Luigi Gresele

According to our database, Luigi Gresele authored at least 25 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective.

Beatrix M. G. Nielsen, Emanuele Marconato, Andrea Dittadi, Luigi Gresele

CoRR, June, 2025

What is causal about causal models and representations?

Frederik Hytting Jørgensen, Luigi Gresele, Sebastian Weichwald

CoRR, January, 2025

All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling.

Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

Evaluating vaccine allocation strategies using simulation-assisted causal modeling.

Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

Patterns, June, 2023

Learning Identifiable Representations: Independent Influences and Multiple Views

Luigi Gresele

PhD thesis, 2023

Independent Mechanism Analysis and the Manifold Hypothesis.

Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf

CoRR, 2023

Causal Component Analysis.

Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonparametric Identifiability of Causal Representations from Unknown Interventions.

Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models.

Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ima-vae.

Patrik Reizinger, Luigi Gresele, Jack Brady, Dominik Zietlow, Julius von Kügelgen, Michel Besserve, Georg Martius, Wieland Brendel, Bernhard Schölkopf

Dataset, June, 2022

Age-stratified Covid-19 case fatality rates (CFRs): different countries and longitudinal.

Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf

Dataset, May, 2022

Evaluating vaccine allocation strategies using simulation-assisted causal modelling.

Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

CoRR, 2022

Probing the Robustness of Independent Mechanism Analysis for Representation Learning.

Joanna Sliwa, Shubhangi Ghosh, Vincent Stimper, Luigi Gresele, Bernhard Schölkopf

CoRR, 2022

On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective".

Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf

CoRR, 2022

Embrace the Gap: VAEs Perform Independent Mechanism Analysis.

Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causal Inference Through the Structural Causal Marginal Problem.

Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing

Proceedings of the International Conference on Machine Learning, 2022

2021

Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects.

Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf

IEEE Trans. Artif. Intell., 2021

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.

Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Independent mechanism analysis, a new concept?

Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning explanations that are hard to vary.

Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Modeling Shared responses in Neuroimaging Studies through MultiView ICA.

Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Relative gradient optimization of the Jacobian term in unsupervised deep learning.

Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Private Causal Inference using Propensity Scores.

Si Kai Lee, Luigi Gresele, Mijung Park, Krikamol Muandet

CoRR, 2019

The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA.

Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017

On Maximum Entropy and Inference.

Luigi Gresele, Matteo Marsili

Entropy, 2017