On Maximum Entropy and Inference. - Luigi Gresele; Matteo Marsili (Entropy, 2017)

The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. - Luigi Gresele; Paul K. Rubenstein; Arash Mehrjou; Francesco Locatello; Bernhard Schölkopf (UAI, 2019)

Private Causal Inference using Propensity Scores. - Si Kai Lee; Luigi Gresele; Mijung Park; Krikamol Muandet (CoRR, 2019)

Relative gradient optimization of the Jacobian term in unsupervised deep learning. - Luigi Gresele; Giancarlo Fissore; Adrián Javaloy; Bernhard Schölkopf; Aapo Hyvärinen (NeurIPS, 2020)

Modeling Shared responses in Neuroimaging Studies through MultiView ICA. - Hugo Richard; Luigi Gresele; Aapo Hyvärinen; Bertrand Thirion; Alexandre Gramfort; Pierre Ablin (NeurIPS, 2020)

Learning explanations that are hard to vary. - Giambattista Parascandolo; Alexander Neitz; Antonio Orvieto; Luigi Gresele; Bernhard Schölkopf (ICLR, 2021)

Independent mechanism analysis, a new concept? - Luigi Gresele; Julius von Kügelgen; Vincent Stimper; Bernhard Schölkopf; Michel Besserve (NeurIPS, 2021)

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. - Julius von Kügelgen; Yash Sharma 001; Luigi Gresele; Wieland Brendel; Bernhard Schölkopf; Michel Besserve; Francesco Locatello (NeurIPS, 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)

Causal Inference Through the Structural Causal Marginal Problem. - Luigi Gresele; Julius von Kügelgen; Jonas M. Kübler; Elke Kirschbaum; Bernhard Schölkopf; Dominik Janzing (ICML, 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 (NeurIPS, 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)

Probing the Robustness of Independent Mechanism Analysis for Representation Learning. - Joanna Sliwa 002; Shubhangi Ghosh; Vincent Stimper; Luigi Gresele; Bernhard Schölkopf (CoRR, 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)

Age-stratified Covid-19 case fatality rates (CFRs): different countries and longitudinal. - Julius von Kügelgen; Luigi Gresele; Bernhard Schölkopf (IEEE DataPort, 2022)

ima-vae. - Patrik Reizinger; Luigi Gresele; Jack Brady; Dominik Zietlow; Julius von Kügelgen; Michel Besserve; Georg Martius; Wieland Brendel; Bernhard Schölkopf (Zenodo, 2022)

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. - Zhijing Jin 001; Yuen Chen; Felix Leeb; Luigi Gresele; Ojasv Kamal; Zhiheng Lyu; Kevin Blin; Fernando Gonzalez Adauto; Max Kleiman-Weiner; Mrinmaya Sachan; Bernhard Schölkopf (NeurIPS, 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 (NeurIPS, 2023)

Causal Component Analysis. - Wendong Liang; Armin Kekic; Julius von Kügelgen; Simon Buchholz; Michel Besserve; Luigi Gresele; Bernhard Schölkopf (NeurIPS, 2023)

Independent Mechanism Analysis and the Manifold Hypothesis. - Shubhangi Ghosh; Luigi Gresele; Julius von Kügelgen; Michel Besserve; Bernhard Schölkopf (CoRR, 2023)

Learning Identifiable Representations: Independent Influences and Multiple Views - Luigi Gresele (2023)

Evaluating vaccine allocation strategies using simulation-assisted causal modeling. - Armin Kekic; Jonas Dehning; Luigi Gresele; Julius von Kügelgen; Viola Priesemann; Bernhard Schölkopf (Patterns, 2023)

All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling. - Emanuele Marconato; Sébastien Lachapelle; Sebastian Weichwald; Luigi Gresele (AISTATS, 2025)

What is causal about causal models and representations? - Frederik Hytting Jørgensen; Luigi Gresele; Sebastian Weichwald (CoRR, 2025)

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective. - Beatrix M. G. Nielsen; Emanuele Marconato; Andrea Dittadi; Luigi Gresele (CoRR, 2025)