Search results for "Manifolds"

Hits ?▲	Authors	Title	Venue	Year	Link
11	Jiaming Hu, Shrutheesh R. Iyer, Henrik I. Christensen	An Experience-based TAMP Framework for Foliated Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin, Judith Rousseau	Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Justin Diamond, Markus Lill	Geometric Constraints in Probabilistic Manifolds: A Bridge from Molecular Dynamics to Structured Diffusion Processes.	CoRR	2023	DBLP DOI BibTeX RDF
11	Mu Niu, Zhenwen Dai, Pokman Cheung, Yizhu Wang	Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics.	CoRR	2023	DBLP DOI BibTeX RDF
11	Suad Krilasevic, Sergio Grammatico	Stability of singularly perturbed hybrid systems with restricted systems evolving on boundary layer manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Colleen Delaney, Clément Maria, Eric Samperton	An algorithm for Tambara-Yamagami quantum invariants of 3-manifolds, parameterized by the first Betti number.	CoRR	2023	DBLP DOI BibTeX RDF
11	Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami	Improving embedding of graphs with missing data by soft manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu 0001, Nicu Sebe	Adaptive Riemannian Metrics on SPD Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Martin Arnold, Elena Celledoni, Ergys Çokaj, Brynjulf Owren, Denise Tumiotto	B-stability of numerical integrators on Riemannian manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Attilio Frangi, Alessio Colombo, Alessandra Vizzaccaro, Cyril Touzé	Reduced order modelling of fully coupled electro-mechanical systems through invariant manifolds with applications to microstructures.	CoRR	2023	DBLP DOI BibTeX RDF
11	Vasiliki Liontou, Matilde Marcolli	Gabor frames and higher dimensional boundaries in signal analysis on manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Alec Dektor, Daniele Venturi 0002	Coordinate-adaptive integration of PDEs on tensor manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Styfen Schär, Stefano Marelli, Bruno Sudret	Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX).	CoRR	2023	DBLP DOI BibTeX RDF
11	Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao	On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, André Meixner, Franziska Krebs, Tamim Asfour	Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Andrew Lee, Harlin Lee, Jose A. Perea, Nikolas Schonsheck, Madeleine Weinstein	O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Stuti Pathak, Thomas M. McDonald 0001, Rudi Penne	One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Hiroyuki Sakai 0007, Hideaki Iiduka	Modified memoryless spectral-scaling Broyden family on Riemannian manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull	GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Sophie Mildenberger, Michael Quellmalz	A double Fourier sphere method for d-dimensional manifolds.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Paul Starke, Sebastian Starke, Taku Komura, Frank Steinicke	Motion In-Betweening with Phase Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Daniel Robert-Nicoud, Andreas Krause 0001, Viacheslav Borovitskiy	Intrinsic Gaussian Vector Fields on Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Rudy Geelen, Laura Balzano, Stephen Wright, Karen Willcox	Learning physics-based reduced-order models from data using nonlinear manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai	Implicit Gaussian process representation of vector fields over arbitrary latent manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Harold Erbin, Riccardo Finotello	Deep learning complete intersection Calabi-Yau manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Martin W. Licht	Towards finite element exterior calculus over manifolds: commuting projections, geometric variational crimes, and approximation errors.	CoRR	2023	DBLP DOI BibTeX RDF
11	Ziyu Cao, Kailai Li	Gaussian Process on the Product of Directional Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Marta Ghirardelli	Optimization via conformal Hamiltonian systems on manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Simone Ciceri, Lorenzo Cassani, Pierre Pizzochero, Matteo Osella, Pietro Rotondo, Marco Gherardi	Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation.	CoRR	2023	DBLP DOI BibTeX RDF
11	Siran Li	Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite.	CoRR	2023	DBLP DOI BibTeX RDF
11	Shenyuan Liang, Pavan K. Turaga, Anuj Srivastava	Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae.	CoRR	2023	DBLP DOI BibTeX RDF
11	Alejandro Cholaquidis, Fabrice Gamboa, Leonardo Moreno	Conformal inference for regression on Riemannian Manifolds.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro	Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back.	CoRR	2023	DBLP DOI BibTeX RDF
11	Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang	Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications.	CoRR	2023	DBLP DOI BibTeX RDF
11	Xuan Son Nguyen, Shuo Yang	Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach.	CoRR	2023	DBLP DOI BibTeX RDF
11	Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Thomas Hangelbroek, Christian Rieger	Kernel Multi-Grid on Manifolds.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Odelia Melamed, Gilad Yehudai, Gal Vardi	Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Gianfranco Cortes, Yue Yu, Robin Chen, Melissa Armstrong, David E. Vaillancourt, Baba C. Vemuri	Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications.	CoRR	2023	DBLP DOI BibTeX RDF
11	Martin Tancer	Simpler algorithmically unrecognizable 4-manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Brian A. Bittner, Jason Reid, Kevin C. Wolfe	Floating-base manipulation on zero-perturbation manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Daniel Kelshaw, Luca Magri	Short and Straight: Geodesics on Differentiable Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yang Cai 0001, Michael I. Jordan, Tianyi Lin, Argyris Oikonomou, Emmanouil V. Vlatakis-Gkaragkounis	Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Alessandra Vizzaccaro, Giorgio Gobat, Attilio Frangi, Cyril Touzé	Direct parametrisation of invariant manifolds for generic non-autonomous systems including superharmonic resonances.	CoRR	2023	DBLP DOI BibTeX RDF
