Not Knowing in Deep Representation Learning

Project Information

NoKnow

Grant agreement ID: 101125993

DOI

10.3030/101125993

EC signature date 12 April 2024

Start date 1 August 2024

End date 31 July 2029

Funded under

• European Research Council (ERC)

Total cost

€ 1 999 114,00

EU contribution

€ 1 999 114,00

Coordinated by

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The data management plan.

Publications

Conference proceedings (14)

Learning geometry and topology via multi-chart flows

Author(s): Hanlin Yu, Søren Hauberg, Marcelo Hartmann, Arto Klami, Georgios Arvanitidis
Published in: Artificial Intelligence and Statistics (AISTATS), 2025
Publisher: OpenReview

Identifying metric structures of deep latent variable models

Author(s): Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg
Published in: International Conference on Machine Learning (ICML), 2025
Publisher: OpenReview

Riemann2: Learning Riemannian Submanifolds from Riemannian Data

Author(s): Leonel Rozo, Miguel González-Duque, Noémie Jaquier, Søren Hauberg
Published in: Artificial Intelligence and Statistics (AISTATS), 2025
Publisher: OpenReview

Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges

Author(s): Andrea Testa, Søren Hauberg, Tamim Asfour, Leonel Rozo
Published in: International Conference on Representation Learning (ICLR), 2026
Publisher: OpenReview

Reparameterization invariance in approximate Bayesian inference

Author(s): Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
Published in: Neural Information Processing Systems (NeurIPS), 2024
Publisher: Curran Associates

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

Author(s): Marco Miani, Lorenzo Beretta, Søren Hauberg.
Published in: Neural Information Processing Systems (NeurIPS), 2024
Publisher: Curran Associates

Spacetime Geometry of Denoising in Diffusion Models

Author(s): Rafał Karczewski, Markus Heinonen, Alison Pouplin, Søren Hauberg, Vikas Garg
Published in: International Conference on Representation Learning (ICLR), 2026
Publisher: OpenReview

Connecting Neural Models Latent Geometries with Relative Geodesic Representations

Author(s): Hanlin Yu, Berfin Inal, Georgios Arvanitidis, Søren Hauberg, Francesco Locatello, Marco Fumero
Published in: Neural Information Processing Systems (NeurIPS), 2025
Publisher: Curran Associates

Geometric Contact Flows: Contactomorphisms for Dynamics and Control

Author(s): Andrea Testa, Søren Hauberg, Tamim Asfour and Leonel Rozo
Published in: International Conference on Machine Learning (ICML), 2025
Publisher: OpenReview

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

Author(s): Marco Miani, Hrittik Roy, Søren Hauberg
Published in: Artificial Intelligence and Statistics (AISTATS), 2025
Publisher: OpenReview

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

Author(s): Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma
Published in: eural Information Processing Systems (NeurIPS), 2024
Publisher: Curran Associates

On the Latent Information Geometry of the Grassmann Manifold

Author(s): Lorenzo Cazzella, Søren Hauberg, Georgios Arvanitidis, Matteo Matteucci
Published in: Artificial Intelligence and Statistics (AISTATS), 2025
Publisher: OpenReview

VIKING: Deep variational inference with stochastic projectionspdf icon

Author(s): Samuel G. Fadel, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg
Published in: Neural Information Processing Systems (NeurIPS), 2025
Publisher: Curran Associates

Gradients of Functions of Large Matrices

Author(s): Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
Published in: Neural Information Processing Systems (NeurIPS), 2024
Publisher: Curran Associates

Peer reviewed articles (1)

Beyond Quantification: Navigating Uncertainty in Professional AI Systems

Author(s): 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
Published in: RSS: Data Science and Artificial Intelligence, Issue 1, 2025, ISSN 3049-5148
Publisher: Oxford University Press (OUP)
DOI: 10.1093/RSSDAT/UDAF002