Haitz Sáez de Ocáriz Borde
Haitz Sáez de Ocáriz Borde - Google Scholar
University of Oxford - 172 lần trích dẫn - Geometric Deep Learning - Generative Models
Haitz Sáez de Ocáriz Borde on X: "Reminds me of my first class at ...
Reminds me of my first class at uni.
Flavio Savarino - Академия Google
Haitz Sáez de Ocáriz BordeUniversity of Oxford ... H Sáez de Ocáriz Borde, P Innocenzi, F Savarino. arXiv e-prints, arXiv ...
Haitz Sáez de Ocáriz Borde (with Michael Bronstein); Scott Le Roux (with Michael Bronstein); Dylan Sandfelder (with Mihai Cucuringu); Huidong Liang (with Mihai ...
lrnzgiusti/awesome-topological-deep-learning - GitHub
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael Bronstein, Petar Veličković, Pietro Liò. ICML 2022 Workshop on Topology, Algebra, and ...
Score Distillation via Reparametrized DDIM - Artem Lukoianov
Haitz Sáez de Ocáriz Borde2, Kristjan Greenewald3, Vitor Campagnolo Guizilini4, Timur Bagautdinov5, Vincent Sitzmann1, Justin Solomon1. 1Massachusetts ...
ICLR Poster Neural Snowflakes: Universal Latent Graph Inference ...
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries. Haitz Sáez de Ocáriz Borde · Anastasis Kratsios. Halle B #248. [ Abstract ].
ICML Sheaf Neural Networks with Connection Laplacians
Sheaf Neural Networks with Connection Laplacians. Federico Barbero · Cristian Bodnar · Haitz Sáez de Ocáriz Borde · Michael Bronstein · Petar Veličković · ...
Neural Spacetimes for DAG Representation Learning
authors. Borde, Haitz Sáez de Ocáriz; Kratsios, Anastasis; Law, Marc T; Dong, Xiaowen; Bronstein, Michael ...
Interpretability in deep learning for finance: a case study
Haitz Saez de Ocariz Borde. Registered: · Damiano Brigo · Andrea Pallavicini. Abstract. Deep learning is a powerful tool whose applications in quantitative ...
Capacity bounds for hyperbolic neural network representations of ...
Haitz Sáez de Ocáriz Borde: Data curation, Investigation, Software, Validation, Visualization, Writing – review & editing. Declaration of competing interest.
Haitz Sáez De Ocáriz Borde - SlidesLive
HSDOB. Haitz Sáez De Ocáriz Borde. 0 sledujících. Sledovat. Prezentace 2 Události 3 Sledující 0 O řečníkovi · Načíst další.
No Need for Attention in Large Graph Representation Learning - arXiv
Authors:Haitz Sáez de Ocáriz Borde, Artem Lukoianov, Anastasis Kratsios, Michael Bronstein, Xiaowen Dong ... Submission history. From: Haitz Sáez ...
Projections of Model Spaces for Latent Graph Inference - ICLR 2025
Haitz Sáez de Ocáriz Borde · Alvaro Arroyo · Ingmar Posner ... Chat is not available. Successful Page Load ...
Sheaf Attention Networks - NeurIPS 2024
Federico Barbero · Cristian Bodnar · Haitz Sáez de Ocáriz Borde · Pietro Lió. Keywords: [ Sheaf Neural Networks ] [ graph neural networks ] [ Graph Attention ...
Haitz Sáez De Ocáriz Borde - SlidesLive Health
Haitz Sáez De Ocáriz Borde. 0 sledujících. Sledovat. Prezentace 2 Události 3 Sledující 0 O řečníkovi · Načíst další · Načíst další. Žádní sledující.
Latent Graph Inference using Product Manifolds. Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Lio International Conference on Learning ...
ICML Metric Learning for Clifford Group Equivariant Neural Networks
Riccardo Maria Ali · Paulina Kulytė · Haitz Sáez de Ocáriz Borde · Pietro Lió. Keywords: [ Metric Learning ] [ Clifford Algebra ] [ category theory ].
Neural latent geometry search - ACM Digital Library
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael Bronstein, Petar Veličković, and Pietrò Liò. Sheaf neural networks with ...
Interpretability in deep learning for finance: a case ... - NASA ADS
Saez de Ocariz Borde, Haitz. Abstract. Deep learning is a powerful tool whose applications in quantitative finance are growing every day. Yet, artificial ...