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