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de Ocáriz Borde, Haitz Sáez
14 publications
TMLR
2025
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
,
Haitz Sáez de Ocáriz Borde
,
Takashi Furuya
,
Marc T. Law
TMLR
2025
Closed-Form Diffusion Models
Christopher Scarvelis
,
Haitz Sáez de Ocáriz Borde
,
Justin Solomon
ICLRW
2025
Graph Low-Rank Adapters of High Regularity for Graph Neural Networks and Graph Transformers
Pantelis Papageorgiou
,
Haitz Sáez de Ocáriz Borde
,
Anastasis Kratsios
,
Michael M. Bronstein
ICLR
2025
Neural Spacetimes for DAG Representation Learning
Haitz Sáez de Ocáriz Borde
,
Anastasis Kratsios
,
Marc T. Law
,
Xiaowen Dong
,
Michael M. Bronstein
ICLRW
2024
Asymmetry in Low-Rank Adapters of Foundation Models
Jiacheng Zhu
,
Kristjan Greenewald
,
Kimia Nadjahi
,
Haitz Sáez de Ocáriz Borde
,
Rickard Brüel Gabrielsson
,
Leshem Choshen
,
Marzyeh Ghassemi
,
Mikhail Yurochkin
,
Justin Solomon
ICMLW
2024
Metric Learning for Clifford Group Equivariant Neural Networks
Riccardo Ali
,
Paulina Kulytė
,
Haitz Sáez de Ocáriz Borde
,
Pietro Lio
ICLR
2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde
,
Anastasis Kratsios
NeurIPS
2024
Score Distillation via Reparametrized DDIM
Artem Lukoianov
,
Haitz Sáez de Ocáriz Borde
,
Kristjan Greenewald
,
Vitor Campagnolo Guizilini
,
Timur Bagautdinov
,
Vincent Sitzmann
,
Justin Solomon
NeurIPSW
2023
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference
Yuan Lu
,
Haitz Sáez de Ocáriz Borde
,
Pietro Lio
ICMLW
2023
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
Haitz Sáez de Ocáriz Borde
,
Alvaro Arroyo
,
Ismael Morales
,
Ingmar Posner
,
Xiaowen Dong
ICLR
2023
Latent Graph Inference Using Product Manifolds
Haitz Sáez de Ocáriz Borde
,
Anees Kazi
,
Federico Barbero
,
Pietro Lio
NeurIPS
2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Haitz Sáez de Ocáriz Borde
,
Alvaro Arroyo
,
Ismael Morales
,
Ingmar Posner
,
Xiaowen Dong
ICLRW
2023
Projections of Model Spaces for Latent Graph Inference
Haitz Sáez de Ocáriz Borde
,
Alvaro Arroyo
,
Ingmar Posner
NeurIPSW
2022
Sheaf Attention Networks
Federico Barbero
,
Cristian Bodnar
,
Haitz Sáez de Ocáriz Borde
,
Pietro Lio