle, Dan Halperin	Sensor Localization by Few Distance Measurements via the Intersection of Implicit Manifolds.	ICRA	2023	DBLP DOI BibTeX RDF
11	Alejandro Tevera-Ruiz, Rodolfo García-Rodríguez, Vicente Parra-Vega	Damping Injection Learning for Robots with Actor-Critic Driven by Integral Sliding Manifolds.	CCE	2023	DBLP DOI BibTeX RDF
11	Guillaume Huguet, Alexander Tong 0001, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy	Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds.	MLSP	2023	DBLP DOI BibTeX RDF
11	Shan Suthaharan	Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds.	ICMLA	2023	DBLP DOI BibTeX RDF
11	Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour	On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds.	IROS	2023	DBLP DOI BibTeX RDF
11	Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi	Distributed Consensus on Manifolds using the Riemannian Center of Mass.	CCTA	2023	DBLP DOI BibTeX RDF
11	Junda Ye, Zhongbao Zhang, Li Sun 0008, Yang Yan, Feiyang Wang, Fuxin Ren	SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.	WWW	2023	DBLP DOI BibTeX RDF
11	Hiroshi Hirai 0001, Harold Nieuwboer, Michael Walter 0005	Interior-point methods on manifolds: theory and applications.	FOCS	2023	DBLP DOI BibTeX RDF
11	Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro	Convolutional Filtering on Sampled Manifolds.	ICASSP	2023	DBLP DOI BibTeX RDF
11	Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro	Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.	ICASSP	2023	DBLP DOI BibTeX RDF
11	Anna Lopatnikova, Minh-Ngoc Tran	Quantum Variational Bayes on Manifolds.	ICASSP	2023	DBLP DOI BibTeX RDF
11	Ilyes Batatia	A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.	TAG-ML	2023	DBLP BibTeX RDF
11	Akash Sengupta, Ignas Budvytis, Roberto Cipolla	HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation.	CVPR	2023	DBLP DOI BibTeX RDF
11	Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane	Quantifying Extrinsic Curvature in Neural Manifolds.	CVPR Workshops	2023	DBLP DOI BibTeX RDF
11	Yu Deng, Baoyuan Wang, Heung-Yeung Shum	Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image.	CVPR	2023	DBLP DOI BibTeX RDF
11	Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li 0001	Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine.	IEEE Big Data	2023	DBLP DOI BibTeX RDF
11	Barbara Opozda	On the Tangent Bundles of Statistical Manifolds.	GSI (1)	2023	DBLP DOI BibTeX RDF
11	Tom Szwagier, Xavier Pennec	Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem.	GSI (1)	2023	DBLP DOI BibTeX RDF
11	Jihu Wang, Yuliang Shi, Han Yu 0001, Xinjun Wang, Zhongmin Yan, Fanyu Kong	Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation.	SIGIR	2023	DBLP DOI BibTeX RDF
11	Jiankai Xing, Xuejun Hu, Fujun Luan, Ling-Qi Yan 0001, Kun Xu 0003	Extended Path Space Manifolds for Physically Based Differentiable Rendering.	SIGGRAPH Asia	2023	DBLP DOI BibTeX RDF
11	Niharika Shimona D'Souza, Archana Venkataraman	mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.	IPMI	2023	DBLP DOI BibTeX RDF
11	Haggai Agmon, Yoram Burak	Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization.	NeurIPS	2023	DBLP BibTeX RDF
11	Jihun Yun, Eunho Yang	Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.	NeurIPS	2023	DBLP BibTeX RDF
11	Paul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau	Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds.	NeurIPS	2023	DBLP BibTeX RDF
11	Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding 0013, Linglong Kong, Bei Jiang	Gaussian Differential Privacy on Riemannian Manifolds.	NeurIPS	2023	DBLP BibTeX RDF
11	Molly O'Brien, Brett Wolfinger, Julia V. Bukowski, Mathias Unberath, Aria Pezeshk, Greg Hager	Mapping DNN Embedding Manifolds for Network Generalization Prediction.	WACV	2023	DBLP DOI BibTeX RDF
11	Adnan Ahmad, Wei Luo 0001, Antonio Robles-Kelly	Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds.	PAKDD (1)	2023	DBLP DOI BibTeX RDF
