Co-occurring keywords · papers mentioning both
Papers
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
ICLR 2024
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
CoRL 2024
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
IJCAI 2023
Isometric Manifold Learning Using Hierarchical Flow
AAAI 2023
Metric Nearness Made Practical
AAAI 2023
On the impact of activation and normalization in obtaining isometric embeddings at initialization
NeurIPS 2023
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
ICML 2021
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
ICML 2020
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
ACL 2019
Nearly Isometric Embedding by Relaxation
NeurIPS 2016
Robust Nonrigid Registration by Convex Optimization
ICCV 2015
MLLE: Modified Locally Linear Embedding Using Multiple Weights
NeurIPS 2006
A Generalized Kernel Approach to Dissimilarity-based Classification
JMLR 2001