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Geometry

720 directly classified papers

Papers per year

Papers

Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection CVPR 2021
Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph EMNLP 2021
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering ICML 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NIPS 2021
Efficient Real-Time Radial Distortion Correction for UAVs WACV 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation NIPS 2021
Differential Privacy Over Riemannian Manifolds NIPS 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Two-Sided Wasserstein Procrustes Analysis IJCAI 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Shape From Caustics: Reconstruction of 3D-Printed Glass From Simulated Caustic Images WACV 2021
Framing RNN as a kernel method: A neural ODE approach NIPS 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021
Modeling Fine-Grained Entity Types with Box Embeddings IJCNLP 2021
Data-Driven Reachability Analysis Using Matrix Zonotopes L4DC 2021
Fast Projection Onto Convex Smooth Constraints ICML 2021
Keep Your Distance: Land Division With Separation IJCAI 2021
Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021
Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021
Importance of Parasagittal Sensor Information in Tongue Motion Capture Through a Diphonic Analysis INTERSPEECH 2021
Coresets for Decision Trees of Signals NIPS 2021