11	Xiulong Yang, Shihao Ji	M-EBM: Towards Understanding the Manifolds of Energy-Based Models.	PAKDD (1)	2023	DBLP DOI BibTeX RDF
11	Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao	Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks.	ICLR	2023	DBLP BibTeX RDF
11	Josua Sassen, Klaus Hildebrandt, Martin Rumpf, Benedikt Wirth	Parametrizing Product Shape Manifolds by Composite Networks.	ICLR	2023	DBLP BibTeX RDF
11	Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem	Verifying the Union of Manifolds Hypothesis for Image Data.	ICLR	2023	DBLP BibTeX RDF
11	Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò	Latent Graph Inference using Product Manifolds.	ICLR	2023	DBLP BibTeX RDF
11	Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn	Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.	ICLR	2023	DBLP BibTeX RDF
11	Karthik Elamvazhuthi, Xuechen Zhang 0002, Samet Oymak, Fabio Pasqualetti	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs.	L4DC	2023	DBLP BibTeX RDF
11	Raif M. Rustamov, Subhabrata Majumdar	Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs.	ICML	2023	DBLP BibTeX RDF
11	Ilya Kaufman, Omri Azencot	Data Representations' Study of Latent Image Manifolds.	ICML	2023	DBLP BibTeX RDF
11	Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro	Learning Globally Smooth Functions on Manifolds.	ICML	2023	DBLP BibTeX RDF
11	Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia 0001, Qi Tian 0001	SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation.	ICML	2023	DBLP BibTeX RDF
11	Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf	On Data Manifolds Entailed by Structural Causal Models.	ICML	2023	DBLP BibTeX RDF
11	Xuan Son Nguyen, Shuo Yang	Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach.	ICML	2023	DBLP BibTeX RDF
11	Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo	Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.	IJCAI	2023	DBLP DOI BibTeX RDF
11	Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard	Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates.	EUSIPCO	2023	DBLP DOI BibTeX RDF
11	Sung Woo Park, Junseok Kwon	Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
11	Valentin Duruisseaux, Melvin Leok	Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators.	J. Nonlinear Sci.	2022	DBLP DOI BibTeX RDF
11	Rodrigo D. Euzébio, Joaby S. Jucá	Limit Sets of Discontinuous Vector Fields on Two-Dimensional Manifolds.	J. Nonlinear Sci.	2022	DBLP DOI BibTeX RDF
11	Glaydston de Carvalho Bento, João Xavier da Cruz Neto, P. A. Soares Jr., Antoine Soubeyran	A new regularization of equilibrium problems on Hadamard manifolds: applications to theories of desires.	Ann. Oper. Res.	2022	DBLP DOI BibTeX RDF
11	Olympio Hacquard, Krishnakumar Balasubramanian 0002, Gilles Blanchard, Clément Levrard, Wolfgang Polonik	Topologically penalized regression on manifolds.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
11	Ho Yiu Chung, Nansen Petrosyan	Fibering flat manifolds of diagonal type and their fundamental groups.	Int. J. Algebra Comput.	2022	DBLP DOI BibTeX RDF
11	Mitsuaki Obara, Takayuki Okuno, Akiko Takeda	Sequential Quadratic Optimization for Nonlinear Optimization Problems on Riemannian Manifolds.	SIAM J. Optim.	2022	DBLP DOI BibTeX RDF
11	Maurício Silva Louzeiro, Ronny Bergmann, Roland Herzog	Fenchel Duality and a Separation Theorem on Hadamard Manifolds.	SIAM J. Optim.	2022	DBLP DOI BibTeX RDF
11	Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin	Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.	J. Vis. Commun. Image Represent.	2022	DBLP DOI BibTeX RDF
11	Balendu Bhooshan Upadhyay, Arnav Ghosh, Priyanka Mishra, Savin Treanta	Optimality conditions and duality for multiobjective semi-infinite programming problems on Hadamard manifolds using generalized geodesic convexity.	RAIRO Oper. Res.	2022	DBLP DOI BibTeX RDF
11	Yuya Yamakawa, Hiroyuki Sato	Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method.	Comput. Optim. Appl.	2022	DBLP DOI BibTeX RDF