Haitz Sáez de Ocáriz Borde
6 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 👑 Triple Crown
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Deep Learning
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Architectures
(4)
Core AI
(4)
Core Methods
(3)
Computer Vision
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Generation
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
graph neural network
(2)
product manifold
(2)
feature extraction
(1)
graph learning
(1)
3d shape generation
(1)
causal structure
(1)
bayesian optimization
(1)
riemannian geometry
(1)
generalization bound
(1)
diffusion model
(1)
3d generation
(1)
score distillation sampling
(1)
directed acyclic graph
(1)
hyperbolic space
(1)
latent graph
(1)
isometric embedding
(1)
gromov-hausdorff distance
(1)
denoising diffusion implicit model
(1)
score distillation
(1)
universal embedding
(1)
Papers
Neural Spacetimes for DAG Representation Learning
ICLR 2025
Asymmetry in Low-Rank Adapters of Foundation Models
ICML 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
ICLR 2024
Score Distillation via Reparametrized DDIM
NeurIPS 2024
Latent Graph Inference using Product Manifolds
ICLR 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
NeurIPS 2023