11	Nicolas Klenert, Verena Lepper, Daniel Baum	A Local Iterative Approach for the Extraction of 2D Manifolds from Strongly Curved and Folded Thin-Layer Structures.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding 0013, Linglong Kong, Bei Jiang	Gaussian Differential Privacy on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Yuval Zelig, Shai Dekel	Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
11	Tuan Truong, Hoang-Phi Nguyen, Tung Pham 0001, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung 0001, Trung Le	RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.	CoRR	2023	DBLP DOI BibTeX RDF
11	Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov	Sampling and estimation on manifolds using the Langevin diffusion.	CoRR	2023	DBLP DOI BibTeX RDF
11	Paulina Hoyos, Joe Kileel 0001	Diffusion Maps for Group-Invariant Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Jianzhu Huai, Xiang Gao	A Quick Guide for the Iterated Extended Kalman Filter on Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Sui Tang, Malik Tuerkoen, Hanming Zhou	On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Mauricio S. Louzeiro, Gilson N. Silva, Jinyun Yuan	Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Boris Kramer, Serkan Gugercin, Jeff Borggaard	Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Zhenghao Xu, Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao	Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Xiulong Yang, Shihao Ji	M-EBM: Towards Understanding the Manifolds of Energy-Based Models.	CoRR	2023	DBLP DOI BibTeX RDF
11	Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong 0001	Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Jingkai Yan, Shiyu Wang, Xinyu Rain Wei, Jimmy Wang, Zsuzsanna Márka, Szabolcs Márka, John Wright 0001	TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Kerun Xu, Miranda C. Holmes-Cerfon	Monte Carlo on manifolds in high dimensions.	CoRR	2023	DBLP DOI BibTeX RDF
11	Dezhong Tong, Andrew Choi, Demetri Terzopoulos, Jungseock Joo, Mohammad Khalid Jawed	Deep Learning of Force Manifolds from the Simulated Physics of Robotic Paper Folding.	CoRR	2023	DBLP DOI BibTeX RDF
11	Hassan Alshal	Einstein's Equations and the Entropy of pseudo-Riemannian Information Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe	Learning Distributions on Manifolds with Free-form Flows.	CoRR	2023	DBLP DOI BibTeX RDF
11	Bin Gao, Renfeng Peng, Ya-Xiang Yuan	Optimization on product manifolds under a preconditioned metric.	CoRR	2023	DBLP DOI BibTeX RDF
11	Behrooz Tahmasebi, Stefanie Jegelka	The Exact Sample Complexity Gain from Invariances for Kernel Regression on Manifolds.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Juan M. Bello-Rivas, Anastasia S. Georgiou, Hannes Vandecasteele, Ioannis G. Kevrekidis	Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Gentian Zavalani, Oliver Sander, Michael Hecht	High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations.	CoRR	2023	DBLP DOI BibTeX RDF
11	Duc Thien Nguyen, Konstantinos Slavakis	Multi-Linear Kernel Regression and Imputation in Data Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	La Mi, Jorge M. Gonçalves, Johan Markdahl	Asymptotically stable polarization of multi-agent gradient flows over manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Benedikt Brantner	Generalizing Adam To Manifolds For Efficiently Training Transformers.	CoRR	2023	DBLP DOI BibTeX RDF
11	Kaiqi Zhang 0002, Zixuan Zhang, Minshuo Chen, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang 0003	Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks.	CoRR	2023	DBLP DOI BibTeX RDF
11	Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne	Semi-Supervised Laplacian Learning on Stiefel Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Josua Sassen, Klaus Hildebrandt, Martin Rumpf, Benedikt Wirth	Parametrizing Product Shape Manifolds by Composite Networks.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Ilyes Batatia	A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Samuel Burbulla	Physics-informed neural networks for transformed geometries and manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Dimitrios G. Patsatzis, Gianluca Fabiani, Lucia Russo, Constantinos I. Siettos	Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning.	CoRR	2023	DBLP DOI BibTeX RDF
11	Karthik Elamvazhuthi, Spring Berman	Density Stabilization Strategies for Nonholonomic Agents on Compact Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Francesco Romor, Giovanni Stabile, Gianluigi Rozza	Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
11	Patrick J. Roddy, Jason D. McEwen	Slepian Scale-Discretised Wavelets on Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Henry Kvinge, Davis Brown, Charles Godfrey	Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension.	CoRR	2023	DBLP DOI BibTeX RDF
11	Jaehyeong Jo, Sung Ju Hwang	Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes.	CoRR	2023	DBLP DOI BibTeX RDF
11	Jean Carlo Guella, Janin Jäger	Strictly positive definite kernels on compact Riemannian manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Patrick Buchfink, Silke Glas, Bernard Haasdonk	Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Daniel Kelshaw, Luca Magri	Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Nathan Mankovich, Tolga Birdal	Chordal Averaging on Flag Manifolds and Its Applications.	CoRR	2023	DBLP DOI BibTeX RDF
11	Eduardo G. Altmann, Jonathan Spreer	Sampling triangulations of manifolds using Monte Carlo methods.	CoRR	2023	DBLP DOI BibTeX RDF
11	Ilya Kaufman, Omri Azencot	Data Representations' Study of Latent Image Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Marco Pegoraro 0002, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein	Vector Quantile Regression on Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer	Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Oliver Knill	Discrete Algebraic sets in Discrete Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Zengjie Zhang, Yingwei Du, Tong Liu, Fangzhou Liu, Martin Buss	Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems.	CoRR	2023	DBLP DOI BibTeX RDF
11	Pablo C. López-Custodio, Karthik Bharath, A. Kucukyilmaz, S. P. Preston	Non-parametric regression for robot learning on manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
11	Martin W. Licht	Smoothed projections over manifolds in finite element exterior calculus.	CoRR	2023	DBLP DOI BibTeX RDF