Cover Image

Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gharib, Shayan, Hartmann, Marcelo, Klami, Arto
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
by: Yu, Hanlin, et al.
Published: (2023)

Learning Geometry and Topology via Multi-Chart Flows
by: Yu, Hanlin, et al.
Published: (2025)

Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process
by: Williams, Bernardo, et al.
Published: (2026)

Simplex-to-Euclidean Bijections for Categorical Flow Matching
by: Williams, Bernardo, et al.
Published: (2025)

Riemannian Laplace Approximation with the Fisher Metric
by: Yu, Hanlin, et al.
Published: (2023)

Warped geometric information on the optimisation of Euclidean functions
by: Hartmann, Marcelo, et al.
Published: (2023)

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
by: Luu, Hoang Phuc Hau, et al.
Published: (2024)

Score-Based Density Estimation from Pairwise Comparisons
by: Mikkola, Petrus, et al.
Published: (2025)

Preferential Normalizing Flows
by: Mikkola, Petrus, et al.
Published: (2024)

Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
by: Rahiminasab, Zahra, et al.
Published: (2026)

Non-geodesically-convex optimization in the Wasserstein space
by: Luu, Hoang Phuc Hau, et al.
Published: (2024)

Density Ratio Estimation with Conditional Probability Paths
by: Yu, Hanlin, et al.
Published: (2025)

On the Identifiability of Tensor Ranks via Prior Predictive Matching
by: da Silva, Eliezer, et al.
Published: (2025)

Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
by: Williams, Bernardo, et al.
Published: (2025)

Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
by: Yu, Hanlin, et al.
Published: (2026)

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
by: Chen, Yuen, et al.
Published: (2025)

Geometric Embedding Alignment via Curvature Matching in Transfer Learning
by: Ko, Sung Moon, et al.
Published: (2025)

Pairwise Alignment Improves Graph Domain Adaptation
by: Liu, Shikun, et al.
Published: (2024)

Consecutive Preferential Bayesian Optimization
by: Erarslan, Aras, et al.
Published: (2025)

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
by: Nguyen, Anh T, et al.
Published: (2023)

Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
by: Luong, Diep, et al.
Published: (2023)

Adversarial Representation Learning for Robust Privacy Preservation in Audio
by: Gharib, Shayan, et al.
Published: (2023)

Siegel Neural Networks
by: Nguyen, Xuan Son, et al.
Published: (2025)

GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
by: Tu, Gang, et al.
Published: (2024)

Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
by: Luo, You-Wei, et al.
Published: (2024)

Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2025)

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
by: Nejjar, Ismail, et al.
Published: (2024)

Enhancing Domain Adaptation through Prompt Gradient Alignment
by: Phan, Hoang, et al.
Published: (2024)

Domain Adaptation with a Single Vision-Language Embedding
by: Fahes, Mohammad, et al.
Published: (2024)

SHED: Style-Homogenized Embedding Alignment for Domain Generalization
by: Gan, Kai, et al.
Published: (2026)

Gradual Domain Adaptation via Normalizing Flows
by: Sagawa, Shogo, et al.
Published: (2022)

Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2026)

Hyperbolic Delaunay Geometric Alignment
by: Medbouhi, Aniss Aiman, et al.
Published: (2024)

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
by: Xiao, Zhiqing, et al.
Published: (2025)

Geometric Reasoning in the Embedding Space
by: Hůla, Jan, et al.
Published: (2025)

Alignment-Aware Model Adaptation via Feedback-Guided Optimization
by: Bhatt, Gaurav, et al.
Published: (2026)

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)

One-Class Domain Adaptation via Meta-Learning
by: Holly, Stephanie, et al.
Published: (2025)

Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift
by: Yuan, Shuai, et al.
Published: (2025)