Haitz S\'aez de Oc\'ariz Borde

Identifiers

• name variant Haitz S\'aez de Oc\'ariz Borde 0.60 · backfill

Papers (29)

1. Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation cs.LG · 2026 · author #5
2. Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples stat.ML · 2026 · author #4
3. Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity stat.ML · 2026 · author #3
4. Soro: A Lightweight Foundation Model and Chatbot for Tajik cs.AI · 2026 · author #2
5. k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS cs.LG · 2026 · author #2
6. The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs? cs.CL · 2026 · author #2
7. Mathematical Foundations of Geometric Deep Learning cs.LG · 2025 · author #1
8. Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M) cs.CV · 2025 · author #2
9. LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs cs.LG · 2025 · author #2
10. Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters stat.ML · 2025 · author #4
11. Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization cs.CV · 2025 · author #2
12. Neural Spacetimes for DAG Representation Learning cs.LG · 2024 · author #1
13. Metric Learning for Clifford Group Equivariant Neural Networks cs.LG · 2024 · author #3
14. Score Distillation via Reparametrized DDIM cs.CV · 2024 · author #2
15. Asymmetry in Low-Rank Adapters of Foundation Models cs.LG · 2024 · author #4
16. DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer cs.RO · 2024 · author #2
17. Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts stat.ML · 2024 · author #2
18. AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference cs.LG · 2023 · author #2
19. Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries cs.LG · 2023 · author #1
20. Closed-Form Diffusion Models cs.LG · 2023 · author #2
21. Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures cs.LG · 2023 · author #3
22. Projections of Model Spaces for Latent Graph Inference cs.LG · 2023 · author #1
23. Aerothermodynamic Simulators for Rocket Design using Neural Fields physics.flu-dyn · 2023 · author #1
24. Latent Graph Inference using Product Manifolds cs.LG · 2022 · author #1
25. Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression cs.LG · 2022 · author #1
26. Sheaf Neural Networks with Connection Laplacians cs.LG · 2022 · author #3
27. Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks cs.LG · 2021 · author #1
28. Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow physics.flu-dyn · 2021 · author #1
29. Convolutional Neural Network Models and Interpretability for the Anisotropic Reynolds Stress Tensor in Turbulent One-dimensional Flows physics.flu-dyn · 2021 · author #1

Mentions

• 2508.02723 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2507.05300 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2507.01806 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2505.23331 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2506.14530 #4 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2407.09926 #3 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2310.12395 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2408.13885 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2310.15003 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2405.15891 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2402.03460 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2402.16842 #4 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2402.16308 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2311.11891 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2308.09250 #3 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2211.16199 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2303.10283 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2303.11754 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2209.13410 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2206.08702 #3 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2106.15757 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2111.00328 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2111.13297 #1 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2606.26705 #5 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde
• 2605.27379 #2 · arxiv_oai · confidence 0.70 Haitz S\'aez de Oc\'ariz Borde

Frequent Coauthors

• Anastasis Kratsios 9 shared papers
• Pietro Li\`o 5 shared papers
• Federico Barbero 3 shared papers
• Justin Solomon 3 shared papers
• Michael Bronstein 3 shared papers
• Bum Jun Kim 2 shared papers
• David Sondak 2 shared papers
• Gregory Cousins 2 shared papers
• Ingmar Posner 2 shared papers
• Kristjan Greenewald 2 shared papers
• Marc T. Law 2 shared papers
• Pavlos Protopapas 2 shared papers
• Ruiyang Hong 2 shared papers
• Simone Brugiapaglia 2 shared papers
• Xiaowen Dong 2 shared papers
• \'Alvaro Arroyo 1 shared papers
• Andrei Cristian Popescu 1 shared papers
• Anees Kazi 1 shared papers
• Artem Lukoianov 1 shared papers
• Aurelien Lucchi 1 shared papers