Luigi Gresele - RankMe

36 papers A* 10A 2Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Logit Distance Bounds Representational Similarity. CoRR Beatrix M. G. Nielsen, Emanuele Marconato, Luigi Gresele, Andrea Dittadi, Simon Buchholz
2025	A	`conf`	All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling. AISTATS Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele
2025	J	`jnl`	What is causal about causal models and representations? CoRR Frederik Hytting Jørgensen, Luigi Gresele, Sebastian Weichwald
2025	J	`jnl`	When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective. CoRR Beatrix M. G. Nielsen, Emanuele Marconato, Andrea Dittadi, Luigi Gresele
2024	J	`jnl`	All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling. CoRR Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele
2023	A*	`conf`	CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
2023	J	`jnl`	CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
2023	A*	`conf`	Causal Component Analysis. NeurIPS Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
2023	J	`jnl`	Causal Component Analysis. CoRR Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
2023	J	`jnl`	Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf
2023	J	`jnl`	Independent Mechanism Analysis and the Manifold Hypothesis. CoRR Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
2023	—	`—`	Learning Identifiable Representations: Independent Influences and Multiple Views Luigi Gresele
2023	A*	`conf`	Nonparametric Identifiability of Causal Representations from Unknown Interventions. NeurIPS Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
2023	J	`jnl`	Nonparametric Identifiability of Causal Representations from Unknown Interventions. CoRR Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
2022	A*	`conf`	Causal Inference Through the Structural Causal Marginal Problem. ICML Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2022	J	`jnl`	Causal Inference Through the Structural Causal Marginal Problem. CoRR Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2022	A*	`conf`	Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022	J	`jnl`	Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022	J	`jnl`	Evaluating vaccine allocation strategies using simulation-assisted causal modelling. CoRR Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf
2022	J	`jnl`	On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective". CoRR Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
2022	J	`jnl`	Probing the Robustness of Independent Mechanism Analysis for Representation Learning. CoRR Joanna Sliwa, Shubhangi Ghosh, Vincent Stimper, Luigi Gresele, Bernhard Schölkopf
2021	A*	`conf`	Independent mechanism analysis, a new concept? NeurIPS Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	J	`jnl`	Independent mechanism analysis, a new concept? CoRR Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	A*	`conf`	Learning explanations that are hard to vary. ICLR Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf
2021	A*	`conf`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. NeurIPS Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2021	J	`jnl`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. CoRR Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2021	J	`jnl`	Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects. IEEE Trans. Artif. Intell. Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf
2020	J	`jnl`	Learning explanations that are hard to vary. CoRR Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf
2020	J	`jnl`	Modeling Shared Responses in Neuroimaging Studies through MultiView ICA. CoRR Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin
2020	A*	`conf`	Modeling Shared responses in Neuroimaging Studies through MultiView ICA. NeurIPS Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin
2020	A*	`conf`	Relative gradient optimization of the Jacobian term in unsupervised deep learning. NeurIPS Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen
2020	J	`jnl`	Relative gradient optimization of the Jacobian term in unsupervised deep learning. CoRR Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen
2019	J	`jnl`	Private Causal Inference using Propensity Scores. CoRR Si Kai Lee, Luigi Gresele, Mijung Park, Krikamol Muandet
2019	J	`jnl`	The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA. CoRR Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
2019	A	`conf`	The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. UAI Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
2017	J	`jnl`	On Maximum Entropy and Inference. Entropy Luigi Gresele, Matteo Marsili