Not Knowing in Deep Representation Learning

Información del proyecto

NoKnow

Identificador del acuerdo de subvención: 101125993

DOI

10.3030/101125993

Fecha de la firma de la CE 12 Abril 2024

Fecha de inicio 1 Agosto 2024

Fecha de finalización 31 Julio 2029

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 1 999 114,00

Aportación de la UE

€ 1 999 114,00

Coordinado por

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (1)

Data Management Plan

The data management plan.

Publicaciones

Conference proceedings (14)

Learning geometry and topology via multi-chart flows

Autores: Hanlin Yu, Søren Hauberg, Marcelo Hartmann, Arto Klami, Georgios Arvanitidis
Publicado en: Artificial Intelligence and Statistics (AISTATS), 2025
Editor: OpenReview

Identifying metric structures of deep latent variable models

Autores: Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg
Publicado en: International Conference on Machine Learning (ICML), 2025
Editor: OpenReview

Riemann2: Learning Riemannian Submanifolds from Riemannian Data

Autores: Leonel Rozo, Miguel González-Duque, Noémie Jaquier, Søren Hauberg
Publicado en: Artificial Intelligence and Statistics (AISTATS), 2025
Editor: OpenReview

Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges

Autores: Andrea Testa, Søren Hauberg, Tamim Asfour, Leonel Rozo
Publicado en: International Conference on Representation Learning (ICLR), 2026
Editor: OpenReview

Reparameterization invariance in approximate Bayesian inference

Autores: Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
Publicado en: Neural Information Processing Systems (NeurIPS), 2024
Editor: Curran Associates

Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information

Autores: Marco Miani, Lorenzo Beretta, Søren Hauberg.
Publicado en: Neural Information Processing Systems (NeurIPS), 2024
Editor: Curran Associates

Spacetime Geometry of Denoising in Diffusion Models

Autores: Rafał Karczewski, Markus Heinonen, Alison Pouplin, Søren Hauberg, Vikas Garg
Publicado en: International Conference on Representation Learning (ICLR), 2026
Editor: OpenReview

Connecting Neural Models Latent Geometries with Relative Geodesic Representations

Autores: Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero
Publicado en: Neural Information Processing Systems (NeurIPS), 2025
Editor: Curran Associates

Geometric Contact Flows: Contactomorphisms for Dynamics and Control

Autores: Andrea Testa, Søren Hauberg, Tamim Asfour and Leonel Rozo
Publicado en: International Conference on Machine Learning (ICML), 2025
Editor: OpenReview

Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections

Autores: Marco Miani, Hrittik Roy, Søren Hauberg
Publicado en: Artificial Intelligence and Statistics (AISTATS), 2025
Editor: OpenReview

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Autores: Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma
Publicado en: eural Information Processing Systems (NeurIPS), 2024
Editor: Curran Associates

On the Latent Information Geometry of the Grassmann Manifold

Autores: Lorenzo Cazzella, Søren Hauberg, Georgios Arvanitidis, Matteo Matteucci
Publicado en: Artificial Intelligence and Statistics (AISTATS), 2025
Editor: OpenReview

VIKING: Deep variational inference with stochastic projectionspdf icon

Autores: Samuel G. Fadel, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg
Publicado en: Neural Information Processing Systems (NeurIPS), 2025
Editor: Curran Associates

Gradients of Functions of Large Matrices

Autores: Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
Publicado en: Neural Information Processing Systems (NeurIPS), 2024
Editor: Curran Associates

Peer reviewed articles (1)

Beyond Quantification: Navigating Uncertainty in Professional AI Systems

Autores: Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D Lawrence
Publicado en: RSS: Data Science and Artificial Intelligence, Edición 1, 2025, ISSN 3049-5148
Editor: Oxford University Press (OUP)
DOI: 10.1093/RSSDAT/UDAF002